Science topic

Viscosity - Science topic

Viscosity is the resistance that a gaseous or liquid system offers to flow when it is subjected to shear stress. (From McGraw-Hill Dictionary of Scientific and Technical Terms, 6th ed)
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Is viscosity dependent on heating rates? Please explain in detail. Also, provide a research article or method that explains how to calculate viscosity using Differential Scanning Calorimetry (DSC) data.
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Dear all, there is nothing to explain, since you are aware by heating rste dependency on activation energy at Tg (delta H). Please check literature for complete understanding. My Regards
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Hello!
When we purchase a biodegradable polyester (PLA, PCL, PHB and others), the manufacturer usually reports the viscosity of a chloroform solution of this polymer. For example, "viscosity ~1.5 dL/g for 0.1% solution at 25C".
I want to use the Mark-Kuhn-Houwink equation to calculate the molecular weight based on this data, and I face several problems.
1. The viscosity provided by the manufacturer seems to be the inherent viscosity rather than the intrinsic viscosity. Is there a reasonable way to estimate the intrinsic viscosity based on a single concentraion point?
2. The solutions of polyesters in chloroform, HFIP and the other commonly used solvents are widely used and extensively studied. I am almost sure that the relations between the molecular weights, concentrations and viscosities are long known and perfectly described. Is there a simple and straightforward source where I can find this information?
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Look at references is " "
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I know storing PVA aqueous solutions at room temperature causes aging which means cross-linkig and hydrogen bonds formation, But I need to accelerate its aging process to gain suitable viscosity for electrospinning without adding aging agents such as acids.
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Hello, You could accelerate aging by storing the solution at a higher temperature with controlled humidity, which enhances cross-linking and hydrogen bond formation.
Best regards.
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Polymer Flooding
To what extent, the effects of non-Newtonian fluid rheology of polymer fluids (such as HPAM or Xanthan) on flow dynamics and its associated up-scaling from pore-scale mechanisms to a larger field-scale implementation would remain to be compromised, if the actual non-Newtonian rheology [the apparent viscosity remaining as a constant @ lower shear rates {upper Newtonian plateau}, and then, the apparent viscosity getting mitigated with shear rates roughly following a power law; and the apparent viscosity reaching a lower Newtonian plateau @ higher shear rates] of polymers leading to a non-linear relationship between flow rate and pressure gradient remains ignored and still directly applying linear Darcy law towards quantifying the permeation of polymer fluids in an oil reservoir?
On the other hand, how easy/complex to simultaneously take into account both
(a) complex rheology of polymer fluids;
as well as
(b) complex topology of the pore-network geometry?
How critical is to include
the effects of increased channeling induced by shear-thinning rheology of polymers
rather than simply considering
the flow paths of power-law polymer fluids remaining similar to that of Newtonian fluids?
Dr Suresh Kumar Govindarajan
Professor [HAG]
IIT Madras
09-Macrh-2025
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These are indeed challenging questions and in addition we shouldn't overlook the surface tension / capillary pressure effects in the pores between the capillary wall and the HPAM or Xantham gels. This lack of wettability can be significant for hydrophobic surfaces. I'm not sure if you're considering a fully wetted system or initial flow?
Regarding the question of whether the flow paths of power-law polymer fluids remaining similar to that of Newtonian fluids? This would not be the case, but rather would be solved by calculating the volumetric flow rate of the fluids through specific diameter capillaries at a given stress.
Shear rate = 4Q/Pi.r^3 Shear stress = p.r / 2L Viscosity(Eta) = Stress/ rate
(where Q is volumetric flow rate, r is the radius of the pore, p is the pressure drop across the pore and L is the length of the pore.)
Q = Shear rate / 4.Pi.r^3, therefore Q = p.r / 2L.Eta
I'm sorry that I can't really speak about the topological effects or capillary/surface tension effects in detail, but I believe that people have simulated similar flows using a capillary rheometer with a porous die and pressure transducer above the die. The flow rate is directly controlled by the piston speed and diameter, and the pressure is measured with a transducer right above the die. Initially you'd "calibrate" the porous block by passing a known Newtonian fluid (water or oil) through it to calculate the overall diameter of the combined pores. A pore count will allow a more accurate shear rate calculation. This known porous material can then be used to run a complex fluid through it.
I hope this helps!
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Hello, My name is Nathan Ruas Alves, I am a civil engineer graduated from the Federal University of Uberlândia and I am currently studying for a master's degree in Civil Engineering with an emphasis on Structures. I would like to ask for your kind collaboration in solving a problem I am facing in my research. I have tried several approaches, but so far, I have not been successful. I am studying smooth concrete slabs reinforced with non-metallic GFRP rebars. The slabs are being simulated by a quarter of the entire slab to facilitate processing. I am using a mesh size of 35 mm, viscosity of 0.0001 and dilatancy angle of 43º. The interaction of the concrete slab with the GFRP rebars is of Embedded region and the Actuator (element considered as rigid in numerical modeling) with the top of the slab where the load is applied was of Constraint type Tie type. For the constitutive model of the concrete I am using the fib Model Code 2010 model for compression and for tension I am using Hordijk (1991). It is worth mentioning that I am using symmetry boundary conditions on the faces of the slabs! The concrete compression and tension damage model that I am using is from the formulation proposed by Yu et al. (2010) which represents a simplified method, as it consists only of subtracting from the unit the ratio between the acting stress and the maximum resistant stress. What I don't understand is why in all the simulations I perform mixing dilatancy or viscosity angles or meshes the stress x displacement curve always looks like this before the peak. How can I reduce this peak to get closer to the experimental one?
