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Characterization and Modelling of Various Sized Mountain Bike Tires and the Effects of Tire Tread Knobs and Inflation Pressure

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Mountain bikes continue to be the largest segment of U.S. bicycle sales, totaling some USD 577.5 million in 2017 alone. One of the distinguishing features of the mountain bike is relatively wide tires with thick, knobby treads. Although some work has been done on characterizing street and commuter bicycle tires, little or no data have been published on off-road bicycle tires. This work presents laboratory measurements of inflated tire profiles, tire contact patch footprints, and force and moment data, as well as static lateral and radial stiffness for various modern mountain bike tire sizes including plus size and fat bike tires. Pacejka’s Motorcycle Magic Formula tire model was applied and used to compare results. A basic model of tire lateral stiffness incorporating individual tread knobs as springs in parallel with the overall tread and the inflated carcass as springs in series was derived. Finally, the influence of inflation pressure was also examined. Results demonstrated appreciable differences in tire performance between 29 × 2.3”, 27.5 × 2.8”, 29 × 3”, and 26 × 4” knobby tires. The proposed simple model to combine tread knob and carcass stiffness offered a good approximation, whereas inflation pressure had a strong effect on mountain bike tire behavior.
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applied
sciences
Article
Characterization and Modelling of Various Sized
Mountain Bike Tires and the Eects of Tire Tread
Knobs and Inflation Pressure
Andrew Dressel 1, * and James Sadauckas 2
1Departments of Mechanical & Civil Engineering, University of Wisconsin-Milwaukee,
Milwaukee, WI 53211, USA
2Vehicle Dynamics & Simulation Group, Harley-Davidson Motor Company, Wauwatosa, WI 53222, USA;
james.sadauckas@harley-davidson.com
*Correspondence: adressel@uwm.edu
Received: 11 April 2020; Accepted: 29 April 2020; Published: 1 May 2020


Abstract:
Mountain bikes continue to be the largest segment of U.S. bicycle sales, totaling some USD
577.5 million in 2017 alone. One of the distinguishing features of the mountain bike is relatively wide
tires with thick, knobby treads. Although some work has been done on characterizing street and
commuter bicycle tires, little or no data have been published on o-road bicycle tires. This work
presents laboratory measurements of inflated tire profiles, tire contact patch footprints, and force and
moment data, as well as static lateral and radial stiness for various modern mountain bike tire sizes
including plus size and fat bike tires. Pacejka’s Motorcycle Magic Formula tire model was applied and
used to compare results. A basic model of tire lateral stiness incorporating individual tread knobs
as springs in parallel with the overall tread and the inflated carcass as springs in series was derived.
Finally, the influence of inflation pressure was also examined. Results demonstrated appreciable
dierences in tire performance between 29
×
2.3”, 27.5
×
2.8”, 29
×
3”, and 26
×
4” knobby tires.
The proposed simple model to combine tread knob and carcass stiness oered a good approximation,
whereas inflation pressure had a strong eect on mountain bike tire behavior.
Keywords: bicycle; mountain bike; tire tread pattern; force and moment; e-bike; tyre; dynamics
1. Introduction
Mountain biking is a popular recreation and fitness activity that uses a bicycle and components
designed to be rugged; to withstand o-road riding; and capable of handling unpaved surfaces, loose
dirt, gravel, mud, and other terrains. In 2018, some 8.69 million people participated in mountain biking
in the U.S. alone [1], which saw some USD 577.5 million in mountain bike sales the year prior [2].
Tire behavior is a critical factor in bicycle performance and safety. Like road or city bicycle tires,
weight must be kept low because, except for e-bikes, the rider must propel the vehicle under their
own power. Tire durability is important because a flat tire can ruin a ride. Ride comfort, gleaned
from the tire deflection, is a consideration even for bicycles with front and rear suspension, whereas
performance and grip become even more important when navigating up or down steep grades, dodging
trees, and other obstacles. In addition to tire size options, a wide variety of tread patterns, made
of up individual “knobs”, that is, tread elements, of various shapes, sizes, and depths are available,
depending on intended usage.
As with any sport, mountain biking has a large cadre of enthusiasts. There is much debate among
racers, riders, and industry marketing lobbies over optimal tire size, tread pattern, inflation pressure,
and, more recently, rim width. Although all these things are likely to aect a tire’s performance, little
or no scientific study of mountain bike tire properties exists in the literature.
Appl. Sci. 2020,10, 3156; doi:10.3390/app10093156 www.mdpi.com/journal/applsci
Appl. Sci. 2020,10, 3156 2 of 22
In this work, four modern mountain bike tire sizes were characterized through force and moment
measurement via the tire test device at the University of Wisconsin–Milwaukee [
3
]. Pacejka’s Motorcycle
Magic Formula tire model [
4
], which emphasizes the high camber achieved by single-track vehicles,
was fitted to the data while a non-linear polynomial from Dynamotion’s FastBike motorcycle tire
model [
5
] was fitted to the twisting torque due to camber. The four sizes of knobby tires were tested
at realistic inflation pressures for their respective size and intended use on modern (wider) rim
widths. Tire cross-sectional profiles were captured and compared using a simple and eective method.
Tire footprint analysis comparing contact patch area as well as shape via the major to minor axes of the
fitted ellipse was carried out. Static lateral and radial stiness were also measured. Further comparison
was made between the full knobby tire and a less-treaded tire of similar carcass dimensions. These
same tires then had their respective knobby and file-tread patterns removed to further quantify the
tread influence. Trends in key tire properties across a range of inflation pressures were presented,
along with results for two of the tires of interest on a slightly narrower rim.
Mountain bike tires are commonly marketed in Imperial units, with the first number indicating the
approximate outer diameter in inches and the second number indicating the approximate overall tire
width when mounted. Although the metric-based, ISO 5775 international sizing designation developed
by the European Tyre and Rim Technical Organisation (ETRTO) is generally listed somewhere on
the tire’s sidewall, its prominence seems to vary depending on brand. Because all tires in this study
prominently displayed sizing in Imperial units and maximum recommended inflation pressure in
pounds per square inch (psi) on their sidewalls, this work refers to the tires as such. Table 1shows
both the Imperial-based, marketing size, and the metric-based ETRTO size for each tire considered
herein, where double-apostrophes (”) signify inches.
Tire inflation pressures can be converted as follows:
1 psi =0.06894757 bar. (1)
Table 1.
Imperial-based marketing size versus European Tyre and Rim Technical Organisation
(ETRTO) designation.
Tire Size (in) ETRTO (mm)
29 ×2.3” 58–622
29 ×2.5” 63–622
29 ×3.0” 76–622
27.5 ×2.8” 71–584
26 ×4.0” 102–559
2. Materials and Methods
A brief description of the types of measurement conducted as well as the tools used for these
measurements is followed by a discussion of data analysis methods prior to examining the results.
2.1. Measurement
2.1.1. Tire Inflated Radius
Tire inflated radius was simply measured from ground to center of axle with the wheel in a vertical
upright position using a rule or measuring tape. This value defines the tire radius from axle to the
crown, that is, the outermost point on the circumference of the undeformed, inflated tire profile.
2.1.2. Tire Profile
Although various means exist in the automotive and motorcycle industry to measure tire profiles
including laser scanning, coordinate measuring machine (CMM) arms, or other optical methods,
this study chose a lower-tech, portable solution—a common machinist’s or carpenter’s contour gauge.
Appl. Sci. 2020,10, 3156 3 of 22
As shown in Figure 1, this device consisted of a series of pins captured between two plates.
When the pins were pressed axially against an object, they slid between the plates with a small amount
of frictional resistance, their tips conforming to the contour of the object. The user simply selects a
contour gauge of adequate width and depth, extends and levels the pins toward the object intended
for measurement, and then slowly presses the device onto the object until the desired section shape
is captured. In the case of tire profiles, this process was conducted radially toward the wheel center
to capture the tire crown to shoulder (outboard edge of tread) shape across its width, and was then
repeated orthogonally to the wheel plane to capture the side-wall contour, tire height, and rim interface.
In the case of staggered knob arrangements, the process can be repeated for each set of knobs.
Appl. Sci. 2020, 10, 3156 3 of 22
methods, this study chose a lower-tech, portable solution—a common machinist’s or carpenter’s
contour gauge.
As shown in Figure 1, this device consisted of a series of pins captured between two plates.
When the pins were pressed axially against an object, they slid between the plates with a small
amount of frictional resistance, their tips conforming to the contour of the object. The user simply
selects a contour gauge of adequate width and depth, extends and levels the pins toward the object
intended for measurement, and then slowly presses the device onto the object until the desired
section shape is captured. In the case of tire profiles, this process was conducted radially toward the
wheel center to capture the tire crown to shoulder (outboard edge of tread) shape across its width,
and was then repeated orthogonally to the wheel plane to capture the side-wall contour, tire height,
and rim interface. In the case of staggered knob arrangements, the process can be repeated for each
set of knobs.
Figure 1. Capturing mountain bike tire tread profile with carpenter’s contour gauge.
The more complicated portion of the process was then digitizing and arranging the gauge results
to accurately represent the tire’s geometry. Following each gauge measurement, the gauge was
aligned to, and overlaid on, a piece of graph paper and scanned. The images were then re-oriented,
aligned, and scaled (if necessary) in a photo processing software package. Finally, a MATLAB script
was used to identify the edge of the profile, trace it, and scale the result with respect to the grid on
the paper.
2.1.3. Footprints
Footprints were collected by coating the tire surface containing the expected contact patch with
ink using an office ink pad. The tire, which had been set to a specific inflation pressure, was then
allowed to rest vertically on a piece of white cardstock paper with prescribed normal load applied
through added weights. In this case, the force and moment fixture was used to accomplish the task;
however, a bicycle with rear wheel mounted in a stationary trainer and over whose front wheel
appropriate weights were applied could also be used.
2.1.4. Force and Moment
Force and moment measurements were performed with the tire test device at the University of
WisconsinMilwaukee. As shown in Figure 2 it consisted of a welded steel frame and an aluminum
fork to hold a bicycle wheel in a desired orientation on top of a small treadmill of flat-top chain. It
had a two-degrees of freedom pivot, implemented with an automobile universal joint, far (1.3 m)
forward of the bicycle tire so that slight variations in vertical or horizontal position produced
Figure 1. Capturing mountain bike tire tread profile with carpenter’s contour gauge.
The more complicated portion of the process was then digitizing and arranging the gauge results
to accurately represent the tire’s geometry. Following each gauge measurement, the gauge was aligned
to, and overlaid on, a piece of graph paper and scanned. The images were then re-oriented, aligned,
and scaled (if necessary) in a photo processing software package. Finally, a MATLAB script was used
to identify the edge of the profile, trace it, and scale the result with respect to the grid on the paper.
2.1.3. Footprints
Footprints were collected by coating the tire surface containing the expected contact patch with ink
using an oce ink pad. The tire, which had been set to a specific inflation pressure, was then allowed
to rest vertically on a piece of white cardstock paper with prescribed normal load applied through
added weights. In this case, the force and moment fixture was used to accomplish the task; however,
a bicycle with rear wheel mounted in a stationary trainer and over whose front wheel appropriate
weights were applied could also be used.
2.1.4. Force and Moment
Force and moment measurements were performed with the tire test device at the University of
Wisconsin–Milwaukee. As shown in Figure 2it consisted of a welded steel frame and an aluminum
fork to hold a bicycle wheel in a desired orientation on top of a small treadmill of flat-top chain. It had a
two-degrees of freedom pivot, implemented with an automobile universal joint, far (1.3 m) forward of
the bicycle tire so that slight variations in vertical or horizontal position produced negligible variations
in orientation angle. The forward pivot was implemented with needle-bearings so that any friction in
the bearings or seals generated a negligible lateral force at the contact patch.
Appl. Sci. 2020,10, 3156 4 of 22
Appl. Sci. 2020, 10, 3156 4 of 22
negligible variations in orientation angle. The forward pivot was implemented with needle-bearings
so that any friction in the bearings or seals generated a negligible lateral force at the contact patch.
This device allowed for sweeping slip and camber angles while measuring the lateral force,
,
and vertical moment, , generated in the contact patch. It used a force sensor to maintain the lateral
location of the contact patch and a second force sensor acting on a lever arm of known length to
prevent rotation of the fork that held the bicycle wheel about its steering axis.
In order to allow for the inevitable flexibility of the test frame and the bicycle wheel, the slip
orientation of the bicycle rim was measured with a pair of laser position sensors mounted rigidly to
the support platen for the flat-top chain near each end of the contact patch. Similarly, the camber
orientation of the rim was measured with an accelerometer on the fork.
Slip angle was altered by pivoting the treadmill about a vertical axis under the center of the
contact patch. Camber angle was altered by tilting the fixture about the longitudinal axis of the
universal joint, which passed through the contact patch.
The vertical load borne by the tire was generated simply by the weight of the devices frame.
Additional mass could be added above the fork as desired. For this study, the applied normal load
was set to 418 N, which equated to front tire normal load of a 95 kg rider sitting on an 11 kg bicycle
with 40% front and 60% rear weight distribution.
Figure 2. Tire force and moment measuring device at the University of Wisconsin–Milwaukee.
