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Abstract

Engine Friction and Lubrication
NAZARUDDIN SINAGA
Efficiency and Energy Conservation Laboratory
Mechanical Engineering Department
Diponegoro University
Engine Friction and Lubrication
Engine Friction and Lubrication
Engine friction
terminology
Pumping loss
Rubbing friction loss
Engine Friction: terminology
Pumping work: Wp
– Work per cycle to move the working fluid through the engine
Rubbing friction work: Wrf
Accessory work: Wa
Total Friction work: Wtf = Wp + Wrf + Wa
Normalized by cylinder displacement MEP
– tfmep = pmep + rfmep + amep
Net output of engine
– bmep = imep(g) – tfmep
Mechanical efficiency
m = bmep / imep(g)
1
Friction components
1. Crankshaft friction
Main bearings, front and rear bearing oil seals
2. Reciprocating friction
Connecting rod bearings, piston assembly
3. Valve train
Camshafts, cam followers, valve actuation mechanisms
4. Auxiliary components
Oil, water and fuel pumps, alternator
5. Pumping loss
Gas exchange system (air filter, intake, throttle, valves,
exhaust pipes, after-treatment device, muffler)
Engine fluid flow* (coolant, oil)
*Have to be careful to avoid double-counting. The engine coolant and oil flow losses are provided
for by the oil and water pump. The nature of the loss is a pumping loss though.
SI engine
friction
(excluding pumping loss)
Source: FEV Brochure
Front end
accessory
drives (FEAD)
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2
Engine Friction
Fig. 13-1
Comparison of major categories of
friction losess: fmep at different
loads and speeds for 1.6 L four-
cylinder overhead-cam automotive
Spark Ignition (SI) and
Compression-Ignition (CI) engines.
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Fuel energy
accounting for
SI engine
SAE Paper 2000-01-2902
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3
Pumping loss
V / Vmin
Fig. 13-15 Puming loop diagram for SI engine under firing
conditions, showing throttling work Vd(pe-pi), and valve flow work
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SI Engine losses
0.0
0.1
0.2
0.3
0.4
Fuel conversion efficiency
Gross indicated
Brake
Pumping
loss
Rubbing
loss
SI Engine; 2000 rpm
Preferred
operating range
0 20 40 60 80 100
% of brake load
4
Sliding friction mechanism
Wear
particle
Energy dissipation processes:
Detaching chemical binding between surfaces
Breakage of mechanical interference (wear)
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Bearing Lubrication
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5
Sommerfeld No.=
Decreasing load,
increasing speed
Increasing load,
Decreasing speed
Stribeck Diagram
for journal bearing
= lubricant viscosity
N = shaft rotation speed
= loading force / area
Fig 13.3
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Motoring break-down analysis
(a) (b)
Fig. 13-14
Motored fmep versus engine speed for engine breakdown tests.
(a) Four-cylinder SI engine.
(b) Average results for several four- and six-cylinder DI diesel engines
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6
Breakdown of engine mechanical friction
1 F.A. Martin, “Friction in Internal Combustion
Engines,” I.Mech.E. Paper C67/85, Combustion
Engines – Friction and Wear, pp.1-17,1985.
T. Hisatomi and H. Iida, “Nissan Motor Company’s
New 2.0 L. Four-cylinder Gasoline Engine,” SAE
Trans. Vol. 91, pp. 369-383, 1982; 1st engine.
2nd engine.
M. Hoshi, “Reducing Friction Losses in Automobile
Engines,” Tribology International, Vol. 17, pp 185-
189, Aug. 1984.
J.T. Kovach, E.A. Tsakiris, and L.T. Wong, “Engine
Friction Reduction for Improved Fuel Economy,”
SAE Trans. Vol. 91, pp. 1-13, 1982
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Valve train friction
From
Bosch
Handbook
Valve train friction depends on:
Total contact areas
Stress on contact areas
Spring and inertia loads
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7
Low friction valve train
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Valve train friction reduction
Engine speed (x1000 rpm)
“Friction loss reduction by new lighter valve train system,”
JSAE Review 18 (1977), Fukuoka, Hara, Mori, and Ohtsubo
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license. For more information, see https://ocw.mit.edu/help/faq-fair-use.
8
Piston ring pack
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Piston ring-pack dimensions
(~6 mm height)
•Ring height 1.2-1.5 mm
•Ring gap ~ 0.2 mm
Source: MIT Sloan Automotive Laboratory.
9
Hydrodynamic
lubrication of the
piston ring
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Friction force and associated power loss
10
(by 1-2% of bore)
Piston slap
Change timing (earlier) of
transition so that the cylinder
pressure at transition is lower –
less force to accelerate piston
Transition is a “roll over” so
that slap is less severe
Also the “slap” force is lower
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Bore distortion
4th order 2nd order 2nd order 3rd order
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11
Lubricants
Viscosity is a strong function of temperature
Multi-grade oils (introduced in the 1950’s)
Temperature sensitive polymers to stabilize
viscosity at high temperatures
Cold: polymers coiled and inactive
Hot: polymers uncoiled and tangle-up:
suppress high temperature thinning
Stress sensitivity: viscosity is a function of
strain rate
Viscosity
10W30 refers to upper viscosity limit equal to single grade SAE 10 at 0 deg F (-18C)
and lower viscosity limit equal to SAE single grade 30 at 100 C.