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To address the issue of high stiffness in the elastic stage of finite element (FE) analysis in Abaqus, you might consider the following academic approaches:
1. Mesh Refinement
• Although you’re using a mesh size of 35 mm, the stiffness in the early stages can often be attributed to mesh sensitivity. Try refining the mesh near the regions of interest, such as around the GFRP rebars and loading areas, to improve local stress distributions.
2. Material Properties and Damage Models
• The use of the fib Model Code 2010 and Hordijk (1991) models for concrete is suitable, but ensure the parameters (e.g., tension softening, fracture energy) closely match your experimental data. A slight modification of tensile damage parameters might better replicate experimental stiffness.
• Revisit the damage evolution law in the Yu et al. (2010) model. If it is oversimplified, it may overestimate stiffness in the elastic stage. Incorporating a more gradual damage evolution law based on experimental calibration could help.
3. Viscosity Parameter
• Your viscosity value (0.0001) might be too high for capturing realistic early-stage behavior. Consider reducing it incrementally to avoid artificially stiffening the response.
4. Interaction and Boundary Conditions
• Verify that the Embedded Region constraint for the GFRP rebars accurately represents the bond-slip behavior. Overly rigid interaction may artificially increase stiffness.
• For the actuator-slab interaction (Tie constraint), evaluate whether this overly constrains degrees of freedom. Switching to a contact formulation with penalty methods or small separation might better reflect reality.
5. Dilatancy Angle
• The dilatancy angle (43°) may be contributing to the early stiffness. You can experiment with slightly lower angles while staying within realistic material behavior ranges to assess its impact.
6. Initial Imperfections
• Introduce small geometric imperfections or preloads in the model to account for experimental variances, which may reduce unrealistically high stiffness in simulations.
7. Calibration with Experimental Data
• Ensure all input parameters, particularly fracture energy, concrete tensile strength, and compression parameters, are calibrated precisely to match experimental results. The stress-displacement curve is highly sensitive to these parameters.
Additional Notes
• Early-stage stiffness discrepancies often arise due to idealizations in boundary conditions, interaction definitions, or material models. Conduct sensitivity analyses by varying one parameter at a time to identify the most influential factors.
• If the numerical results consistently deviate from experiments, consider alternative models, such as the Concrete Damaged Plasticity (CDP) model, which might offer more flexibility for calibration.
By systematically addressing these aspects, you can reduce the early-stage stiffness and achieve results closer to your experimental observations.
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I have made a NaDES using choline chloride and leaf extract. It is liquid at 150-degree temperature but it becomes solid at room temperature. To use it as a solvent, I need it to remain liquid at room temperature too. can you suggest how to make it liquid or reduce viscosity.
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The product is soluble in water and the viscosity can be regulated by dilution or emulsio
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With a solid loading of 51%, the viscosity of my Si₃N₄ slurry is around 8000 to 12000 mPa.s. Removing pinholes at this high viscosity is proving to be quite challenging, and these pinholes are causing defects in the green sheet. Could anyone share insights or suggestions on how to address this issue and achieve a defect-free substrate?
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The maximum acceptable viscosity for a non-aqueous slurry in tape casting is typically in the range of 1000 to 5000 mPa.s for achieving defect-free substrates, including Si₃N₄. The high viscosity of your slurry (8000 to 12000 mPa.s) may be contributing to the pinhole formation and defects in the green sheet.
To address this issue and achieve a defect-free substrate, here are some strategies to consider:
  1. Reduce Viscosity: You can lower the viscosity of your slurry by diluting it with a compatible solvent or by reducing the solid loading. However, reducing solid loading may affect the mechanical properties of the final green sheet, so finding a balance is key.
  2. Optimizing Binder Content: The binder system can influence slurry viscosity significantly. You may need to adjust the binder concentration, type, or its ratio with the solvent. Binders like polyvinyl butyral (PVB) or polyvinyl alcohol (PVA) are commonly used for Si₃N₄ slurries, and their properties can be optimized.
  3. Use of Rheology Modifiers: Adding rheology modifiers or thickeners can help to control the flow behavior of the slurry, potentially reducing defects. These can be used to achieve a lower viscosity without compromising slurry stability.
  4. Slurry Degassing: Ensure proper degassing of the slurry to remove entrapped air bubbles, which can cause pinholes during the casting process. This can be done under vacuum or through sonication to reduce air content.
  5. Casting Speed and Thickness: Lower casting speed and controlling the thickness of the cast layers can help reduce the appearance of defects, as faster casting can lead to non-uniform deposition of the slurry.
  6. Post-casting Treatments: After casting, post-treatments like drying in controlled humidity or temperature conditions can help minimize the formation of pinholes and cracks.
You may want to consider fine-tuning these factors and performing tests to determine the optimal conditions for your slurry to achieve a smoother, defect-free green sheet.
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Can anyone tell what is the dynamic viscosity value of PCM OM-42 in liquid phase required for numerical modeling. In literature I am not getting exact value. (OM-42 PCM, by Pluss )
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The dynamic viscosity of PCM OM-42 in its liquid state is typically between 0.1 and 0.3 Pa·s at temperatures just above its melting point. The exact value depends on the temperature and composition of the PCM.
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Hello, eveyone!
Does anyone here work with β-glucanase and have a recommended methodology for quantifying its activity? I’ve come across assays based on viscosity, reducing sugar production, and commercial kits. However, I’m wondering which method would be the most suitable. Thank you!
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Recommended methods for quantifying β-glucanase activity include the viscometric method, which measures viscosity reduction of β-glucan substrates, and reducing sugar production assays that quantify glucose release. Commercial kits are also available for standardized measurements, offering convenience and reliability for routine analysis.