The lateral force generated in the contact patch was transmitted through the bicycle wheel to the
fork, and thus to the test device frame. From the frame, the force was transmitted to both the lateral
force sensor and the universal joint. A simple static summing of the moments about a vertical axis
through the universal joint provided a relationship between the lateral force generated in the contact
patch and the lateral force measured by the sensor. The mounting point on the frame for the lateral
force sensor was positioned on the same axis through the center of the contact patch as the universal
joint so that changes in camber angle had no effect on the lateral force sensor geometry.
2.1.5. Static Lateral and Radial Stiffness
Figure 2. Tire force and moment measuring device at the University of Wisconsin–Milwaukee.
This device allowed for sweeping slip and camber angles while measuring the lateral force,
Fy
,
and vertical moment,
Mz
, generated in the contact patch. It used a force sensor to maintain the lateral
location of the contact patch and a second force sensor acting on a lever arm of known length to prevent
rotation of the fork that held the bicycle wheel about its steering axis.
In order to allow for the inevitable flexibility of the test frame and the bicycle wheel, the slip
orientation of the bicycle rim was measured with a pair of laser position sensors mounted rigidly to
the support platen for the flat-top chain near each end of the contact patch. Similarly, the camber
orientation of the rim was measured with an accelerometer on the fork.
Slip angle was altered by pivoting the treadmill about a vertical axis under the center of the contact
patch. Camber angle was altered by tilting the fixture about the longitudinal axis of the universal joint,
which passed through the contact patch.
The vertical load borne by the tire was generated simply by the weight of the device’s frame.
Additional mass could be added above the fork as desired. For this study, the applied normal load was
set to 418 N, which equated to front tire normal load of a 95 kg rider sitting on an 11 kg bicycle with
40% front and 60% rear weight distribution.
The lateral force generated in the contact patch was transmitted through the bicycle wheel to the
fork, and thus to the test device frame. From the frame, the force was transmitted to both the lateral
force sensor and the universal joint. A simple static summing of the moments about a vertical axis
through the universal joint provided a relationship between the lateral force generated in the contact
patch and the lateral force measured by the sensor. The mounting point on the frame for the lateral
force sensor was positioned on the same axis through the center of the contact patch as the universal
joint so that changes in camber angle had no eect on the lateral force sensor geometry.
Appl. Sci. 2020,10, 3156 5 of 22
2.1.5. Static Lateral and Radial Stiness
Radial stiness was measured by applying incremental weight to the top of the fork and measuring
the resulting vertical deflection of the tire with a dial indicator.
Static lateral stiness was measured by pulling on the rim immediately above the contact patch
with a force and simultaneously recording the force magnitude and the resulting lateral deflection of
the rim.
As illustrated in Section 3.2.4, the lateral shear stiness of a specific number of knobs was measured
in nearly the same way, except that the tire was not mounted on a wheel and the knobs were isolated
from the rest of the tread by pressing them between two appropriately sized rectangular plates.
The normal load was applied directly by the wheel and the test frame resting on the top rectangular
plate. A lateral force was applied to the rim, as before, and the resulting lateral deflection was recorded.
Non-skid tape, by 3M, was applied to the top of the treadmill to maximize friction for both the
static lateral stiness and the force and moment measurements.
2.2. Fitting the Data
Pacejka’s Magic Formula was fit to the experimental force and moment data [
6
] in a two-step
process. First the data was smoothed using a 1D weighted, Blaise filter. Then, coecients for
Pacejka’s Magic Formula, whose general form is depicted in Equation (2), were found to best fit the
smoothed datasets for lateral force due to slip and camber, as well as to the self-aligning moment due
to slip. Specifically, constraints from Pacejka’s Motorcycle Magic Formula Tire model, which more
equally emphasizes the camber and slip angles, were applied. The utility of the Pacejka’s Motorcycle
Magic Formula for this comparison were two-fold in that, given the specified constraints, each of the
coecients, and particular combinations thereof, had some physical significance, as explained below.
Secondly, the fit data could be compared graphically and even extrapolated slightly to supplement the
sometimes limited range of angles achieved during the physical test.
y=DsinCarctan[Bx E(Bx arctanBx)], (2)
Y(X)=y(x)+SV, (3)
x=X+SH, (4)
where
Y: output variable. In this case, either lateral force, Fy, or self-aligning moment, MZSA ;
X: input variable; here, either slip or camber angle in radians; and
B: stiness factor, which determined the slope at the origin;
C: shape factor, which controlled the limits of the range of the sine function;
D: peak value (when C was constrained as specified);
E: curvature factor for the peak, controlling its horizontal position;
SH: horizontal shift;
SV: vertical shift.
The product BCD, obtained by multiplying the respective Pacejka coecients, corresponded to the
slope at the origin, that is, linear stiness of the data, which was normalized by applied vertical load,
and represented the cornering stiness coecient for slip, camber stiness coecient, and self-aligning
moment coecient, respectively.
Twisting torque due to camber, influenced predominantly by the dierence in peripheral velocities
across the bicycle tire’s toroidal shape [
7
], was modelled using the nonlinear formula from the FastBike
multibody simulation software depicted in Equation (5).
MZTW (ϕ)=mrϕN1+twϕ2, (5)
Appl. Sci. 2020,10, 3156 6 of 22
where
MZTW : twisting torque due to camber, which was then normalized by
N: the tire normal load in Newtons; and
ϕ: camber angle in radians;
mr: linear twisting torque coecient;
tw: non-linear twisting torque coecient.
Figure 3shows the results of the curve fitting for the 29
×
2.3” knobby tire. The yellow dots
represent the cloud of data collected during the fixture’s separate sweeps of slip and camber. The thin
blue line depicts the smoothed curve from the Blaise filter. Finally, the red dashed line represents the
respective fit curve for that data, whereas the red plus symbol represents the origin of the fit curve
given any osets. In this case, the Magic Formula curves for lateral force for both slip and camber
incorporated a small vertical oset, whereas that for self-aligning moment incorporated both a small
vertical and horizontal oset. The twisting torque formulation also contained a vertical oset term.
Appl. Sci. 2020, 10, 3156 6 of 22
: twisting torque due to camber, which was then normalized by
: the tire normal load in Newtons;
and
: camber angle in radians;
: linear twisting torque coefficient;
: non-linear twisting torque coefficient.
Figure 3 shows the results of the curve fitting for the 29 × 2.3” knobby tire. The yellow dots
represent the cloud of data collected during the fixtures separate sweeps of slip and camber. The thin
blue line depicts the smoothed curve from the Blaise filter. Finally, the red dashed line represents the
respective fit curve for that data, whereas the red plus symbol represents the origin of the fit curve
given any offsets. In this case, the Magic Formula curves for lateral force for both slip and camber
incorporated a small vertical offset, whereas that for self-aligning moment incorporated both a small
vertical and horizontal offset. The twisting torque formulation also contained a vertical offset term.
(a) (b)
(c) (d)
Figure 3. Force and moment raw data, smoothed lines, and fit curves for 29 × 2.3” knobby on 25 mm
rim at 25 psi (1.7 bar) with (a) normalized lateral force vs. slip angle, (b) normalized lateral force vs.
camber angle, (c) normalized self-aligning moment vs. slip angle and (d) normalized twisting torque
vs. camber angle.
As can be seen, the lateral force versus slip (Figure 3a) and, to an even greater extent, the self-
aligning moment versus slip (Figure 3c) exhibited the characteristic shape of the Magic Formula,
Figure 3.
Force and moment raw data, smoothed lines, and fit curves for 29
×
2.3” knobby on 25 mm
rim at 25 psi (1.7 bar) with (
a
) normalized lateral force vs. slip angle, (
b
) normalized lateral force vs.
camber angle, (
c
) normalized self-aligning moment vs. slip angle and (
d
) normalized twisting torque
vs. camber angle.
Appl. Sci. 2020,10, 3156 7 of 22
As can be seen, the lateral force versus slip (Figure 3a) and, to an even greater extent, the self-
aligning moment versus slip (Figure 3c) exhibited the characteristic shape of the Magic Formula,
whereas the lateral force versus camber (Figure 3b) showed less curvature, as did the twisting torque
(Figure 3d), with some negative (downward) curvature in this example. It should be noted that the
plot scales were fixed to allow comparison across all datasets reported herein.
In this case, although the fixture was capable of 30 degrees of camber, the 29
×
2.3” knobby was
only measured to about +15 and
25 degrees, whereas slip angles achieved by the fixture for this
particular tire were on the order of +/
2 degrees. In contrast large, heavy-duty automotive fixtures
test slip angles up to, or in excess of, five or six degrees. Although such slip angles may be seen in
aggressive transient or racing maneuvers, the added allure of measuring to these extremes is to better
capture the peak and subsequent asymptote of the curves. In the case of the bicycle tire measurements
and particularly the wider, knobby mountain bike tire measurements, the width of the treadmill, which
was originally designed and built for testing relatively narrow road tires, was the limiting factor. As the
wide tires were rotated in slip or in camber, care needed to be taken so that the tire did not encounter
the platen that supported the treadmill. As such, the ability to accurately identify the curvature, peak,
and asymptote terms for lateral force versus slip was limited and became even more limited with
wider tires, which in the case of the 26x4” may only achieve slip angles up to +/
1 degree with the
studied treadmill arrangement. Regardless, the slope of the respective curves near the origin, that is,
the stiness or product of BCD Pacejka coecients, was well captured and proved useful for the
subsequent comparisons herein.
3. Results and Discussion
3.1. Various Sizes of Mountain Bike Tires
For decades, mountain bikes were equipped with so-called 26-inch wheels. This was in reference
to the approximate outer tire diameter, consisting of a rim with approximately a 22-inch (559 mm)
outer diameter and a tire that is about 2 inches tall at top and bottom. The so-called “29er” wheel and
tire size, with a 24.5-inch (622 mm) diameter rim (equal to that of “700c” road bike wheels) gained
popularity in the early 2000s on the basis of its purported ability to roll over obstacles with greater
ease. However, some riders still yearned for the quick handling of smaller diameter wheels. After
significant tooling investments from the bicycle industry, the so-called 27.5-inch or “650b” wheel size,
with about a 23-inch (584 mm) rim diameter, oered what some thought was the optimal compromise.
As wheel diameters ebbed and flowed, pioneers within the industry have also explored various
tire widths. Fat bike tires, which are generally 3.8 inches (96.5 mm) or wider, grew out of a desire
to ride on soft snow and sand. The “plus tire”, 2.6 inches (66 mm) to roughly 3 inches (76 mm)
wide, split that dierence, allegedly trading some of the original 29er’s outright speed for more tire
volume and confidence-inspiring traction. Now “29 plus” tires take an extreme to the extreme in
terms of both diameter and width, and are a growing segment in both enduro mountain bike and bike
packing applications.
As tire sizes have evolved, new rim widths have been adapted to follow suit. In the past, 18 or
19 mm inner width rims, similar to those used on past road racing bikes, were the norm. Over the
past decade, rims gradually grew in width, chasing various trade-os and trends in wheel stiness,
tire stiness, tire profile, weight, and strength. For this study, “modern” rim widths appropriate to
each tire size were selected on the basis of realistic use case and/or market benchmarking within that
segment. Inner rim width will be referred to in millimeters where appropriate.
Similarly, each of the above tire and rim combinations have their own performance trade-os in
terms of “nominal” inflation pressure for a given rider weight, bike fitment, and terrain. Nominal
inflation pressures used for each tire size in the following study are based on the author’s experience
with these tire setups for summer o-road trail riding.
Appl. Sci. 2020,10, 3156 8 of 22
For the remainder of the paper, the 29
×
2.3” knobby tire on 25 mm inner rim width at 25 psi
inflation pressure is considered the baseline to which data of the other tire configurations are compared.
3.1.1. Cross-Sectional Profiles
Figure 4shows side-by-side comparisons of measured, inflated tire profiles for four dierent
knobby mountain bike tire sizes. All the tires were from the same manufacturer, and the three tires on
the left are all the same tire model only in dierent sizes. The tire on the right is a dierent model.
As described previously, as the tread pattern often contains alternating sets of knobs at regular intervals
along the tire’s circumference, these profiles overlay each of the individual knob arrangements onto
one cross section. This was done to better understand and compare the cross-sectional shapes, that is,
the eective toroid radius of each tire, although it does potentially limit the ability to visually decipher
spacing between individual knobs, which can be read from the footprints instead.
Appl. Sci. 2020, 10, 3156 8 of 22
3.1.1. Cross-Sectional Profiles
Figure 4 shows side-by-side comparisons of measured, inflated tire profiles for four different
knobby mountain bike tire sizes. All the tires were from the same manufacturer, and the three tires
on the left are all the same tire model only in different sizes. The tire on the right is a different model.
As described previously, as the tread pattern often contains alternating sets of knobs at regular
intervals along the tire’s circumference, these profiles overlay each of the individual knob
arrangements onto one cross section. This was done to better understand and compare the cross-
sectional shapes, that is, the effective toroid radius of each tire, although it does potentially limit the
ability to visually decipher spacing between individual knobs, which can be read from the footprints
instead.
Figure 4. Cross sectional profiles for 29 × 2.3”, 27.5 × 2.8”, 29 × 3”, and 26 × 4 knobby tires,
respectively.