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12
Additive to lubricant
VI Improvers
To improve viscosity at high temperature
• High temperature stability
Acid neutralization
• Detergents and dispersants
To keep partial oxidation products and PM in
suspension and to prevent lacquer formation
• Anti-wear additives
E.g. Zinc dialkyldithiophospate (ZDDP)
Formation of anti-wear film
Modeling of engine friction
Overall engine friction model:
– tfmep (bar) = fn (rpm, Vd, , B, S, ….)
– See text, Ch. 13, section 5; SAE Paper 900223, …
For engine speed N:
tfmep = a + bN + cN2
Detailed model:
– see text Ch. 13, section 6; SAE Paper 890936
tfmep
fmep
components
With detailed modeling of component friction as a function of rpm, load, …
13
FMEP distribution
MAP= MAP=
Engine speed (x1000 rpm) Engine speed (x1000 rpm)
% of total FMEP
Distribution of FMEP for a 2.0L I-4 engine; B/S = 1.0, SOHC-rocker arm, flat
follower, 9.0 compression ratio
C = crankshaft and seals
R = reciprocating components
V = valve train components
A = Auxiliary components SAE 890836
P = Pumping loss
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14
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ResearchGate has not been able to resolve any citations for this publication.
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This research studied the use of Artificial Neural Network (ANN) using feed-forward back-propagation model to optimize and predict the performance of a motorcycle fuel injection systems of gasoline. The parameters such as speed, throttle position, ignition timing and injection timing is used as the input parameters. While the parameters of fuel consumption and engine torque is used as the output layer. Lavenberg-Marquardt model type with train function tanh sigmoid and 25 neurons number is used to generate the target value and the desired output. Variation of ignition timing as optimization variable in a wide range of speed and throttle position is used in experimental tests. ANN is used to investigate the prediction of performance motorcycle engines and compared with the test results. Results showed that the operation of ANN in predicting engine performance is very good. From the test results obtained a smooth contour MAP compared to the initial state. The prediction result and performance test show a good correlation in small error value of training and test that is regression with range 0.98-0.99, mean relative error with range 0.1315-0.4281% and the root mean square error with range 0.2422-0.9754%. This study shows that the feed-forward back propagation on ANN model can be used to predict accurately the performance of a motorcycle engine injection system.
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The utilization and development of clean and renewable energy resources is very attractive because of the world sustainability and environmental pollution. Methanol, ethanol and their blends with gasoline are well known as important alternative fuels for vehicle engines. A serious problem encountered in using gasoline–alcohol blends as motor fuel at low temperatures is the separation of the mixture into two liquid phases, which is strongly influenced by the water content. An important multi-purpose chemical that has an extensive use as anti-freeze agent, 1,2-propylene glycol, is attracting interest in recent years as an additive for methanol- gasoline fuel. The aim of this work is to investigate the effect of composition of the 1,2-propylene glycol additive on engine power and torque of an EFI passenger car fueled with methanol-gasoline blend M15. Research was conducted in the laboratory on a 1.2 L small gasoline passenger car, equipped with electronic injection system, using a blend of 15% gasoline and 85% methanol, by varying the composition of additive of 3 ml/l, 4 ml/l, 5 ml/l, 6 ml/l, 7 ml/l, 8 ml/l, 9 ml/ l, and 10 ml/l. The measurement of power and torque was facilitated by using a simple engine dyno scanner on a dynamometer roll chassis. From the study it has found that the effect of variation of additive composition tend to decrease engine power, but the value of the torque has a little bit increased,compared to puregasoline engine. There was a best value of additive composition that showed high power and torque. According to the effect of additive composition on the power and torque it can be concluded that the best additive composition is 8 ml/l, which is 86.6 Nm on 2500 rpm, while the power remains constant in the value of 51.7 kW on 5800 rpm.
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In this study, the effect of methanol-gasoline fuel blend (M15, M30 and M50) on the fuel consumption and exhaust emission of a spark ignition engine (SI) were investigated. In the experiment, an engine four-cylinder, four stroke injection system (engine of Toyota Kijang Innova 1TR-FE) was used. Test were did to know the relation of fuel consumption and exhaust emission (CO, CO2, HC) were analyzed under the idle throttle operating condition and variable engine speed ranging from 1000 to 4000 rpm. The experimental result showed that the fuel consumption decrease with the use of methanol. It was also shown that the CO and HC emission were reduced with the increase methanol content while CO2 were increased.
Massachusetts Institute of Technology: MIT Open Course Ware
  • Wai Cheng
Wai Cheng. Internal Combustion Engines. Massachusetts Institute of Technology: MIT Open Course Ware.
Fundamentals of Internal Combustion Engines, PHI Learning Private Limited
  • H N Gupta
Gupta, H. N. Fundamentals of Internal Combustion Engines, PHI Learning Private Limited, New Delhi, 2009.
Review of Fuel Consumption Mechanistic Models to be Applied on the Smart Driving Simulator Program, Proceedings, 2nd National Science and Technology Seminar
  • Tabah Priangkoso
  • N Sinaga
Priangkoso, Tabah and N. Sinaga. Review of Fuel Consumption Mechanistic Models to be Applied on the Smart Driving Simulator Program, Proceedings, 2nd National Science and Technology Seminar, Faculty of Engineering, Wahid Hasyim University, Semarang, June 2011.
Driving Cycle Tests of Honda City Passenger Cars Fueled by Premium Gasoline
  • Juli Mrihardjono
  • N Sinaga
Mrihardjono, Juli and N. Sinaga. Driving Cycle Tests of Honda City Passenger Cars Fueled by Premium Gasoline, Journal of Gema Teknologi, Volume 16, No. 3, October 2011, ISSN: 0852 0232.