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Chemical EOR
1. Despite the efficacy of Surfactant Flooding (which essentially improves the pore-scale displacement efficiency by reducing oil-water IFT any by modifying rock wettability), to what extent, the economic feasibility of ‘Free Surfactant Injection’ during a typical Chemical EOR – could positively be addressed - through the utilization of ‘Surfactant Carriers’, towards mitigating extensive losses through adsorption or precipitation on the rock surfaces?
2. Feasible to deduce ‘A Time Dependent Chemical Structure’ of Polymerswhich could possibly act as both ‘Wettability Modifiers’ as well as ‘Surfactant Carriers’, in addition to its conventional expectation on enhancing the volumetric sweep efficiency by reducing the oil-brine mobility ratio through amplified viscosity?
Could ‘polymeric surfactants’ “simultaneously” (a) enhance viscosity in the aqueous medium; (b) reduce IFT; as well as (c) modify rock wettability?
If so, then, the conventional drawbacks including (a) reservoir and well damage; and (b) reduced viscosity due to polymer solution adsorption and shear forces in oil reservoirs (particularly associated with HPHT and High-Saline Reservoirs with relatively heavier oils) – could be gotten rid-off?
3. Since, HPAM’s (which is the prevalent synthetic polymer in EOR flooding) viscosifying potential gets diminished under the presence of high-saline brine, and also, due to HPAM’s susceptibility to thermal and mechanical degradation impacts the longevity of the polymer flooding, can the application either Biopolymers or HPAM Derivatives (amphoteric hyper-branched polymer derivatives) (cellulose, chitosan & galactomannan-guar) could really enhance EOR system stability?
Suresh Kumar Govindarajan, Professor [HAG]
IIT Madras, 16-Dec-2024
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Dear Suresh Kumar Govindarajan, the matter of feasibility of chemical enhanced oil recovery was bypassed decades ago, now it is more focusing improvements and performance. The economic aspect is related more to the residual oil in place, after primary and secondary recoveries. I worked on this topic two decades ago, using partially hydrolyzed polyacrylamide, it is a general purpose polymer with regard to EOR, however sulfonated polyacrylamides are more recommended whenever the problems of adsorption arise. Prof. Charles McCormick work group at the University of Southern Mississippi did a broad and systematic research on major types of polyacrylamides in this area. Following are more recent papers on both surfactant and polymer EOR. My Regards
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I am doing an experiment wherein we are depositing some hydrophilic nano-particles on a functionalised surface. We are then displacing the aqueous phase with a high viscosity oil phase. However, we are losing approx. 10-20% of the aqueous phase as a hydration layer.
To resolve this we have increased viscosity of oil, added Tween 20 to oil, mixed 10% IPA in aqueous phase. We were able to reduce the liquid loss but it was not repeatable. In addition, use of IPA and ethanol is detrimental to binding of particles to the surface.
As per constraints of our system, we are unable to change flow rate and coating of the channel.
I would appreciate any suggestions on this?
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To address the issue of losing the aqueous phase as a hydration layer while adhering to your constraints, here are some suggestions:
  1. Surfactant Optimization:Experiment with alternative surfactants that do not compromise nanoparticle binding. For instance, phospholipids or biocompatible amphiphilic molecules might stabilize the oil-aqueous interface without disrupting particle adhesion.
  2. Salt Addition:Modifying ionic strength in the aqueous phase (by adding salts like NaCl) could reduce hydration layer formation through electrostatic effects, but ensure compatibility with your functionalized surface.
  3. Thermal Adjustment:Slightly altering the temperature during displacement might reduce hydration effects by changing the viscosity and interfacial tension, as long as it does not interfere with particle binding or oil properties.
  4. Immiscibility Enhancement:Use immiscibility-promoting agents in the oil phase to encourage phase separation. Silicone oils or custom blends with tailored interfacial properties might help.
  5. Flow Pulsation:While flow rate is fixed, inducing pulsations or vibrations mechanically (without altering flow rate) might help disrupt the hydration layer dynamically.
  6. Surface Modification Tweaks:If feasible, re-assess the functionalized surface chemistry. Hydrophilic groups might be over-promoting hydration retention. A subtle adjustment to reduce their density could help.
  7. Experimental Design Refinement:Investigate pre-conditioning the aqueous phase with the oil phase before introducing it into the system to reduce the hydration retention during displacement.
  8. Custom Oil Phase Additives:Incorporate nanoadditives in the oil phase that specifically target hydration layers (e.g., hydrophobic nanoparticles) without altering the primary displacement mechanism.
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A yellow emulsion appears during the synthesis of poly(amic acid), along with a lack of viscosity, Why?
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This is another interesting paper that may bring further explanation to the drop of viscosity.
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Some sources say it is treated as Newtonian as ethylene glycol has a higher viscosity than water, which affects the flow characteristics in simulations. But some also say it is non-Newtonian.
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We say non-newtonian
If this fluid has a change in viscosity when the shear stress is applied.
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Currently, I am conducting dynamic light scattering measurements in different THF/water mixtures (in volume fractions) at 23 ºC and I was wondering whether there are any published data for the related viscosity and refractive index parameters.
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The answer is 'Yes' and a little work/search on RG will help you.
For example, Figure 13 in:
I attach this Figure.
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There are Magnesium-based vanadium inhibitors on the market with low viscosities. How are they produced? specifically 28% Mg-containing ones (which are referred as polymerized Mgs) with such high velocity and low viscosity? How can I know about the ingredients and production route of the process?
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Thanks for your reply. Are there any references that can help me find out how such a viscosity can be attained?