The tires shown increase in width from left to right. In terms of inflated outer radii (or
diameters), the 29 × 3” is by far the largest, followed by the 29 × 2.3, which is very slightly larger
than the 26 × 4” fat bike tire, and finally the 27.5 × 2.8” plus tire.
The shape of these mountain bike tires’ inflated profiles is obviously influenced by rim width,
as can be seen in the curvature of the tires sidewalls and the angle that the lower sidewalls assume
toward their respective bead interfaces. Here, rim width and rim-width-relative-to-tire-width
increase from left to right.
Examining the treaded portion of each profile, intended to interact with the ground as the tire
rolls and deforms and as the bicycle cambers and steers, several observations can be made. The 29 ×
2.3” tire profile was rather flat, that is, having a large toroidal radius, with limited drop from the two
center rows of knobs to the shoulder knobs. It is also worth noting that the knob widths were
relatively small, and the shoulder knobs were almost equal in height and width but with considerable
draft (or bracing) down toward the tire sidewall to presumably support the knob. The middle two
profiles represent the “plus” tires with the 27.5 × 2.8 on the left and 29 × 3 on the right. These tires
had a similar tread pattern to the 29 × 2.3”, but both knob width and spacing increased as the tire size
increased. It is uncertain if this tread scaling is for aesthetic or performance reasons. Notice the large
gap between the center rows of knobs and shoulder knobs on the 29 × 3” tire. Notice also that the
angle of the shoulder knob was steeper and that (neglecting deformation) the tire would need to roll
farther for the tangent (ground line) to engage the shoulder knobs. The 26 × 4” fat bike tire on the
right had a different tread pattern with seven rows of knobs as opposed to the four of the other tires,
and included a center row.
3.1.2. Footprints
As described in the various literature on cars [8] and motorcycles [9], tire footprints can tell us a
lot about the interaction between the tire and ground. Normal load is applied to the tire, which
deforms to create a contact patch, or footprint, which at zero camber angle is quite elliptical on
smooth, flat ground. The distribution of the normal load over the contact patch area yields the contact
Figure 4.
Cross sectional profiles for 29
×
2.3”, 27.5
×
2.8”, 29
×
3”, and 26
×
4” knobby tires, respectively.
The tires shown increase in width from left to right. In terms of inflated outer radii (or diameters),
the 29
×
3” is by far the largest, followed by the 29
×
2.3”, which is very slightly larger than the 26
×
4”
fat bike tire, and finally the 27.5 ×2.8” plus tire.
The shape of these mountain bike tires’ inflated profiles is obviously influenced by rim width,
as can be seen in the curvature of the tires’ sidewalls and the angle that the lower sidewalls assume
toward their respective bead interfaces. Here, rim width and rim-width-relative-to-tire-width increase
from left to right.
Examining the treaded portion of each profile, intended to interact with the ground as the tire rolls
and deforms and as the bicycle cambers and steers, several observations can be made. The 29
×
2.3”
tire profile was rather flat, that is, having a large toroidal radius, with limited drop from the two center
rows of knobs to the shoulder knobs. It is also worth noting that the knob widths were relatively small,
and the shoulder knobs were almost equal in height and width but with considerable draft (or bracing)
down toward the tire sidewall to presumably support the knob. The middle two profiles represent the
“plus” tires with the 27.5
×
2.8” on the left and 29
×
3” on the right. These tires had a similar tread
pattern to the 29
×
2.3”, but both knob width and spacing increased as the tire size increased. It is
uncertain if this tread scaling is for aesthetic or performance reasons. Notice the large gap between the
center rows of knobs and shoulder knobs on the 29
×
3” tire. Notice also that the angle of the shoulder
knob was steeper and that (neglecting deformation) the tire would need to roll farther for the tangent
(ground line) to engage the shoulder knobs. The 26
×
4” fat bike tire on the right had a dierent tread
pattern with seven rows of knobs as opposed to the four of the other tires, and included a center row.
3.1.2. Footprints
As described in the various literature on cars [
8
] and motorcycles [
9
], tire footprints can tell us
a lot about the interaction between the tire and ground. Normal load is applied to the tire, which
deforms to create a contact patch, or footprint, which at zero camber angle is quite elliptical on smooth,
Appl. Sci. 2020,10, 3156 9 of 22
flat ground. The distribution of the normal load over the contact patch area yields the contact patch
pressure (not measured here). In the absence of camber, the contact patch pressure may take on a
fairly regular distribution. The presence of tread knobs obviously localizes contact pressure. Similarly,
the knobs localize the shear stress used to generate lateral and longitudinal friction forces as the tire is
slipped, cambered, driven or braked. Although not the focus of this work, it has been suggested that
even for car tires, depending on (more closely spaced) tread pattern, the localized pressure can be 10
×
the average [10].
Figure 5presents the knobby mountain bike tire footprints in the same order and on the same
10 mm grid as the cross sections in Figure 4. Here, the fitted ellipse was superimposed on the footprint
and its axes were used to calculate length and width of the contact patch. Examining overall dimensions,
it can be seen that the 26
×
4” fat bike tire had both the longest and widest contact patch followed in
length by the 29
×
3” plus tire, the 29
×
2.3” knobby, and 27.5
×
2.8”. Hence, the length of the contact
patch depended not only on tire outer diameter, but presumably also on deflection, as influenced by
inflation pressure, vertical load, and the tire’s carcass. In terms of contact patch width, the 26
×
4” was
widest, whereas 27.5
×
2.8” and 29
×
3” were essentially equal, despite their size designation, and the
29 ×2.3” at its nominal inflation pressure was narrower.
Appl. Sci. 2020, 10, 3156 9 of 22
patch pressure (not measured here). In the absence of camber, the contact patch pressure may take
on a fairly regular distribution. The presence of tread knobs obviously localizes contact pressure.
Similarly, the knobs localize the shear stress used to generate lateral and longitudinal friction forces
as the tire is slipped, cambered, driven or braked. Although not the focus of this work, it has been
suggested that even for car tires, depending on (more closely spaced) tread pattern, the localized
pressure can be 10x the average [10].
Figure 5 presents the knobby mountain bike tire footprints in the same order and on the same
10 mm grid as the cross sections in Figure 4. Here, the fitted ellipse was superimposed on the footprint
and its axes were used to calculate length and width of the contact patch. Examining overall
dimensions, it can be seen that the 26 × 4” fat bike tire had both the longest and widest contact patch
followed in length by the 29 × 3” plus tire, the 29 × 2.3” knobby, and 27.5 × 2.8”. Hence, the length of
the contact patch depended not only on tire outer diameter, but presumably also on deflection, as
influenced by inflation pressure, vertical load, and the tire’s carcass. In terms of contact patch width,
the 26 × 4 was widest, whereas 27.5 × 2.8” and 29 × 3 were essentially equal, despite their size
designation, and the 29 × 2.3 at its nominal inflation pressure was narrower.
Figure 5. Footprints for 29 × 2.3”, 27.5 × 2.8”, 29 × 3”, and 26 × 4” knobby tires, respectively.
These images bring very clear meaning to the tire industry term “void ratio” [11]. For these
knobby tires, the amount of white, empty space within the contact patch ellipse considerably
exceeded the amount of black tread interacting with ground. The same MATLAB script used for
fitting the ellipse also computed the void ratio by comparing white space to contact patch area after
converting the image to binary. The resulting void ratios in terms of percentage for each knobby tire
are listed on the figure and ranged from 69.7% to 80.6%.
As noted in the cross-sectional profiles, the tread pattern of the 27.5 × 2.8” and 29 × 3” tires
essentially scaled the size and spacing of the 29 × 2.3” tread pattern upward in proportion to tire size.
Again, the tread-pattern of these three tires offered no center ridge of knobs, whereas the 26 × 4” tire
did.
Note that the three tread patterns on the left employed essentially two different knob typologies,
one that was rectangular and one that was slightly wedge-shaped with an hourglass-shaped
longitudinal groove whose depth was roughly half of the 4.5 mm tread depth. The 26 × 4” fat bike
tire, on the right, showed four knob typologies within its footprint, two alternating central knob
chevrons with varying degrees of central and trailing-edge relief, and two types of intermediate
knobs similar to those of the other tires. Note that at zero camber angle and the inflation pressures
shown, the footprints did not engage the shoulder knobs, nor the more outboard band of intermediate
knobs on the 26x4” fat tire shown in the profiles of Figure 4. It should be noted that purposefully
Figure 5. Footprints for 29 ×2.3”, 27.5 ×2.8”, 29 ×3”, and 26 ×4” knobby tires, respectively.
These images bring very clear meaning to the tire industry term “void ratio” [
11
]. For these
knobby tires, the amount of white, empty space within the contact patch ellipse considerably exceeded
the amount of black tread interacting with ground. The same MATLAB script used for fitting the
ellipse also computed the void ratio by comparing white space to contact patch area after converting
the image to binary. The resulting void ratios in terms of percentage for each knobby tire are listed on
the figure and ranged from 69.7% to 80.6%.
As noted in the cross-sectional profiles, the tread pattern of the 27.5
×
2.8” and 29
×
3” tires
essentially scaled the size and spacing of the 29
×
2.3” tread pattern upward in proportion to tire
size. Again, the tread-pattern of these three tires oered no center ridge of knobs, whereas the 26
×
4”
tire did.
Note that the three tread patterns on the left employed essentially two dierent knob typologies,
one that was rectangular and one that was slightly wedge-shaped with an hourglass-shaped longitudinal
groove whose depth was roughly half of the 4.5 mm tread depth. The 26
×
4” fat bike tire, on the right,
showed four knob typologies within its footprint, two alternating central knob chevrons with varying
degrees of central and trailing-edge relief, and two types of intermediate knobs similar to those of the
other tires. Note that at zero camber angle and the inflation pressures shown, the footprints did not
engage the shoulder knobs, nor the more outboard band of intermediate knobs on the 26x4” fat tire
Appl. Sci. 2020,10, 3156 10 of 22
shown in the profiles of Figure 4. It should be noted that purposefully positioning the wheel’s rotation
during footprint tests to engage leading and trailing knobs to better define borders of the contact patch
greatly assisted in the identification of the ellipse.
Finally, these images of the footprint were useful in identifying how many knobs, pairs of
knobs, or partial knobs are in contact at a given inflation pressure. This becomes relevant in a
subsequent section.
3.1.3. Forces and Moments
Force and moment plots based on the Pacejka Magic coecients and FastBike fit parameters are
shown in Figure 6. Although each dataset retained a specific marker type, its line style was divided
into two sections. The solid line portion, emanating from the origin, indicates values within the
measurement range, whereas the dashed portion of the line represents any extrapolated values on
the basis of the fit. As described previously, the limited treadmill width of the test fixture constrained
slip and camber ranges, particularly for the wider knobby tires. Although the linear portion of the
curve near the origin, whose slope (i.e., stiness) was represented by the product of BCD Pacejka
coecients, was well identified, the curvature toward the peak and the eventual asymptote often had
lower resolution, as was evident when comparing the 29
×
2.3” solid versus dashed line to that of the
26x4”. As such, caution should be exercised if attempting to examine peak or curvature behavior of
the wider tire variants, especially in terms of slip angle.
Appl. Sci. 2020, 10, 3156 10 of 22
positioning the wheel’s rotation during footprint tests to engage leading and trailing knobs to better
define borders of the contact patch greatly assisted in the identification of the ellipse.
Finally, these images of the footprint were useful in identifying how many knobs, pairs of knobs,
or partial knobs are in contact at a given inflation pressure. This becomes relevant in a subsequent
section.
3.1.3. Forces and Moments
Force and moment plots based on the Pacejka Magic coefficients and FastBike fit parameters are
shown in Figure 6. Although each dataset retained a specific marker type, its line style was divided
into two sections. The solid line portion, emanating from the origin, indicates values within the
measurement range, whereas the dashed portion of the line represents any extrapolated values on
the basis of the fit. As described previously, the limited treadmill width of the test fixture constrained
slip and camber ranges, particularly for the wider knobby tires. Although the linear portion of the
curve near the origin, whose slope (i.e., stiffness) was represented by the product of BCD Pacejka
coefficients, was well identified, the curvature toward the peak and the eventual asymptote often had
lower resolution, as was evident when comparing the 29 × 2.3 solid versus dashed line to that of the
26x4”. As such, caution should be exercised if attempting to examine peak or curvature behavior of
the wider tire variants, especially in terms of slip angle.
(a) (b)
(c) (d)
Figure 6. Force and moment fitted curves for 29 × 2.3”, 27.5 × 2.8”, 29 × 3”, and 26 × 4” knobby tires
with (a) normalized lateral force vs. slip angle, (b) normalized lateral force vs. camber angle, (c)
normalized self-aligning moment vs. slip angle and (d) normalized twisting torque vs. camber
angle.
Figure 6.
Force and moment fitted curves for 29
×
2.3”, 27.5
×
2.8”, 29
×
3”, and 26
×
4” knobby
tires with (
a
) normalized lateral force vs. slip angle, (
b
) normalized lateral force vs. camber angle,
(
c
) normalized self-aligning moment vs. slip angle and (
d
) normalized twisting torque vs. camber angle.
Appl. Sci. 2020,10, 3156 11 of 22
Upon examining each of the plots in Figure 6, several interesting trends were evident. In Figure 6a,
the upper left plot of normalized lateral force versus sideslip, the 29
×
2.3” had the lowest cornering
stiness. The 27.5
×
2.8”and 29
×
3” plus tires shared similar, steeper slopes but diered in curvature,
whereas the 26
×
4” fat bike tire had nearly double the cornering stiness of the baseline tire. The vertical
axis was limited at a normalized force of 1.0 to highlight another interesting trend. Although the peak
of the curve, whose magnitude was captured by the Pacejka D coecient, should represent the peak
frictional value (approaching 1.3 here), the tires were tested on a non-skid tape (a particular formulation
of sandpaper)-coated treadmill, not on actual asphalt or dirt, which would have a commensurately
lower coecient of friction. Hence, as with most test bench characterization data, it is useful for relative
comparison, while various scaling methods can be employed to adjust to an appropriate friction level
if desired.
In addition to the four knobby tire curves, whose camber stinesses also increased with width
(Figure 6b), the upper right plot of normalized lateral force due to camber also included a reference
line representing the so-called tangent rule, at which point the net ground reaction force, without slip,
is in the plane of the wheel [7], as shown by
Fy
N=tan(ϕ), (6)
where Fyis the lateral force, Nthe normal load on the tire, and ϕthe camber angle.
Any tire below this line, such as the 29
×
2.3” knobby, must make up the dierence via a positive
sideslip angle (into the turn). The other three tires would need negative sideslip angles (slipping to
the outside of the turn) for equilibrium. Depending on the tire pairing, front versus rear, this may
influence the vehicle’s understeer/oversteer ratio.
The lower left plot (Figure 6c) shows the normalized self-aligning moment, which acts to align
the wheel with its velocity vector, that is, diminish the tire’s slip angle. In various physical tire
models, this torque can be thought of as the product of the lateral force and pneumatic trail, where the
pneumatic trail is the result of an oset in the shear stress distribution toward the rear of the contact
patch. An approximation of the tire pneumatic trail is shown in Figure 7, obtained by dividing the
aligning moment by the lateral force due to slip, and ignoring the point at zero slip for which no lateral
force exists. The shape of the pneumatic trail curve is sometimes fit with a cosine function in some
versions of Pacejka’s Magic Formula. As can been seen, the tire with the longest contact patch, in this
case the
26 ×4”
, does not necessarily have the largest value of pneumatic trail near zero-slip, however,
the other tires did follow that trend. It is possible that impending curvature of the
26 ×4”
self-aligning
moment was not captured due the limited slip angle measurement range for that tire. In this case,
the tires with a wider contact patch with respect to their length had a pneumatic trail that decayed
more slowly.
The lower right plot in Figure 6d shows normalized tire twisting torque versus camber. This
torque was due to fore aft shear stress distribution across the contact patch width driven by the toroidal
tire shape and acted to steer the wheel into the corner in the direction of lean. Here, the 26
×
4” fat bike
tire still dominated, followed by the 27.5
×
2.8” plus tire, whereas at low camber angles the
29 ×2.3”
tire trumped the 29
×
3”. It is interesting to note that at higher camber angles (or lower inflation
pressures, shown later), the 29
×
3” plus tire’s twisting torque increased to a level just beyond that
of the 27.5
×
2.8”. It was hypothesized that as the wider-spaced shoulder knobs of the 29
×
3” tire
encounter ground, they eectively increase the width of the patch thus augmenting the twisting torque.
The high twisting torque of the 26
×
4” fat bike tires seemed to corroborate the anecdotal depictions of
heavy feeling, “autosteer” on many fat bikes as they were leaned into a corner, which requires the rider
to counteract an increase in steering angle with significant steering eort.
Appl. Sci. 2020,10, 3156 12 of 22
Figure 7. Calculated pneumatic trail for 29 ×2.3”, 27.5 ×2.8”, 29 ×3”, and 26 ×4” knobby tires.
3.1.4. Static Lateral and Radial Stiness
Although the static lateral and radial stiness test was fairly straightforward and did not take into
account any stiening of the carcass due to centrifugal eects of the tire mass being accelerated radially
as the wheel spins, these are still very useful parameters for understanding and modelling bicycle
out of plane stability, in the case of lateral stiness, and in-plane compliance, in the case of radial
stiness. Here, it seemed that for the given rim width and “nominal” inflation pressure selected for
each size, the lateral stiness, shown in Figure 8a, increased with tire (and/or rim) width and the radial
stiness, shown in Figure 8b for all four configurations, happened to converge around 60,000 N/m.
The maximum value of the vertical axis on these plots was set to roughly the lower bound of stinesses
for motorcycle tires [
7
]. Hence, bicycle tires at the inflation pressures shown were significantly less sti
than motorcycle tires.
Appl. Sci. 2020, 10, 3156 12 of 22
The lower right plot in Figure 6d shows normalized tire twisting torque versus camber. This
torque was due to fore aft shear stress distribution across the contact patch width driven by the
toroidal tire shape and acted to steer the wheel into the corner in the direction of lean. Here, the 26 ×
4 fat bike tire still dominated, followed by the 27.5 × 2.8” plus tire, whereas at low camber angles the
29 × 2.3” tire trumped the 29 × 3”. It is interesting to note that at higher camber angles (or lower
inflation pressures, shown later), the 29 × 3” plus tire’s twisting torque increased to a level just beyond
that of the 27.5 × 2.8. It was hypothesized that as the wider-spaced shoulder knobs of the 29 × 3” tire
encounter ground, they effectively increase the width of the patch thus augmenting the twisting
torque. The high twisting torque of the 26 × 4” fat bike tires seemed to corroborate the anecdotal
depictions of heavy feeling, “autosteer” on many fat bikes as they were leaned into a corner, which
requires the rider to counteract an increase in steering angle with significant steering effort.
3.1.4. Static Lateral and Radial Stiffness
Although the static lateral and radial stiffness test was fairly straightforward and did not take
into account any stiffening of the carcass due to centrifugal effects of the tire mass being accelerated
radially as the wheel spins, these are still very useful parameters for understanding and modelling
bicycle out of plane stability, in the case of lateral stiffness, and in-plane compliance, in the case of
radial stiffness. Here, it seemed that for the given rim width and “nominal inflation pressure selected
for each size, the lateral stiffness, shown in Figure 8a, increased with tire (and/or rim) width and the
radial stiffness, shown in Figure 8b for all four configurations, happened to converge around 60,000
N/m. The maximum value of the vertical axis on these plots was set to roughly the lower bound of
stiffnesses for motorcycle tires [7]. Hence, bicycle tires at the inflation pressures shown were
significantly less stiff than motorcycle tires.
(a) (b)
Figure 8. (a) Static lateral and (b) radial stiffness of 29 × 2.3, 27.5 × 2.8”, 29 × 3”, and 26 × 4” knobby
bicycle tires.
3.2. Effect of Tread Knobs
In order to examine the effect of tread knobs, this study investigated two levels of resolution.
First, a less treaded tire with similar cross-sectional profile and undeformed, inflated outer radius
was measured for comparison to the 29 × 2.3” knobby tire. Although this tire appeared much
smoother than the knobby, it did indeed possess a “file-tread” pattern consisting of many small,
pyramidal, and closely spaced knobs (each roughly 1.5 mm wide at their base and equally tall at their
peak). The lesser knob height required a slightly larger tire size of 29 × 2.5” to achieve a similar outer
diameter, as evident in the tire cross-sectional profiles.
After characterization of both the knobby baseline and file-tread tires, the second level of
resolution involved sanding off the tread of both tires and re-characterizing what are referred to
herein as the “bald variants, as shown in Figure 9. In this case, the knobby tire became something
like a trueslick” per Figure 9a, whereas the negative grooves of the file-tread in the Figure 9b tire
remained. The various colors that appeared in the bald 29 × 2.3” where the knobs previously existed
Figure 8. (a) Static lateral and (b) radial stiness of 29 ×2.3”, 27.5 ×2.8”, 29 ×3”, and 26 ×4” knobby
bicycle tires.
3.2. Eect of Tread Knobs
In order to examine the eect of tread knobs, this study investigated two levels of resolution.
First, a less treaded tire with similar cross-sectional profile and undeformed, inflated outer radius was
measured for comparison to the 29
×
2.3” knobby tire. Although this tire appeared much smoother
than the knobby, it did indeed possess a “file-tread” pattern consisting of many small, pyramidal,
and closely spaced knobs (each roughly 1.5 mm wide at their base and equally tall at their peak).
Appl. Sci. 2020,10, 3156 13 of 22
The lesser knob height required a slightly larger tire size of 29
×
2.5” to achieve a similar outer diameter,
as evident in the tire cross-sectional profiles.
After characterization of both the knobby baseline and file-tread tires, the second level of resolution
involved sanding othe tread of both tires and re-characterizing what are referred to herein as the
“bald” variants, as shown in Figure 9. In this case, the knobby tire became something like a true “slick”
per Figure 9a, whereas the negative grooves of the file-tread in the Figure 9b tire remained. The various
colors that appeared in the bald 29
×
2.3” where the knobs previously existed suggested dierent
compounds used to form the carcass and the knobs. The results are presented in the same format as
the previous section.
Appl. Sci. 2020, 10, 3156 13 of 22
suggested different compounds used to form the carcass and the knobs. The results are presented in
the same format as the previous section.
(a) (b)
Figure 9. Images of (a) original treaded 29 × 2.3” knobby and its bald tire counterpart and (b) the 29 ×
2.5” file-tread tire with its bald tire counterpart.
3.2.1. Cross-Sectional Profiles
Figure 10 again shows the cross-sectional profile of the baseline 29 × 2.3” knobby tire, this time
with the 29 × 2.3 “bald variant overlaid. As captured by the measurement, all tread knobs were
completely removed, and this was done around the tire’s entire circumference. Similarly, the 29 ×
2.5 file-tread and 29 × 2.5” bald tire are shown in the overlay. Here, the removal of the more tightly
spaced and shorter height knobs resulted in a more subtle, annular reduction in the treaded portion
of the tire cross section.
Figure 10. Cross sectional profiles of 29 × 2.3” knobby tire (solid) overlaid with its bald variant
(dashed), on the left, and 29 × 2.5” file-tread tire (solid) overlaid with its bald variant (dashed), on the
right.
3.2.2. Footprints
Figure 11 shows tire footprints for the 29 × 2.3 baseline knobby tire and bald variant, as well as
the 29 × 2.5” file-tread and bald variant, all on 25 mm width rims at 25 psi (1.7 bar). The small, closely
spaced file-tread knobs, as well as the negative tread grooves on the 29 × 2.5”, can be seen. The file-
tread was effectively removed from the 29 × 2.5” bald variant, but the negative grooves remained.
The 29 × 2.3” bald tire was essentially a slick.
Figure 9.
Images of (
a
) original treaded 29
×
2.3” knobby and its bald tire counterpart and (
b
) the
29 ×2.5” file-tread tire with its bald tire counterpart.
3.2.1. Cross-Sectional Profiles
Figure 10 again shows the cross-sectional profile of the baseline 29
×
2.3” knobby tire, this time
with the 29
×
2.3” “bald” variant overlaid. As captured by the measurement, all tread knobs were
completely removed, and this was done around the tire’s entire circumference. Similarly, the 29
×
2.5”
file-tread and 29
×
2.5” bald tire are shown in the overlay. Here, the removal of the more tightly spaced
and shorter height knobs resulted in a more subtle, annular reduction in the treaded portion of the tire
cross section.
Appl. Sci. 2020, 10, 3156 13 of 22
suggested different compounds used to form the carcass and the knobs. The results are presented in
the same format as the previous section.
(a) (b)
Figure 9. Images of (a) original treaded 29 × 2.3” knobby and its bald tire counterpart and (b) the 29 ×
2.5” file-tread tire with its bald tire counterpart.
3.2.1. Cross-Sectional Profiles
Figure 10 again shows the cross-sectional profile of the baseline 29 × 2.3” knobby tire, this time
with the 29 × 2.3 “bald variant overlaid. As captured by the measurement, all tread knobs were
completely removed, and this was done around the tire’s entire circumference. Similarly, the 29 ×
2.5 file-tread and 29 × 2.5” bald tire are shown in the overlay. Here, the removal of the more tightly
spaced and shorter height knobs resulted in a more subtle, annular reduction in the treaded portion
of the tire cross section.
Figure 10. Cross sectional profiles of 29 × 2.3” knobby tire (solid) overlaid with its bald variant
(dashed), on the left, and 29 × 2.5” file-tread tire (solid) overlaid with its bald variant (dashed), on the
right.
3.2.2. Footprints
Figure 11 shows tire footprints for the 29 × 2.3 baseline knobby tire and bald variant, as well as
the 29 × 2.5” file-tread and bald variant, all on 25 mm width rims at 25 psi (1.7 bar). The small, closely
spaced file-tread knobs, as well as the negative tread grooves on the 29 × 2.5”, can be seen. The file-
tread was effectively removed from the 29 × 2.5” bald variant, but the negative grooves remained.