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We know that the LBE is non-dimensional. If I want to introduce the Carreau model in LBM, what are the ways to make the prescribed dimensional model into non-dimensional form, especially when the zero and infinite shear-rate viscosities are expressed in Pa s. Some references to this will be of great help. Also how to take care of the Carreau number.
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A fascinating project. There are many optional models for non-Newtonian fluids apart from Carreau, all need data on the fluid. The more complex models need data for the temperature effects on the parameters in the model. The values at zero shear rate and infinite shear rate are in the same unit as the viscosity (i.e. Pa.s) which is normally used unless you are using a different set of units from SI.
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I need the density and viscosity of a molecular fluid under relatively high pressures, I expect something around 500 MPa. This kind of measurement is way outside my field, and I can find only very few groups who appear to be capable of it, all of which refused for technical reasons so far. Does anyone know a collaborator for high pressure rheology and/or densitometry?
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Ionic liquids are also aligned in monodispersion of highest friccohesity measured with survismeter. The purpose of higher is to be spelled out.
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Hello everyone, Does anyone have any idea on how to deal with such warning messages in Abaqus where the CDP model is being used? My model consists of concrete(C3D8R element) and steel bar reinforcements(T3D) as embedded elements. I have already tried to increase the value of the viscosity parameter for concrete but it didn't work for me. It has caused cutback trouble to my simulation because the warning messages exceed the limit. I have attached an image file from my simulation. Please kindly find it. Any help would be highly appreciated. Thanks!
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Hello, Andira Essa. Please check your boundary conditions to ensure they are properly defined and play with CDP model parameters, especially damage factors and viscosity. Finally, try using different mesh sizes for your element. I hope it helps.
Regards,
Sandeep Gharti Magar
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The question is not about the mixing rule of hetergeneous slags (one liquid + one solid).
It's about the mixing rule of viscosity when two oxide liquids mix.
When the slag compositions hit a region where there is a miscibility gap of two oxide liquids, they should physically mix (or form emulsion that one is suspended in another) as they don't dissolve into each other.
The experiment normally reports a viscosity value, but behind the measurement, what is really this viscosity value for such case - is it the viscosity after mixing or happens to be one of the oxide liquid?
It seems we can easily predict the viscosity of two mixing liquid oxides using the equations in the attached snapshot.
Can I have your opinion on the viscosity mixing rule of two oxide slags or liquids ? How do we model or predict it ?
Thank you in advance.
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I am currently working on a formulation. I'm however getting a higher viscosity reading (in centipoise) than what my counterpart in another laboratory is getting at same spindle and same speed. I have tried to do some root cause analysis and I realized our viscometers are of entirely different models.
While I use Brook field DV2T in my Lab, my counterpart uses Brook field RVT. So I will like to ask
  1. Do the two different Brook field viscometer models give different viscosity readings?
  2. If yes, is it possible to convert viscosity readings gotten from one model to the other? Like, is there a formula for converting viscosity readings (in centipoise) obtained using the DV2T viscometer to viscosity readings (also in centipoise) obtained using the RVT viscometer
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I'm currently working with lignin solutions in sodium hydroxyde and I've collected data on the solutions' viscosity at different NaOH and lignin concentration. The viscosity seems to be correlated mainly with lignin concentration by a power model (the viscosity is proportional to the fourth power of the concentration), yet it still shows some deviations for simillar lignin concentrations at different NaOH concentrations. I've tried working with relative, specific, and reduced viscosity, with the pH, and with lots of different variations of this power model that I inicially proposed, but none of them solved these minor discrepancies. Having in sight that lignin is considered to behave as a branched polyelectrolyte in NaOH solutions, is there a general model that can be tried? One that counts the ionic strength or something simillar? I found quite hard to find any simple model that could be used, yet I think it's quite hard that none has been proposed this far.
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Dependence of the maximum dynamic reduced viscosity η_red of polyacrylic acid solutions on the concentration (c) in H2O c=8x 10-9 mol/l and in D2O c=100 x 10 -9 mol/l at 25 0C. Firstly, this shows that the dependence is complex. Secondly, the difference in behavior in the two solvents shows the participation of the nuclear quantum effect, i.e. quantum fluctuations, in the viscosity.
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Hello all,
Some sources say it is treated as Newtonian as ethylene glycol has a higher viscosity than water, which affects the flow characteristics in simulations. But some also say it is non-Newtonian.
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Ethelene glycol is a conventional newtonian fluid
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well I have waterborne films and I want to check their viscosity, I am guessing it is possible through tensile strength test, can anyone help me
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tensile stress converted into shear stress by constitutive equations and determination of shear gradient on water borne films may be best way to compute viscosity of the material.
thanks & regards
g.sudhakar
PhD(Materials Engineering)
HCU.
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Reservoir Engineering
Deviations from Original Darcy’s Law
1. What was the need for Muskat to replace original hydraulic gradient by pressure gradient?
2. What was the need for Wyckoff to separate Darcy’s original constant of proportionality into permeability (rock property) and viscosity (fluid property)?
3. How about permeability depending on gas pressure, i.e., depending on fluid property (Knudsen-effect/Slippage-effect/Klinkenberg-effect) as well?
4. How about the significance of deviation of Darcy’s law @ very low fluid velocities – associated with consolidated, confined oil and gas reservoirs?
Whether fluid would require a definite threshold gradient in order to shear and to begin flowing?
Would it also influence reserve forecast?
5. How about the application of Darcy’s law for non-Newtonian fluids (where, viscosity remains a function of applied shear rate)?
6. How about non-Darcy flow or post-Darcy flow associated with the non-linear variation of flow velocity with respect to the applied pressure gradient (which has a significant influence on well performance)?