The 29 × 2.3” bald tire was essentially a slick.
Figure 10.
Cross sectional profiles of 29
×
2.3” knobby tire (solid) overlaid with its bald variant (dashed),
on the left, and 29 ×2.5” file-tread tire (solid) overlaid with its bald variant (dashed), on the right.
3.2.2. Footprints
Figure 11 shows tire footprints for the 29
×
2.3” baseline knobby tire and bald variant, as well
as the 29
×
2.5” file-tread and bald variant, all on 25 mm width rims at 25 psi (1.7 bar). The small,
Appl. Sci. 2020,10, 3156 14 of 22
closely spaced file-tread knobs, as well as the negative tread grooves on the 29
×
2.5”, can be seen.
The file-tread was eectively removed from the 29
×
2.5” bald variant, but the negative grooves
remained. The 29 ×2.3” bald tire was essentially a slick.
Appl. Sci. 2020, 10, 3156 14 of 22
Figure 11. Footprints for 29 × 2.3” knobby, 29 × 2.3” bald, 29 × 2.5” file-tread, and 29 × 2.5” bald tires
at 25 psi (1.7 bar) on 25 mm inner width rim.
The 29 × 2.3” bald contact patch was both shorter and narrower than that of the 29 × 2.3” knobby
tire, whereas the 29 × 2.5” bald contact patch was longer but narrower than that of the 29 × 2.5” file-
tread tire. It is interesting to note that, despite having a smaller outer radius than the 29 × 2.5” tires,
the 29 × 2.3” knobby tire yielded the widest and longest contact patch of these four variants.
The relatively high (66.4%) void ratio of the 29 × 2.5 file-tread might seem surprising, as this
tire was chosen as a less-treaded comparison to the 29 × 2.3 knobby (78.1%). Even after removing
the file-tread pattern, the remaining negative tread grooves yielded an appreciable (19.6%) void ratio
for the 29 × 2.5” bald tire, as opposed to the nearly slick (2.2%) void ratio of its 29 × 2.3” bald
counterpart.
3.2.3. Forces and Moments
Various trends are evident in the fitted force and moment plots depicted in Figure 12. The upper
left plot of normalized lateral force versus sideslip (Figure 12a) shows an increase in cornering
stiffness as the tires became less treaded. There was a large increase in slope from the 29 × 2.3 knobby
to the 29 × 2.3 bald tire, whereas the 29 × 2.5” file-tread to bald modification showed an increase but
of less magnitude.
The same pattern was repeated in the other three plots. Removing the knobs had a big effect and
removing the file-tread had a small effect, both trending in similar directions. Overall, the slick tire
was the stiffest, and the knobby tire was the least stiff. As noted previously, the shape of the curve
beyond the recorded data, indicated by the dashed lines, was an extrapolation based on the fit
coefficients. Thus, the curvature of some of the more limited datasets may have been exaggerated.
Figure 11. Footprints for 29 ×2.3” knobby, 29 ×2.3” bald, 29 ×2.5” file-tread, and 29 ×2.5” bald tires
at 25 psi (1.7 bar) on 25 mm inner width rim.
The 29
×
2.3” bald contact patch was both shorter and narrower than that of the 29
×
2.3” knobby
tire, whereas the 29
×
2.5” bald contact patch was longer but narrower than that of the 29
×
2.5”
file-tread tire. It is interesting to note that, despite having a smaller outer radius than the 29
×
2.5” tires,
the 29 ×2.3” knobby tire yielded the widest and longest contact patch of these four variants.
The relatively high (66.4%) void ratio of the 29
×
2.5” file-tread might seem surprising, as this tire
was chosen as a less-treaded comparison to the 29
×
2.3” knobby (78.1%). Even after removing the
file-tread pattern, the remaining negative tread grooves yielded an appreciable (19.6%) void ratio for
the 29
×
2.5” bald tire, as opposed to the nearly slick (2.2%) void ratio of its 29
×
2.3” bald counterpart.
3.2.3. Forces and Moments
Various trends are evident in the fitted force and moment plots depicted in Figure 12. The upper
left plot of normalized lateral force versus sideslip (Figure 12a) shows an increase in cornering stiness
as the tires became less treaded. There was a large increase in slope from the 29
×
2.3” knobby to the
29
×
2.3” bald tire, whereas the 29
×
2.5” file-tread to bald modification showed an increase but of
less magnitude.
The same pattern was repeated in the other three plots. Removing the knobs had a big eect and
removing the file-tread had a small eect, both trending in similar directions. Overall, the slick tire was
the stiest, and the knobby tire was the least sti. As noted previously, the shape of the curve beyond
the recorded data, indicated by the dashed lines, was an extrapolation based on the fit coecients.
Thus, the curvature of some of the more limited datasets may have been exaggerated.
Appl. Sci. 2020,10, 3156 15 of 22
Appl. Sci. 2020, 10, 3156 15 of 22
(a) (b)
(c) (d)
Figure 12. Force and moment fitted curves for 29 × 2.3” knobby, 29 × 2.3” bald, 29 × 2.5” file-tread,
and 29 × 2.5” bald tires at 25 psi (1.7 bar) on 25 mm inner width rim with a) normalized lateral force
vs. slip angle, b) normalized lateral force vs. camber angle, c) normalized self-aligning moment vs.
slip angle and d) normalized twisting torque vs. camber angle.
3.2.4. Static Lateral Stiffness
To understand the contribution of tire tread knobs to total (treaded) tire lateral stiffness, knob
shear stiffness, and bald carcass lateral stiffness were measured separately and then combined, in the
manner of springs in series, as in Equation (7), to compare against the measured lateral stiffness of
the knobby tire.

=

+
, (7)
As illustrated in Figure 13, the shear stiffness of the tread knobs was measured by isolating an
integral number of knobs (six shown) of an unmounted tire between matching aluminum plates.
Vertical load was applied directly from the bare rim to the top aluminum plate. Then, the rim was
pulled laterally while two cap screw heads prevented it from sliding relative to the upper plate. The
applied lateral force and resulting lateral deflection of the rim were recorded simultaneously. The
measured tread lateral stiffness was then divided by the number of knobs present between the plates
to yield an approximate individual knob stiffness.
Figure 12.
Force and moment fitted curves for 29
×
2.3” knobby, 29
×
2.3” bald, 29
×
2.5” file-tread,
and 29
×
2.5” bald tires at 25 psi (1.7 bar) on 25 mm inner width rim with (
a
) normalized lateral force vs.
slip angle, (
b
) normalized lateral force vs. camber angle, (
c
) normalized self-aligning moment vs. slip
angle and (d) normalized twisting torque vs. camber angle.
3.2.4. Static Lateral Stiness
To understand the contribution of tire tread knobs to total (treaded) tire lateral stiness, knob
shear stiness, and bald carcass lateral stiness were measured separately and then combined, in the
manner of springs in series, as in Equation (7), to compare against the measured lateral stiness of the
knobby tire.
1
Ktotal tire
=1
Kbald carcass
+1
Ktread
, (7)
As illustrated in Figure 13, the shear stiness of the tread knobs was measured by isolating an
integral number of knobs (six shown) of an unmounted tire between matching aluminum plates.
Vertical load was applied directly from the bare rim to the top aluminum plate. Then, the rim was
pulled laterally while two cap screw heads prevented it from sliding relative to the upper plate.
The applied lateral force and resulting lateral deflection of the rim were recorded simultaneously.
The measured tread lateral stiness was then divided by the number of knobs present between the
plates to yield an approximate individual knob stiness.
Appl. Sci. 2020,10, 3156 16 of 22
Appl. Sci. 2020, 10, 3156 16 of 22
Figure 13. Schematic illustrating non-destructive measurement of lateral shear stiffness of tire tread
knobs via loads applied to unmounted tire squeezed between appropriately sized aluminum plates.
Finally, per Equation (8), the tread shear stiffness was calculated as springs in parallel by
multiplying the individual knob stiffness by the number of knobs evident in the tire’s footprint.
 =
 ∗
, (8)
These respective stiffness values and the comparison of measured versus calculated total tire
stiffness are shown for the 29 × 2.3” knobby tire in Figure 14.
Figure 14. Bar chart of knob, tread, bald carcass, measured, and calculated total tire stiffness for 29 ×
2.3” knobby tire comparing relative stiffness magnitudes at 25 psi (1.7 bar).
As can be seen, the approximate total tire stiffness matched well (within 8%) with the measured
lateral stiffness of the inflated knobby tire. Possible sources of variation included difficulty in
determining exactly how many knobs, or fractions thereof, were included in the contact patch. This
approach also assumed equal stiffness contribution from various knob typologies and ignored
possible variation in load distribution across the patch. A similar investigation was not repeated for
the file-tread pattern because of the impracticality of counting and measuring the stiffness of an
integral number of the file-tread knobs.
Figure 13.
Schematic illustrating non-destructive measurement of lateral shear stiness of tire tread
knobs via loads applied to unmounted tire squeezed between appropriately sized aluminum plates.
Finally, per Equation (8), the tread shear stiness was calculated as springs in parallel by
multiplying the individual knob stiness by the number of knobs evident in the tire’s footprint.
Ktread =nknobs kknob, (8)
These respective stiness values and the comparison of measured versus calculated total tire
stiness are shown for the 29 ×2.3” knobby tire in Figure 14.
Appl. Sci. 2020, 10, 3156 16 of 22
Figure 13. Schematic illustrating non-destructive measurement of lateral shear stiffness of tire tread
knobs via loads applied to unmounted tire squeezed between appropriately sized aluminum plates.
Finally, per Equation (8), the tread shear stiffness was calculated as springs in parallel by
multiplying the individual knob stiffness by the number of knobs evident in the tire’s footprint.
 =
 ∗
, (8)
These respective stiffness values and the comparison of measured versus calculated total tire
stiffness are shown for the 29 × 2.3” knobby tire in Figure 14.
Figure 14. Bar chart of knob, tread, bald carcass, measured, and calculated total tire stiffness for 29 ×
2.3” knobby tire comparing relative stiffness magnitudes at 25 psi (1.7 bar).
As can be seen, the approximate total tire stiffness matched well (within 8%) with the measured
lateral stiffness of the inflated knobby tire. Possible sources of variation included difficulty in
determining exactly how many knobs, or fractions thereof, were included in the contact patch. This
approach also assumed equal stiffness contribution from various knob typologies and ignored
possible variation in load distribution across the patch. A similar investigation was not repeated for
the file-tread pattern because of the impracticality of counting and measuring the stiffness of an
integral number of the file-tread knobs.
Figure 14.
Bar chart of knob, tread, bald carcass, measured, and calculated total tire stiness for
29 ×2.3” knobby tire comparing relative stiness magnitudes at 25 psi (1.7 bar).
As can be seen, the approximate total tire stiness matched well (within 8%) with the measured
lateral stiness of the inflated knobby tire. Possible sources of variation included diculty in
determining exactly how many knobs, or fractions thereof, were included in the contact patch.
This approach also assumed equal stiness contribution from various knob typologies and ignored
possible variation in load distribution across the patch. A similar investigation was not repeated for the
Appl. Sci. 2020,10, 3156 17 of 22
file-tread pattern because of the impracticality of counting and measuring the stiness of an integral
number of the file-tread knobs.
3.3. Eect of Inflation Pressures and Rim Width
Tire inflation pressure is an important setup and tuning parameter for mountain bike applications.
A happy compromise between traction, durability, protection for the rim, handling, and ride
characteristics often depends on rider weight, bike fitment, terrain, even surface, or soil consistency,
and of course, rider preference. Potentially for this reason, bicycle manufacturers, unlike automotive
or motorcycle companies, rarely specify a specific recommended operating inflation pressure for each
vehicle model and leave it to the end-user to experiment within the bounds typically designated on the
tire sidewall. Thus, to better explore the potential operating range of various tires mentioned thus far
in this study, additional measurements were taken at various inflation pressures. These results are
reported in a format much like the previous sections.
3.3.1. Footprints
Figures 15 and 16 illustrate the eect of varying inflation pressure on the tire footprints for the
29 ×2.3”
knobby tire on 25 mm rim. The images show that as inflation pressure increased from left to
right, the contact patch length and width became smaller and thus contact patch area was reduced.
Interestingly, for the 29
×
2.3” knobby tire at 10 psi, in the leftmost plot, the tire deformed enough for
the shoulder knobs to contact the ground (even at zero camber), and thus the shape of the patch became
significantly wider. As inflation pressure increased, fewer and fewer individual knobs remained in the
contact patch.
Appl. Sci. 2020, 10, 3156 17 of 22
3.3. Effect of Inflation Pressures and Rim Width
Tire inflation pressure is an important setup and tuning parameter for mountain bike
applications. A happy compromise between traction, durability, protection for the rim, handling, and
ride characteristics often depends on rider weight, bike fitment, terrain, even surface, or soil
consistency, and of course, rider preference. Potentially for this reason, bicycle manufacturers, unlike
automotive or motorcycle companies, rarely specify a specific recommended operating inflation
pressure for each vehicle model and leave it to the end-user to experiment within the bounds typically
designated on the tire sidewall. Thus, to better explore the potential operating range of various tires
mentioned thus far in this study, additional measurements were taken at various inflation pressures.
These results are reported in a format much like the previous sections.
3.3.1. Footprints
Figures 15 and 16 illustrate the effect of varying inflation pressure on the tire footprints for the
29 × 2.3 knobby tire on 25 mm rim. The images show that as inflation pressure increased from left to
right, the contact patch length and width became smaller and thus contact patch area was reduced.
Interestingly, for the 29 × 2.3 knobby tire at 10 psi, in the leftmost plot, the tire deformed enough for
the shoulder knobs to contact the ground (even at zero camber), and thus the shape of the patch
became significantly wider. As inflation pressure increased, fewer and fewer individual knobs
remained in the contact patch.
Figure 15. Footprints for 29 × 2.3” knobby tire at inflation pressures of 10, 20, 30, 40, and 50 psi (0.7,
1.4, 2.1, 2.8, and 3.4 bar) from left to right on 25 mm inner width rim.
Figure 16 shows contact patch characteristics as functions of inflation pressure. The 29 × 2.3”
knobby, 29 × 2.3” bald, 29 × 2.5 file-tread, and 29 × 2.5” bald tires were measured at eight pressure
increments. This gave added resolution to various trends. The other three knobby tires in 27.5 × 2.8,
29 × 3, and 26 × 4” are also shown, but with inflation pressure at just two levels, 10 psi (potential use
case for lightweight riders or usage on soft or loose terrain), and the “nominal pressure considered
in previous sections. Finally, two additional datapoints of the 29 × 2.3 knobby and 29 × 2.5 file-tread
tire on slightly narrower, 22 mm internal rim widths are shown to begin to explore those effects.
The upper left plot (Figure 16a) suggests the ranking of tires in terms of contact patch area varied
somewhat with inflation pressure, but in general the contact patch area decreased in a seemingly
nonlinear fashion with increasing inflation pressure. Here, the 26x4 fat bike tire remained near the
largest, whereas the 29 × 2.3” knobby surpassed the plus tires between 10 and 20 psi. The contact
patch area of the less-treaded tires in the form of the 29 × 2.5” file-tread on the 25 mm rim, 29 × 2.3”
Figure 15.
Footprints for 29
×
2.3” knobby tire at inflation pressures of 10, 20, 30, 40, and 50 psi (0.7, 1.4,
2.1, 2.8, and 3.4 bar) from left to right on 25 mm inner width rim.
Figure 16 shows contact patch characteristics as functions of inflation pressure. The 29
×
2.3”
knobby, 29
×
2.3” bald, 29
×
2.5” file-tread, and 29
×
2.5” bald tires were measured at eight pressure
increments. This gave added resolution to various trends. The other three knobby tires in 27.5
×
2.8”,
29
×
3”, and 26
×
4” are also shown, but with inflation pressure at just two levels, 10 psi (potential use
case for lightweight riders or usage on soft or loose terrain), and the “nominal” pressure considered in
previous sections. Finally, two additional datapoints of the 29
×
2.3” knobby and 29
×
2.5” file-tread
tire on slightly narrower, 22 mm internal rim widths are shown to begin to explore those eects.
Appl. Sci. 2020,10, 3156 18 of 22
Appl. Sci. 2020, 10, 3156 18 of 22
bald, and 29 × 2.5 bald tire seemed slightly more sensitive in the lower pressure regime (from 10 to
15 psi), whereas as pressure was increased (beyond 20 psi), the curvature stabilized. The 29 × 2.3
knobby on 22 mm rim and 29 × 2.5 file-tread tire on 22 mm rims showed a small decrement in contact
patch area with respect to their 25 mm rim variants.
The upper right plot (Figure 16b) depicts how the tread void ratio within the contact patch area
varied between tires and with inflation pressure. It is quite clear that the knobby tires had higher void
ratios than the 29 × 2.5 file-tread on 25 mm rim at all but the lowest inflation pressure. The 26 × 4”
fat bike tire and 29 × 2.3” knobby tire were both around 80% void ratio at low pressures, which for
the 29 × 2.3” knobby tire on 25 mm rim fell to 74% at 50 psi. Seemingly, scaling the knob size up for
the 27.5 × 2.8” and 29 × 3” plus tires caused a small reduction in their void ratio with respect to the 29
× 2.3” knobby tire on the 25 mm rim. The void ratio of the 29 × 2.5” bald tire, which contained only
the negative grooves, reduced from 20% to 10% with increasing inflation pressure, whereas the nearly
slick 29 × 2.3” bald tire hovered at a void ratio less than 5%.
(a) (b)
(c) (d)
Figure 16. Tire footprint parameters versus inflation pressure for various bicycle tires with a)
contact patch area, b) void ratio, c) contact patch length and d) contact patch width.
The lower two plots show the contact patch length (Figure 16c) and width (Figure 16d) versus
inflation pressure. Here, the length was generally at least twice the width or more. The change in
lengths of most of the tires shown were similar, whereas the 26 × 4 fat and 27.5 × 2.8” plus tires were
slightly shorter than others at the same inflation pressures. The 29 × 2.3” knobby tire retained a
slightly longer contact patch than the 29 × 2.5” file-tread tire or their bald counterparts at inflation
Figure 16.
Tire footprint parameters versus inflation pressure for various bicycle tires with (
a
) contact
patch area, (b) void ratio, (c) contact patch length and (d) contact patch width.
The upper left plot (Figure 16a) suggests the ranking of tires in terms of contact patch area varied
somewhat with inflation pressure, but in general the contact patch area decreased in a seemingly
nonlinear fashion with increasing inflation pressure. Here, the 26x4” fat bike tire remained near the
largest, whereas the 29
×
2.3” knobby surpassed the plus tires between 10 and 20 psi. The contact patch
area of the less-treaded tires in the form of the 29
×
2.5” file-tread on the 25 mm rim, 29
×
2.3” bald,
and 29
×
2.5” bald tire seemed slightly more sensitive in the lower pressure regime (from 10 to 15 psi),
whereas as pressure was increased (beyond 20 psi), the curvature stabilized. The 29
×
2.3” knobby on
22 mm rim and 29
×
2.5” file-tread tire on 22 mm rims showed a small decrement in contact patch area
with respect to their 25 mm rim variants.
The upper right plot (Figure 16b) depicts how the tread void ratio within the contact patch area
varied between tires and with inflation pressure. It is quite clear that the knobby tires had higher void
ratios than the 29
×
2.5” file-tread on 25 mm rim at all but the lowest inflation pressure. The 26
×
4”
fat bike tire and 29
×
2.3” knobby tire were both around 80% void ratio at low pressures, which for
the 29
×
2.3” knobby tire on 25 mm rim fell to 74% at 50 psi. Seemingly, scaling the knob size up for
the 27.5
×
2.8” and 29
×
3” plus tires caused a small reduction in their void ratio with respect to the
29 ×2.3”
knobby tire on the 25 mm rim. The void ratio of the 29
×
2.5” bald tire, which contained only
Appl. Sci. 2020,10, 3156 19 of 22
the negative grooves, reduced from 20% to 10% with increasing inflation pressure, whereas the nearly
slick 29 ×2.3” bald tire hovered at a void ratio less than 5%.
The lower two plots show the contact patch length (Figure 16c) and width (Figure 16d) versus
inflation pressure. Here, the length was generally at least twice the width or more. The change in
lengths of most of the tires shown were similar, whereas the 26
×
4” fat and 27.5
×
2.8” plus tires were
slightly shorter than others at the same inflation pressures. The 29
×
2.3” knobby tire retained a slightly
longer contact patch than the 29
×
2.5” file-tread tire or their bald counterparts at inflation pressures
above 25 psi (1.7 bar). Finally, in terms of width, there was a clear grouping between the wider contact
patch of the knobby tires and the less-wide patch of the file-tread and bald variants.
3.3.2. Forces and Moments
Figure 17 shows the stiness coecients for slip and camber forces as well as self-aligning and
twisting torques versus inflation pressure.
Appl. Sci. 2020, 10, 3156 19 of 22
pressures above 25 psi (1.7 bar). Finally, in terms of width, there was a clear grouping between the
wider contact patch of the knobby tires and the less-wide patch of the file-tread and bald variants.
3.3.2. Forces and Moments
Figure 17 shows the stiffness coefficients for slip and camber forces as well as self-aligning and
twisting torques versus inflation pressure.
(a) (b)
(c) (d)
Figure 17. Force and moment fitted stiffness coefficients versus inflation pressure for various bicycle
tires with (a) cornering stiffness, (b) camber stiffness, (c) self-aligning stiffness and (d) twisting torque
coefficients.
The upper left plot (Figure 17a) displays various trends in cornering stiffness coefficient. First,
large differences were apparent between the different tire sizes bounded on the upper end by the 26
× 4 fat bike and 29 × 2.3 bald tires, with upper values in excess of 20 1/rad, and on the lower end by
the 29 × 2.3” knobby tire, on either rim width, at around 10 1/rad. Aside from the 26 × 4 fat tire, the
less-treaded tires had higher cornering stiffness above 20 psi (1.4 bar). Additionally, above this
pressure, the cornering stiffness of the tires shown seemed to vary little with further increase in
inflation pressure. Below this pressure, there were some nonlinear and disparate behaviors where
cornering stiffness of the 29 × 2.5 file-tread increased rapidly with inflation pressure whereas that of
the 29 × 2.3” knobby tire decreased gradually. Across the limited pressures measured, the 27.5 × 2.8”
plus tire exhibited a different sensitivity (slope) than the other knobby tires.
Figure 17.
Force and moment fitted stiness coecients versus inflation pressure for various bicycle
tires with (
a
) cornering stiness, (
b
) camber stiness, (
c
) self-aligning stiness and (
d
) twisting
torque coecients.
The upper left plot (Figure 17a) displays various trends in cornering stiness coecient. First,
large dierences were apparent between the dierent tire sizes bounded on the upper end by the
Appl. Sci. 2020,10, 3156 20 of 22
26
×
4” fat bike and 29
×
2.3” bald tires, with upper values in excess of 20 1/rad, and on the lower
end by the 29
×
2.3” knobby tire, on either rim width, at around 10 1/rad. Aside from the 26
×
4” fat
tire, the less-treaded tires had higher cornering stiness above 20 psi (1.4 bar). Additionally, above
this pressure, the cornering stiness of the tires shown seemed to vary little with further increase in
inflation pressure. Below this pressure, there were some nonlinear and disparate behaviors where
cornering stiness of the 29
×
2.5” file-tread increased rapidly with inflation pressure whereas that of
the 29
×
2.3” knobby tire decreased gradually. Across the limited pressures measured, the 27.5
×
2.8”
plus tire exhibited a dierent sensitivity (slope) than the other knobby tires.
The plot of normalized camber stiness, shown in the upper right (Figure 17b) showed similar
overall groupings. The less-treaded variants exhibited higher camber stiness coecients, with a
decreasing trend as inflation pressure increased, and the 29
×
2.3” bald tire topped the chart. Camber
stiness of the knobby tires fell omore quickly from 10 to 25 psi, whereas the 29
×
2.3” knobby tire on
a 25 mm rim eventually achieved a slope similar to its less-treaded counterparts, albeit at a lower value
(below 1.0 1/rad). Rim width had minimal eect.
In the lower left plot (Figure 17c), the sign convention for the aligning torque should be kept in
mind. Its value was negative because it acted to reduce the tire slip angle, and thus a larger stiness
magnitude resulted in a more negative value. Again, there was a grouping. Except for the
26 ×4”
fat
bike tire at 10 psi, the less treaded tires exhibited more self-aligning stiness, with increased inflation
pressure, albeit with diminishing magnitude. The 29
×
2.3” and 27.5
×
2.8” knobby tires grouped fairly
close together with the lowest magnitudes of self-aligning stiness. It should be noted that although the
units of normalized self-aligning stiness were in meters, this value was dierent from the pneumatic
trail. As described earlier, the pneumatic trail can be derived by dividing the tire self-aligning moment
by the lateral force due to slip (at zero camber).
Normalized twisting torque stiness, shown in the lower right plot (Figure 17d), showed a fairly
rapid decrease with increasing inflation pressure up to about 30 psi (2.1 bar) for the measured tires.
On the basis of the higher twisting torque stiness magnitudes of the 29
×
2.3” bald and 26
×
4” tires,
one would expect them to generate the most steering torque at low inflation pressures. For the 26
×
4”,
this was likely related to the dierence in peripheral velocity across such a wide patch, and for the
29 ×2.3”
bald tire it may have been related to the relatively small toroid radius and steep shoulder
drop. Again, a minor change in rim width had minimal eect. Presumably, the steep slope of the
27.5
×
2.8” and 29
×
3” plus tires between 10 and 15 psi may have been related to the widely spaced
shoulder knobs contacting at lower lean angles on the less inflated, softer, and more deformed tire.
3.3.3. Static Lateral Stiness
Section 3.2.4 described modelling the tire static lateral stiness as multiple individual knobs acting
as springs in parallel that constituted the tread stiness. The tread stiness then combined with the
bald carcass stiness as springs in a series to yield the total lateral stiness of the treaded tire. Now,
in Figure 18, that simplified model is applied across a range of inflation pressures, yielding results
comparable to the measured value of the 29
×
2.3” knobby tire. The figure shows the individual knob
stiness as derived from the tread shear measurement multiplied by the number of knobs in contact.