7. In radial flow, the cross sectional area to flow increases, which causes a decrease in fluid velocity for any, given constant flow rate. Whether Darcy’s law remains valid for non-uniform fluid flow having varying cross sectional area?
Even with radial flow, how about the flow analysis with wellbore storage and boundary effects?
8. Whether Darcy’s law be applied in the vicinity of injection or production well, where, the stream lines become curvilinear?
9. Whether Darcy’s law be applied to a reservoir, where, the well is not drilled to the entire thickness of the reservoir?
10.                  Whether Darcy’s be applied to a reservoir that includes reservoir thermodynamics (phase changes associated with temperature/pressure variation: non-isothermal conditions) as well, on top of considering reservoir fluid dynamics?
11.                  Can Darcy’s law take into account any pore-scale detail?
Then, what is the very purpose of applying continuum-scale using the concept of REV?
12.                  Can Darcy’s law explicitly take into account capillary (IFT) and wettability (contact angle) effects?
Does Darcy’s law take into account fluid-fluid interaction and fluid-solid interaction?
13.                  Can Darcy’s be applied for a fluid system having a significant and varying compressibility?
14.                  What was the need for Darcy to deduce an explicit equivalent momentum conservation equation – for characterizing fluid flow through a porous medium - than directly applying Navier-Stokes equation?
Suresh Kumar Govindarajan
Professor (HAG)    IIT Madras
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Convective mixing in porous media: a review of Darcy ...
📷
National Institutes of Health (NIH) (.gov)
https://www.ncbi.nlm.nih.gov › articles › PMC10725412
by M De Paoli · 2023 · Cited by 7 — A possible strategy to model flows in porous media consists of taking the average of relevant quantities (velocity, concentration and pressure ..
Pore Scale - an overview
📷
https://www.sciencedirect.com › topics › pore-scale
Pore Scale. A pore-scale refers to phenomena at the microscopic level, specifically at the level of individual pores, in comparison to macroscopic phenomena ...
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In nanofluids, surfactants play a great role in stability. What is the impact of surfactant in viscosity in nanofluids? If surfactant concentration increases, then viscosity will increase/decrease and why/
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surfactants in high concentration can form mesophases of packed micellar structures. Packing increases friction to move in the liquid media, and this increases the viscosity and even gel-like dispersions can be formed, also known as liquid crystals.
The molecular structure of the surfactant influences greatly on this, because dome surfactants can be packed better.
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Dear all, in all its forms (relative , inherent, intrinsic) viscosity is related to MW in both linear and nonlinear modes. By definition, viscosity is the resistance to flow, so it becomes obvious that the larger/bulky is the molecule the higher will be the viscosity. In polymers, in addition to the concentration, two major interconnected parameters related to chain length dominate viscosity. These are the intermolecular cohesion (resulted from intermolecular forces) and entanglements (interchain physical knots). These defines the energy barriers for free flowing.
The viscosity of the resin determines the mixing time duration and shear level necessary for achieving good and homogeneous dispersion of additives. One missing information in the question statement, is about solution or melt viscosity the question is concerned by? My Regards
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I tried to make slurry for NCM cathode but there was problem in coating process. The detail of my experiment is following;
The ratio between active material(NCM811), conductive additives(Super-P) and PVDF is 80:10:10. PVDF was dissiolved in NMP and ratio was 5w%
Then I mixed them by plentary mixer with 2000rpm for 2 times. First mixing was conducted for 5min and second minixing time was 10 min.
Finally I coated it on Al foil with 300, 350, 400 micrometer by doctor blade.
The humidity was high due to heavy rain at that time. I think humidity makes viscosity of slurry high. But I don't understand why slurry isnt coated well in the middle of foil while near starting point and ending point showed quite good coating.
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There might be a number of issues, but I will try to address some of the possible ones as per my knowledge in slurry making.
First of all, the problem can lie either in substrate or in slurry. But before that, you need to make sure that the environment is relatively dry, and both the slurry and substrate must be free of water, as water is a non-solvent for PVDF. This can cause phase inversion of PVDF, which makes slurry useless. Also, you can try not store slurry for too long after preparation, as the solvent NMP absorbs water from moist air slowly. you can try to use freshly pepared slurry for coating. These are some of the things that might happen because of the environment.
Now, moving on to the materials and methods, If the foil is not rough or etched, coating may not happen anyway, but in that case, the uncoated portions will be there because of high contact angle of the slurry with substrate. you can see that easily by just seeing it or measuring the contact angle of substrate with slurry drop.
But in this case, as it is there in the image, those uncoated portions have streak marks, which might be an indicator of two things:
First is that there might be some significant moisture content in it (See whether the slurry is already like gel before coating). As water is a non-solvent for NMP, a low amount of water can make slurry to phase separate while retainin some NMP inside of it, giving it a gel like consistency instead of a uniform slurry) So you can try to keep the slurry away from water and moisture. You can try to use fresh slurry everytime you coat. If the slurry is too thick, you can use more NMP. If you think that NMP might have been contaminated by moisture, you can either use new batch of NMP solvent or you can dry the existing one with the help of molecular sieves.
The other reason for this thing to happen might be the improper mixing of materials. In that case, aggregated particles just brush against the substrate and move along the doctor blade while coating instead of getting deposited evenly. In that case, as Brinti Mondal suggested, the slurry can be mixed for a longer duration, preferably in a homogenizer, to get uniform slurry. If a homogenizer is not available in the lab, one can use magnetic stirring and sonication to get the best possible results.
Hope this might solve your issue. Please keep us updated.