On the basis of the footprints shown in Figure 15, “n”, the number of knobs in contact, plotted here on
the secondary axis, decreased with inflation pressure. Hence, the product of those terms yielded the
theoretical tread stiness, which also decreased with inflation pressure. It is interesting to note that the
individual knobs did not change in stiness, but the fact that fewer of them were in contact reduced
the eective tread stiness. Meanwhile, the as-measured bald carcass stiness was shown to increase
with inflation pressure. Combining these two as springs in series resulted in a theoretical total tire
lateral stiness within 15% of the measured values across the range of inflation pressures.
Appl. Sci. 2020,10, 3156 21 of 22
Appl. Sci. 2020, 10, 3156 21 of 22
Figure 18. Knob, tread, bald carcass, measured, and calculated total tire stiffness, and knob count for
29 × 2.3” knobby tire comparing stiffness magnitudes across inflation pressures.
4. Conclusions
Characterization of four modern mountain bike tire sizes was carried out on appropriate rim
widths at what were considered realistic nominal inflation pressures. Tire cross sections were
compared, and tire radii and width values reported. Tire footprints at zero camber angle and realistic
normal load were fit as ellipses and their area, geometry, void ratios, and tread patterns were
discussed. Force and moment measurements were conducted using the measuring device at the
University of WisconsinMilwaukee. A combination of Pacejka’s Motorcycle Magic Tire Model and
FastBike twisting torque polynomial were fitted to the data to yield parametric tire model coefficients.
These fitted curves were then used to compare lateral force due to slip and camber, as well as self-
aligning moment and twisting torque. Good resolution of the linear portion of the respective stiffness
curves were obtained, whereas tire versus treadmill width limited identification of curvature and
peak friction values to some extent. Static lateral and radial carcass stiffnesses were shown. The
compilation of these results suggests appreciable differences in tire performance among 29 × 2.3,
27.5 × 2.8”, 29 × 3”, and 26 × 4 knobby tires.
Additional characterization was carried out to quantify the effects of tire tread knobs. A 29 × 2.3”
knobby tire was compared to a file-tread tire of similar size. The treads were then removed from both
tires, and characterization of the resultant bald tires further informed this comparison. It was shown
that file-tread and a tread pattern with negative grooves had appreciable void ratios and performance
trade-offs that were different from a truly bald, slick tire. It was also shown that for the 29 × 2.3”
knobby mountain bike tire studied, the combination of tire tread shear stiffness, obtained by
combining individual knobs as springs in parallel, with the inflated bald tire carcass as springs in
series, yielded a lateral stiffness value similar to that measured for the total treaded tire.
Finally, the aforementioned footprint, force and moment, and static carcass lateral stiffness
parameters for each tire were compared across a range of inflation pressures. Results suggest some
differences between knobby and less-treaded tires, especially at higher inflation pressures. Inflation
pressure influenced the number of knobs interacting with ground as the toroidal tires deformed.
Incorporating this observation into the approximation of tire lateral stiffness as a combination of tread
shear stiffness and carcass lateral stiffness as springs in series seemed promising. A brief comparison
of a 25 mm and 22 mm rim suggested small relative differences for the two tires measured.
Ideally, this work supplements ongoing progress in bicycle modelling and simulation [12].
Parametrization of nonlinear tire properties, as shown here, may aide higher fidelity bicycle and even
mountain bike handling and stability simulations. A further study looking at alternate tire sizes,
specifications, and tread patterns; isolating individual knob typologies; and implementing a wider
Figure 18.
Knob, tread, bald carcass, measured, and calculated total tire stiness, and knob count for
29 ×2.3” knobby tire comparing stiness magnitudes across inflation pressures.
As before, possible sources of the dierence between calculated and measured total stiness
included diculty in determining exactly how many knobs, or fractions thereof, were included in
the contact patch and, for low inflation pressures, the participation of shoulder knobs, whose shear
stiness was not measured.
4. Conclusions
Characterization of four modern mountain bike tire sizes was carried out on appropriate rim
widths at what were considered realistic nominal inflation pressures. Tire cross sections were compared,
and tire radii and width values reported. Tire footprints at zero camber angle and realistic normal
load were fit as ellipses and their area, geometry, void ratios, and tread patterns were discussed.
Force and moment measurements were conducted using the measuring device at the University of
Wisconsin–Milwaukee. A combination of Pacejka’s Motorcycle Magic Tire Model and FastBike twisting
torque polynomial were fitted to the data to yield parametric tire model coecients. These fitted curves
were then used to compare lateral force due to slip and camber, as well as self-aligning moment and
twisting torque. Good resolution of the linear portion of the respective stiness curves were obtained,
whereas tire versus treadmill width limited identification of curvature and peak friction values to
some extent. Static lateral and radial carcass stinesses were shown. The compilation of these results
suggests appreciable dierences in tire performance among 29
×
2.3”, 27.5
×
2.8”, 29
×
3”, and 26
×
4”
knobby tires.
Additional characterization was carried out to quantify the eects of tire tread knobs. A 29
×
2.3”
knobby tire was compared to a file-tread tire of similar size. The treads were then removed from both
tires, and characterization of the resultant bald tires further informed this comparison. It was shown
that file-tread and a tread pattern with negative grooves had appreciable void ratios and performance
trade-os that were dierent from a truly bald, slick tire. It was also shown that for the 29
×
2.3”
knobby mountain bike tire studied, the combination of tire tread shear stiness, obtained by combining
individual knobs as springs in parallel, with the inflated bald tire carcass as springs in series, yielded a
lateral stiness value similar to that measured for the total treaded tire.
Finally, the aforementioned footprint, force and moment, and static carcass lateral stiness
parameters for each tire were compared across a range of inflation pressures. Results suggest some
dierences between knobby and less-treaded tires, especially at higher inflation pressures. Inflation
pressure influenced the number of knobs interacting with ground as the toroidal tires deformed.
Incorporating this observation into the approximation of tire lateral stiness as a combination of tread
Appl. Sci. 2020,10, 3156 22 of 22
shear stiness and carcass lateral stiness as springs in series seemed promising. A brief comparison
of a 25 mm and 22 mm rim suggested small relative dierences for the two tires measured.
Ideally, this work supplements ongoing progress in bicycle modelling and simulation [
12
].
Parametrization of nonlinear tire properties, as shown here, may aide higher fidelity bicycle and even
mountain bike handling and stability simulations. A further study looking at alternate tire sizes,
specifications, and tread patterns; isolating individual knob typologies; and implementing a wider
treadmill would be interesting. Applying similarity methods to link tire performance to width and
radius may warrant additional study, whereas a design of experiments (DOE) approach focused on the
eects of specific construction parameters would benefit from bicycle tire manufacturer support in
building relevant test samples.
Author Contributions:
Conceptualization, J.S. and A.D.; methodology, A.D.; software, A.D. and J.S.; validation,
A.D. and J.S.; formal analysis, J.S. and A.D.; investigation, A.D. and J.S.; resources, A.D.; data curation, A.D. and
J.S.; writing—original draft preparation, J.S. and A.D.; writing—review and editing, A.D. and J.S.; visualization,
J.S.; supervision, J.S.; project administration, A.D.; funding acquisition, J.S. All authors have read and agreed to
the published version of the manuscript.
Funding: This research received no external funding.
Conflicts of Interest: The authors declare no conflict of interest.
References
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Statista: Number of Participants in Mountain/Non-Paved Surface Bicycling in the United States from 2011
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surface-bicycling-participants-us/(accessed on 3 April 2019).
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Statista: Bicycle Sales in the United States by Category of Bike in 2017. Available online: https://www.statista.
com/statistics/236150/us-retail-sales-of-bicycles-and-supplies/J.Y. (accessed on 3 April 2019).
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Dressel, A. Measuring and Modeling the Mechanical Properties of Bicycle Tires. Ph.D. Thesis, The University
of Wisconsin-Milwaukee, Milwaukee, WI, USA, 2013.
4. Pacejka, H.B. Tyre and Vehicle Dynamics, 2nd ed.; Butterworth and Heinemann: Oxford, UK, 2006.
5. FastBike 6.3.1 User Manual; Dynamotion: Padova, Italy, 2006; p. 36.
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properties of bicycle tyres for modelling of bicycle dynamics. Veh. Syst. Dyn. 2013,51, 405–420. [CrossRef]
7. Cossalter, V. Motorcycle Dynamics, 2nd ed.; Lulu Press: Morrisville, NC, USA, 2006.
8. Gent, A.; Walter, J. The Pneumatic Tire; NHTSA: Washington, DC, USA, 2006.
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Cossalter, V.; Doria, A. The relation between contact path geometry and the mechanical properties of
motorcycle tires. Veh. Syst. Dyn. 2005,43, 156–167. [CrossRef]
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Wallaschek, J.; Wies, B. Tyre tread-block friction: Modelling, simulation and experimental validation.
Veh. Syst. Dyn. 2013,51, 1017–1026. [CrossRef]
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Jansen, S.; Schmeitz, A.; Akkermans, L. Study on Some Safety-Related Aspects of Tyre Use; European Commission:
Brussels, Belgium, 2014.
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Klug, S.; Moia, A.; Verhagen, A.; Georges, D.; Savaresi, S. Control-Oriented modeling and validation of
bicycle curve dynamics with focus on lateral tire parameters. In Proceedings of the 2017 IEEE Conference on
Control Technology and Applications (CCTA), Mauna Lani, HI, USA, 27–30 August 2017; pp. 86–93.
©
2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access
article distributed under the terms and conditions of the Creative Commons Attribution
(CC BY) license (http://creativecommons.org/licenses/by/4.0/).
... Experimental tests were performed at a forward speed of 0.15 m/s, due to the maximum power given by the electric motor used to drive the flat track [55]. The described test bench was employed to characterise a number of mountain bike tyres in [86]. The reduced width of the flat-top chain limited the slip angles to +/-2 deg, and camber angles to +15 deg and -25 deg. ...
... The authors concluded their analysis by analyzing the contact area and testing the same tyres after removing the knobs. In this way, an increase in the cornering stiffness was enlightened as the tyre became less treaded, so performing better [86]. The test-rig described above allows testing on flat surface, in order to involve the whole contact patch but limiting the maximum achievable speed to 0.15 m/s. ...
... Only the ones presented in [56] and [99], [100] can be also employed for longitudinal forces. Some of them ( [55], [56], [99]) are conceived to test tyres on drum ( [55], [56], [99]), the others on flat surface ( [60], [86], [99]). The test-rig presented in [99] can be used both on drum and flat surface. ...