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Hi everyone,
I try to do a simulation about heat transfer of supercritical hydrogen in a cooling channel. Properties of H2 is obtained from NIST and displayed by an UDF function. I used the k-w model. If i set inlet temperature at 300K, everything is fine and correct. But when i set it to 34.6K, i ran into the problem " turbulent viscosity limited to viscosity ratio of 1.000000e+05 in xxx cells". My mesh is very fine as displayed below. CAn anyone help me to solve the problem
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Hi,
Did you manage to find a solution for your problem ? I kind have the same issue and I am not able to solve it.
Thanks
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I have tried combination of few monomers and resulting emulsion shows tack but tack is not enough to be measured by lap shear test machine, should I try new combinations or use some other method to check adhesion? by changing ratios of monomers viscosity is getting higher with formation of lumps
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Dear Ayesha Sabir, you didn't mentioned the acylate system you are working on, but cyanoacrylate polymers are competitive in tissue adhesives. My Regards
10.1177/0310057X1204000311
doi:10.1001/archotol.1990.01870050046004
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is there any accurate method to calculate the thermophysical properties of water- surfactant mixtures, including thermal conductivity, specific heat, boiling point, surface tension, viscosity ?
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A good starting point is Perry, Chemical Engineers Handbook. This has a chapter on properties of mixtures and their calculation.
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I am trying to run a turbulent pipe flow simulation with turbulent Reynolds number of 600, for 15 seconds, the flow is pressure driven due to gravity enforced buoyancy force which gives kinematic viscosity input as 8.25E-0.5 N/m^2, if gravity value taken as 9.81.
But in this case the flow is unable to become turbulent for smagorinsky LES model. Is this because of the high viscosity input? because for same inputs and changing Re = 2400 and \nu = 2.06E-05 the flow starts to become turbulent within the span of 15 seconds.
1. to make my simulation run changing gravity value and keeping the nu = 2.06e-05 to obtain same Re = 600 will be a solution's to this?? (I'm trying to check this with trial runs)
2. Why does this happen? any physical intuitions for this kinda behavior with \nu values ??
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I suggest to use the dynamic Smagorinsky model. Furthermore, check also the correct domain extensions and grid sizes.
You can accelerate the numerical transient by affine a small perturbation to the initial condition.
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I do the rheological experiment on ZnTiO3 sol-gel.
I am not able to get the theoretical extract of how viscosity properties change with time of this sol-gel of ZnTiO3.
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The viscosity versus time graph of a ZnTiO3 sol-gel system can provide valuable insights into its rheological behavior, which is crucial for understanding its processability and applications. However, predicting the exact theoretical behavior of viscosity over time for this specific system may require empirical data or detailed knowledge of the sol-gel synthesis process, as well as the interactions between the solute (ZnTiO3) and solvent (gel).
Typically, the viscosity of a sol-gel system can exhibit complex temporal evolution due to processes such as gelation, aging, and structural rearrangements. Initially, the viscosity may be relatively low as the sol-gel system behaves more like a fluid. However, as gelation occurs, leading to the formation of a three-dimensional network structure, the viscosity typically increases, signifying the transition from a sol to a gel.
The rate and extent of viscosity change over time can be influenced by various factors, including the concentration of precursors, the nature of the solvent and additives, temperature, and pH. Therefore, it's essential to conduct rheological experiments under conditions relevant to the intended application and to analyze the resulting viscosity-time data to understand the underlying mechanisms governing the sol-gel behavior.
To obtain theoretical insights into the viscosity-time relationship of the ZnTiO3 sol-gel system, you may consider consulting existing literature on sol-gel processes, rheology of similar systems, or computational modeling approaches. Additionally, experimental characterization techniques such as dynamic rheology can provide real-time data on viscosity changes, helping to validate theoretical models and refine understanding of the sol-gel system's behavior.
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Hi all,
I am trying to conduct Dynamic Light scattering experiments on polymer sample using Malvern Zetasizer ZS. One question I have is to whether it is okay to use complex viscosity instead of normal viscosity while preparing the SOP for the experiment?
Thank you,
Richa Ghosh
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Peter A. M. Steeneken , you are right, viscosity is not needed to determine the diffusion coefficient, but only for calculating the particle size. However, that is usually the information of interest.
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What is the typical viscosity range for ceramic pastes used for the Direct Ink Writing (extrusion) process? I have read several articles, and all give different figures; I saw somewhere else that between 20 Pa.s and 50 Pa.s is ideal. What is your answer to this?
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I think that Professor Jennifer A Lewis at Harvard University has published extensively on this, so her papers may be a good source for you?
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Pva
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Typically,it must be increase the viscosity.
what acticles display the pva decrease the viscosity?
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According to the "chauveteau 1981" article, the apparent viscosity decreases at low shear rate and then increases after a critical shear rate.
He didn't mention how to calculate the apparent viscosity and its equation ,,,
If anyone has experience in this respect please help me.
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To measure the viscosity of a porous medium, experiments are often required to determine the apparent viscosity of the fluid in the porous medium. Here's one possible way to do this:
  1. Prepare the experimental setup:Prepare a porous media sample, making sure that the sample has a known porosity and porosity. Prepare fluids, usually using water or other fluids as the experimental medium. Prepare equipment for measuring viscosity, such as a viscometer or rotational rheometer.
  2. Measure the viscosity of a fluid:In the absence of porous media, measure the viscosity of the fluid using a viscometer or rheometer. This will be the actual viscosity of the fluid (( \mu_f )).
  3. Measuring apparent viscosity in porous media:Place a porous media sample into the fluid to ensure that the fluid is able to penetrate the porous medium. Use the same viscometer or rheometer to measure the apparent viscosity in porous media. According to the Kozeny-Carman equation, the apparent viscosity in porous media is calculated and determined.
  4. Analysis Results:Analyze the relationship between the apparent viscosity and the actual viscosity of the fluid in a porous medium based on experimental data and calculated results. This helps to understand the effect of porous media on fluid flow properties.
With this experimental method, the apparent viscosity in porous media can be measured and the hydrodynamic properties of porous media can be further investigated. Please note that experimental methods may vary on a case-by-case basis, and it is recommended to carefully design the protocol and ensure the accuracy of the experimental operation before performing the experiment.
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Dear Readers,
I am writing to request assistance in obtaining numeric or number format data related to turbulent flow in ducts, specifically focusing on square, rectangular, and other geometries. I require data for cases of steady, fully developed flow in the cross section of the duct, with a particular interest in cross-sectional details.
The data I am seeking should be presented in a format that includes the following parameters:
- Horizontal coordinate (x2)
- Vertical coordinate (x3)
- Flow properties: main velocity (U), secondary velocities (V and W), turbulent kinetic energy (K), turbulent viscosity, turbulence dissipation rate (e), turbulent stresses (shear and normal), pressure distribution in the cross section, boundary shear stress, and flow parameters (longitudinal pressure gradients, duct geometry dimensions, friction factor, fluid density and viscosity, wall roughness conditions, etc.).
I have come across several articles that contain relevant information, but the data is presented in graphical form, making it challenging to extract the specific numeric values. Therefore, I kindly request your assistance in providing the data in numeric or number format, as described above.
Examples of experimental data sources include:
- Leutheusser, H.J. 1963. "Turbulent flow in rectangular ducts." J. Hydr. Div. ASCE 89 (3), 1–19.
- Brundrett, E., Baines, W. D. 1964. "The Production and Diffusion of Vorticity in Duct Flow." J. Fluid Mech., 19 (3), pp. 375-394.
- Gessner, F. B., Jones, J. B. 1965. "On Some Aspects of Fully-Developed Turbulent Flow in Rectangular Channels." J. Fluid Mech., 23 (4), pp. 689-713.
- Gessner, F. B. 1973. "The Origin of Secondary Flow in Turbulent Flow along a Corner." J. Fluid Mech., 58 (1), pp. 1-25.
- Melling, A., and Whitelaw, J.H. 1976. "Turbulent flow in a rectangular duct." J. Fluid Mech. 78, 289.
- Gessner and Emery. 1980. [Additional information needed]
- Leutheusser, H. J. 1984. "Velocity distribution and skin friction resistance in rectangular ducts." J. Wind Eng. Ind. Aero. 16, 315–327.
- Thangam, S., Speziale, C. G. 1987. "Non-Newtonian Secondary Flows in Ducts of Rectangular Cross-Section." Acta Mech., 68 (3-4), pp. 121-138.
- Rokni, M., et al. 1998. "Numerical and Experimental Investigation of Turbulent Flow in a Rectangular Duct." Int. J. Numer. Meth. Fluids, 28 (2), pp. 225-242.
Additionally, I am interested in numeric data, such as numerical predictions and Direct Numerical Simulation (DNS) data, from studies conducted by Naot and Rodi (1982) and Demuren and Rodi (1984):
- Naot, D.; Rodi, W. 1982. "Calculation of secondary currents in channel flow." ASCE J. Hydraul. Div. 108, 948–968.
- Demuren, A.O.; Rodi, W. 1984. "Calculation of turbulence driven secondary motion in noncircular ducts." J. Fluid Mech. 140, 189–222.
Furthermore, if any numeric data is available for other flow types, such as flow in cavities, flow at backward-facing steps, flow around cylinders, and flow around square rods, it would be greatly appreciated.
Thank you in advance for your assistance and contributions toward fulfilling this request. Your support will significantly contribute to the advancement of turbulent flow research.
Sincerely and best Regards,
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Dear Dr. Hafez,
This is a good theoretical work describing turbulent motion of fluid in pipes. In references of this article you can find experimental data. Best wishes, Oleh Shvydkyi.
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Since intrinsic viscosity show a relationship with molecular weight of Polymer. So, how about solid content? Does solid content show us about any polymer properties? Like particle size maybe?
This because, I'm doing my research for synthesis homopolymer acrylic sodium salt (MW 2000 - 3000) and always getting more than 45% whereas my target is 40 - 42%
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Dear Shodiq Yusti Wardana, you have a bit higher conversion then the required percent loading. You have two options, either you stop the course of polymerization reaction at the required percent solid content, or you dilute (add solvent) to reach the level of solid content by simple calculation. My Regards
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I am using TfOH, DMC, dimethyldimethoxysilane and MM as the starting material, I have tried to reduce the amount of MM, but I constantly obtained low viscosity silicone oil (~100 mPa`s). I once obtained a 1000 mPa's but this reaction cannot be repeated. Could someone please give some advice. many thanks in advance
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Dear Zy One
The reaction you are employing to obtain your silicone oil is based on the hydrolisis and condensation of silane groups into siloxanes. It is worth remembering that this reaction is highly influenced with the pH and the temperature. Also, it releases alcohols and water as by products. These two factor may be altering the viscosity of your final product. You should ensure that all the byproducts (that are very low viscosity) are removed after synthesis, and the conditions of pH and temperature are in good agreement to what you are looking for (long linear polydimethyl siloxanes).
Hope this helps!
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How can I determine the molecular weight of a polysaccharide (as a powder) dependng on the viscosity?
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Thanks alot
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Ways to determine the chemical properties of mixture of fluids at different composition's and different temperatures using different various formulas.