Thesis
Full-text available
Bicycles are among the simplest and at the same time most fascinating vehicles. Despite their apparently basic design, their stability, dynamics, performance, and safety are still largely unknown. In a world where cities suffer from critical air pollution levels and are often congested by car traffic, bicycles can represent a cost-effective and ready solution to address part of the problem. However, the increasing use of bicycles enlarges the risk of bicycle-related accidents and injuries. Many of these accidents involve falls, highlighting the need of proper studies on bicycle-rider dynamics. While research has been conducted on the effect of bicycle parameters on the handling quality properties, we still do not know enough about the specific role of tyres on bicycle-rider dynamics. To better simulate what happens in the real world, existing bicycle mathematical models need to be integrated with robust tyre models that include side slip, as they can change both the lateral and longitudinal dynamics. Actually, the use of nonlinear tyre models allows taking into account the lateral force and self-aligning torque saturation. This is needed for instance to model the wobble as a non-divergent vibration modes, contrarily to what happens when using a simple linear tyre model. These features relate directly to predict critical situations for which we need a deep knowledge of bicycle tyres, thus proper test-rigs to measure their mechanical characteristics. This dissertation aims to address the following research objectives: 1. To develop a new test bench to measure bicycle tyre lateral characteristics, in order to provide a tyre dataset to be used in bicycle dynamics studies. 2. To provide a robust tyre mathematical model that can be added to bicycle-rider models. 3. To quantify the effect of tyres on bicycle-rider dynamics, both experimentally and numerically. The lateral characterisation of bicycle tyres is barely addressed in academic literature. Only a few test-rigs have been presented so far, for both indoor and outdoor testing. Although field tests usually feature a simpler implementation, they do not allow the tests to be repeatable, as external conditions may vary considerably. Indoor tests are instead performed on specific test-rigs and they allow measuring tyre characteristics with a good level of repeatability, in controlled environments. To fulfil the first objective of this dissertation, I present a novel indoor test-rig for bicycle tyres lateral characterisation (Chapter 3), named VeTyT (acronym of Velo Tyre Testing). It is made of an aluminium frame reinforced with steel cables and plates to increase its stiffness and carries a bicycle wheel on top of a drum or a flat track. Using VeTyT, I conducted an extensive experimental campaign on a 26 mm wide road racing tyre, to investigate the effects of inflation pressure, vertical force, rolling speed and rolling surface temperature on the tyre’s mechanical characteristics (Chapter 4). The temperature of the rolling surface turned out to be a parameter to keep under control during the tests, as it affected considerably the outcomes especially for what concerns the self-aligning torque. An increase in the temperature of the rolling surface from 35 °C to 70 °C caused a decrease in lateral force up to 16% and self-aligning torque up to 50%, for slip angles |α|≥3 deg. These variations may cause unexpected bicycles behaviour, especially when turning on paved roads featured by the presence of shaded corners during summer days. To keep the temperature within a safety threshold during the tests – in the range from 22 °C to 33 °C, found to be acceptable as it did not affect the measurements – I implemented a cooling system and checked periodically the temperature of the flat track by means of a pyrometer and/or a thermocamera. I also evaluated the relaxation length and twisting torque of road racing tyres (Chapter 5 and Chapter 6, respectively). The twisting torque refers to the self-aligning torque for null slip angle and non-null camber. It increases with the increase of the contact patch area, which results from a larger vertical load and/or a lower pressure. Based on this, I proposed a theoretical model to predict the twisting torque, given the knowledge of the contact patch area, wheel radius and camber angle. It provided promising results for camber angles up to 10 deg. Regarding the relaxation length, I compared the results for a 26 and a 28 mm wide tyre, showing that, even though 28 mm wide tyres can generate higher lateral force under larger vertical loads, their relaxation length is longer, meaning that they are less responsive than the 26 mm wide tyres. The second objective of this dissertation sought to close the gap between experimental research and mathematical modelling (Chapter 7). I employed VeTyT to measure lateral characteristics of city/trekking and cargo bicycle tyres. Then, I used the Pacejka’s Magic Formula to develop a simple yet robust tyre model valid for bicycle tyres. Although it was originally conceived for tyres subjected to much larger loads, the Magic Formula provided valuable results for camber angles up to 20 deg, when dealing with lateral force and self-aligning torque. The third research objective sought to move a step forward towards the full exploitation of the just presented tyre model. Looking at the larger picture, it aims to transfer the knowledge from indoor testing of bicycle tyre to bicycle-rider tests and models, thus quantifying the effect of tyres on bicycle-rider dynamics. To do that, I conceived an experimental setup using a kickplate device, typically employed to train car drivers on circuits, to laterally perturb the rear wheel when the bicycle rides over a moving plate, each time with a different tyre inflation pressure (Chapter 8). I used the nonlinear Carvallo-Whipple bicycle-rider model, extended to include the nonlinear tyre model discussed above, and including side slip. The rider was incorporated using a steering torque generating controller. I ran simulations with different tyre inflation pressures, namely tyre characteristics. The experimental campaign with kickplate confirmed that the inflation pressure affected bicycle dynamics, especially the yaw rate (the most affected parameter) and roll rate. I used the yaw rate decay to determine the best inflation pressure relative to the vertical load applied to the wheels, i.e. the rider’s weight. There is an optimal pressure per each rider which allows recovering faster from lateral disturbances. In this dissertation, I demonstrated the significant role tyres play on bicycle-rider dynamics. Starting from indoor testing to ending with bicycle-rider model simulations and outdoor tests with kickplate, I pushed the boundaries of our knowledge in both bicycle dynamics and bicycle tyres, exploring novel testing devices. This knowledge will hopefully help policymakers, manufacturers, and fellow researchers in advancing in the field and gaining insights to enhance cycling and improve people’s daily lives.
... The second area of technology pertains to tire design, including aspects such as block and tread tire patterns, pneumatic winter tires, mountain cross-country tires, and pneumatic radial tires. These tire designs are essential for vehicles operating in mountainous regions, including all-terrain and emergency response ones (Bosch, Hamersma, & Els, 2016;Dressel & Sadauckas, 2020). The primary objective of the tire design patents is to provide the necessary traction and stability on rugged and slippery surfaces (e.g., snow-covered roads, muddy trails, and mountain passes), while maintaining low resistance, ensuring comfort, reducing the risk of punctures, and achieving excellent grip. ...
Article
Full-text available
Transportation and logistics in mountain regions are difficult due to the harsh weather conditions and complex terrain. It is crucial to have specialized expertise and advanced technologies to tackle such challenges. However, the field has unexplored domains, and available solutions are not holistically charted, necessitating a nuanced understanding of the innovation landscape and growth trajectories. This study aims to undertake a patent analysis on mountain transportation and logistics to unveil emerging trends, map technological advancements, and contribute to enhancing transportation systems. Relevant patent documents were extracted from the Der-went Innovation Index database through a keyword search combined with specific International Patent Classification categories. From these documents, technological fields were identified and grouped using the Latent Dirichlet Allocation technique, resulting in 12 clusters. Among them, seat and suspension control systems, intelligent vehicle control systems, electrical systems and electric vehicles, bicycle frame design, and safety devices are likely to attract notable interest in the future. The findings contribute to the academic discourse and hold practical implications for industry and policy stakeholders, offering a nuanced understanding of technological trends crucial for addressing transportation challenges in mountain terrains.
... Due to this fact, the tire behavior must be studied in particular, since tires for use in cargo trailers are driven with a camber angle γ = 0 • due to their suspension, unlike bicycles. Existing studies according to Doria (2012); Dressel (2013) and Dressel (2020), which deal with the modeling of bicycle tires, are not ideal to be used for this special application since their research includes γ ̸ = 0 • and smaller normal force F N,z values. For this reason, the presented research focuses on the measurement and modeling of a special tire for cargo applications under realistic conditions and the integration of the resulting tire model in a complete vehicle model. ...
... Despite extensive design resources spent optimizing and tuning these suspension systems, very little has been published regarding the in-plane behavior of their tires or bicycle tires in general (Knuit, 2014). In this work, a drop test bench is utilized to measure the dynamic radial stiffness and damping of numerous mountain bike tires including four common sizes spanning 29er, plus-sized, and fat tire variants (Dressel, 2020), as well as various constructions ranging from trail, through enduro, and downhill. The tire is treated as a classical, lumped Kelvin-Voigt model with a parallel arrangement of a spring and damper (Acosta, 2020). ...
... Recently, Dressel and Sadauckas (2020) evaluated the effects of tyre tread knobs and inflation pressures of bike tyres. The results suggest that at a lower 1.4 bar inflation pressure, the less-treaded tyres yielded higher cornering stiffness. ...
Article
This paper investigates the effect of various tread design parameters on tyre-terrain interaction characteristics. The off-road terrain chosen for this study is varied moisture content sand. The sand terrain was modelled and designed using the smoothed-particle hydrodynamics (SPH) technique, calibrated using measured terrain data. The truck tyre used in this research is a 315/80R22.5 tyre, designed and validated through finite element analysis (FEA). The tread of the 3-groove base model tyre is modified with 4-grooves, 5-grooves, half depth, and quarter depth to study the impact of the number of grooves and tread depth on the tyre-terrain interaction characteristics. To study this impact, variations of tyre loading and tyre speed were simulated over different terrains. The tyre-terrain interaction characteristics studied include rolling friction, tyre vertical displacement, and longitudinal slip.
... Recently, Dressel and Sadauckas (2020) evaluated the effects of tyre tread knobs and inflation pressures of bike tyres. The results suggest that at a lower 1.4 bar inflation pressure, the less-treaded tyres yielded higher cornering stiffness. ...
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This paper investigates the effect of various tread design parameters on tyre-terrain interaction characteristics. The off-road terrain chosen for this study is varied moisture content sand. The sand terrain was modelled and designed using the smoothed-particle hydrodynamics (SPH) technique, calibrated using measured terrain data. The truck tyre used in this research is a 315/80R22.5 tyre, designed and validated through finite element analysis (FEA). The tread of the 3-groove base model tyre is modified with 4-grooves, 5-grooves, half depth, and quarter depth to study the impact of the number of grooves and tread depth on the tyre-terrain interaction characteristics. To study this impact, variations of tyre loading and tyre speed were simulated over different terrains. The tyre-terrain interaction characteristics studied include rolling friction, tyre vertical displacement, and longitudinal slip.
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A key component in the mountain bike industry is the telescopic front suspension, which offers the advantage of improved performance when traversing obstacles, rough terrain, and high impact landings. Despite the popularity of telescopic forks in the market and their incorporation into vehicle level simulation, the details and modelling assumptions around this subsystem have received limited attention in the literature... This paper presents a system identification and modeling approach that promises a deeper understanding of the dynamic behavior of mountain bikes with telescopic front suspensions. The mountain bike front suspension subsystem is modelled initially using the classic quarter car model with the suspension and tire both included as second-order systems, each with spring and damper elements in a Kelvin-Voigt arrangement stacked in series. The paper then incrementally increases the complexity of the quarter car model by performing a parameterization study of the fork and tire. The model results are compared to data from an impact sled test of a telescopic mountain bike front suspension subsystem. The correlation between the quarter car model response and the test data varies with the complexity and inclusion of parameters suggesting that the inclusion of key parameters in the model is an important aspect of modeling the mountain bike front suspension system.
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The paper presents measurements of the lateral force and self-aligning torque from cargo and city bicycle tyres. Based on the experimental data, we have determined the parameters for the Magic Formula model, for lateral force and self-aligning torque. We performed tests with VeTyT, an indoor test rig specific for bicycle tyres, under different vertical loads (ranging from 343 N to 526 N), camber angles (−5, 0, 5) deg and inflation pressure (from 300 kPa to 500 kPa). For each condition, we evaluated the cornering stiffness and found that it generally decreases with the increase in inflation pressure for the tour/city bicycle tyres. However, the cargo tyre tested showed an opposite trend, with an increase in the cornering stiffness as the inflation pressure increased from 300 kPa to 400 kPa.
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A key component in the mountain bike industry is the telescopic front suspension, which offers the advantage of improved performance when traversing obstacles, rough terrain, and high impact landings. Despite the popularity of telescopic forks in the market and their incorporation into vehicle level simulation, the details and modelling assumptions around this subsystem have received limited attention in the literature... This paper presents a system identification and modeling approach that promises a deeper understanding of the dynamic behavior of mountain bikes with telescopic front suspensions. The mountain bike front suspension subsystem is modelled initially using the classic quarter car model with the suspension and tire both included as second-order systems, each with spring and damper elements in a Kelvin-Voigt arrangement stacked in series. The paper then incrementally increases the complexity of the quarter car model by performing a parameterization study of the fork and tire. The model results are compared to data from an impact sled test of a telescopic mountain bike front suspension subsystem. The correlation between the quarter car model response and the test data varies with the complexity and inclusion of parameters suggesting that the inclusion of key parameters in the model is an important aspect of modeling the mountain bike front suspension system.
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Pneumatic tyres are used in vehicles since the beginning of the last century. They generate braking and steering forces for bicycles, motor cycles, cars, busses, trucks, agricultural vehicles and aircraft. These forces are generated in the usually very small contact area between tyre and road and their performance characteristics are of eminent importance for safety and comfort. Much research has been addressed to optimise tyre design with respect to footprint pressure and friction. In this context, the development of virtual tyre prototypes, that is, simulation models for the tyre, has grown to a science in its own. While the modelling of the structural dynamics of the tyre has reached a very advanced level, which allows to take into account effects like the rate-independent inelasticity of filled elastomers or the transient 3D deformations of the ply-reinforced tread, shoulder and sidewalls, little is known about the friction between tread-block elements and road. This is particularly obvious in the case when snow, ice, water or a third-body layer are present in the tyre–road contact. In the present paper, we give a survey on the present state of knowledge in the modelling, simulation and experimental validation of tyre tread-block friction processes. We concentrate on experimental techniques.
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Advanced simulation of the stability and handling properties of bicycles requires detailed road–tyre contact models. In order to develop these models, in this study, four bicycle tyres are tested by means of a rotating disc machine with the aim of measuring the components of tyre forces and torques that influence the safety and handling of bicycles. The effect of inflation pressure and tyre load is analysed. The measured properties of bicycle tyres are compared with those of motorcycle tyres.
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The mechanical properties of motorcycle and scooter tyres have a large influence on the handling and stability of these vehicles. When a two-wheeled vehicle moves along a curvilinear path, there are large camber angles (up to 50°); hence, tyres have a curved cross-section and the contact patch moves and changes its shape when the roll and steer angles are modified by the rider. This paper describes experimental research aimed at studying the influence of the camber angle, vertical load and inflation pressure on the shape of the contact patch and the forces and moments of the tyres. The experimental tests were carried out by means of a rotating-disc machine. The contact patches were measured by making use of a pressure-indicating film. The camber force and twisting torque were related to the vertical load and inflation pressure through the dimensions of the contact patch. New best-fitting equations were developed starting from the brush model. Many experimental results dealing with front and rear tyres are presented and the merits and limitations of the best-fitting equations are discussed.
Bicycle Sales in the United States by Category of Bike in 2017
  • Statista
Statista: Bicycle Sales in the United States by Category of Bike in 2017. Available online: https://www.statista. com/statistics/236150/us-retail-sales-of-bicycles-and-supplies/J.Y. (accessed on 3 April 2019).
Study on Some Safety-Related Aspects of Tyre Use
  • S Jansen
  • A Schmeitz
  • L Akkermans
Jansen, S.; Schmeitz, A.; Akkermans, L. Study on Some Safety-Related Aspects of Tyre Use; European Commission: Brussels, Belgium, 2014.
The Pneumatic Tire, NHTSA
  • A Gent
  • J Walter