The chemical properties involve
Desnity,viscosity,velocity,thermal conductvity and other
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  • I can only recommend a model that will suit your purpose. Here, I would recommend using Volume fraction for a Finite domain application.
  • So, assume you have two fluids, A and B. Then, define the Volume fraction of A as FracA = (Volume of Fluid A)/(Total Volume)
  • Now, you can define chemical properties as (Prop) = FracA(PropA) + (1 - FracA)(PropB)
It has to be understood that this might be applicable only to particular Chemical properties and not all. And not for infinite quantity domains.
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This is a code block from nutWallFunction library in OpenFOAM where in, effective kinematic viscosity ($\nut_w$) at the wall is calculated using resolved field(in case of LES)/ mean field(in case of RANS) and $y^+_p$ (wall normal distance of the first cell center). this allows to set a new viscosity value as boundary condition at the wall using log law. Considering the first cell center is in the logarithmic layer of the universal velocity profile.
Now, in this code block of member function defined as nutUWallFunctionFvPatchScalarField::calcYPlus()
There has been iterations done for the yPlus value to reach convergence with maximum of 10 iterations. Why are these iterations needed? and why is the maximum number of iterations 10. I have given a reference of the code below;
tmp<scalarField> nutUWallFunctionFvPatchScalarField::calcYPlus
(
const scalarField& magUp
) const
{
const label patchi = patch().index();
const turbulenceModel& turbModel = db().lookupObject<turbulenceModel>
(
IOobject::groupName
(
turbulenceModel::propertiesName,
internalField().group()
)
);
const scalarField& y = turbModel.y()[patchi];
const tmp<scalarField> tnuw = turbModel.nu(patchi);
const scalarField& nuw = tnuw();
tmp<scalarField> tyPlus(new scalarField(patch().size(), 0.0));
scalarField& yPlus = tyPlus.ref();
forAll(yPlus, facei)
{
scalar kappaRe = kappa_*magUp[facei]*y[facei]/nuw[facei];
scalar yp = yPlusLam_;
scalar ryPlusLam = 1.0/yp;
int iter = 0;
scalar yPlusLast = 0.0;
do
{
yPlusLast = yp;
yp = (kappaRe + yp)/(1.0 + log(E_*yp));
} while (mag(ryPlusLam*(yp - yPlusLast)) > 0.01 && ++iter < 10 );
yPlus[facei] = max(0.0, yp);
}
return tyPlus;
}
My doubt is concerning the do-while loop at the end for yPlus iteration.
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CFD softwares are based on numerical methods or techniques to predict the fluid behavior for various conditions e.g. LES and RANS turbulence modelling etc. Unlike exact solutions , the numerical methods involve approximations of the governing fluid parameters which cannot be evaluated at once and thus need iterative computational solvers.
During this process several types of errors are introduced while approximating variable property e.g round off errors ( machine precision) , truncation errors depending on the type of numerical scheme used.
However , according to the nature of fluid and it's interaction with surrounding environment , ( in your e.g yplus wall function which is measure of the fluid friction resistance near wall ) the solutions obtained through numerical schemes present a significant source of error which can interpret the fluid behavior in entirely different manner.
Therefore, the solution is often tested by repeating the process using better approximations and schemes with a focus to obtain the exactness of parameter value leading to iterations.
During iteration process , the error can amplify or reduce ( which is indicative of the stability of solution ) depending on boundary conditions used to obtain solution. So, often an error tolerance is introduced as condition in numerical algorithm to make the solution more meaningful and realistic which closely approximates the fluid behavior. In your case wall shear stress is being approximated using wall units in logarithmic boundary layer.
Once that condition is satisfied, the process stops and proceeds further by evaluating the next dependent variable and so on until complete solution is obtained.
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I am not an expert in rheology and I have some questions.
I have two different brands of viscometers, a Thermo Electron Viscotester E-L and a Brookfield DV-II+Pro. I can not get the same result with the LV-4 spindle on the Thermo device with the spindle no 64 on the Brookfield device. Theoretically, I know that these two spindles are the same geometry. (Am I wrong?)
In the Brookfield device manual say" When viscosity data must be compared, be sure to use the same test methodology: namely the same instrument, spindle, speed, container, temperature and test time.". One of the results is 30k while the other is around 70k. However, I did not expect a big difference between the two devices. The only thing that comes to my mind is that "Brookfield dsoes not recommend the use of these spindles (LV #4) to perform a calibration check on your instrument. Reasons pertain to the small amount of spindle surface that makes contact with the viscosity standard, the difficulty of establishing the immersion mark precisely and the need for precise temperature control at 25°C in the immediate vicinity of the spindle." mentioned in the device manual.
How do I know which result is correct?
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Setenay Temel Run a standard material of known viscosity on the 2 systems.
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I am trying to purify a cell lysate using a 1 mL His-trap column but the viscosity of the lysate is clogging up the column. What are some solutions to this?
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LYSATES CAN BE FILTERED THROUGH STERILE 0.22 MICRON OR ATLEAST 0.45 MICRON STERILE FILTERS BEFORE INJECTING INTO COLUMN , IF THE INJECTABILITY IS LESS THEN CAN BE DILUTED WITH RESUSPENSION BUFFER AND CAN BE FILTERD AND INJECTED INTO THE COLUMN , THIS CAN AVOID CLOGGING
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Harrison, Sykes and Matins article «Wave effects in Insulation Mounts» in JASA from feb 1952 give models and measurement results for vibration insulation transfer curves showing more than one resonance.
I think I saw that reference in a more recent paper by Charlotte Crispin on floating floor models along with with more modern calculation methodes.
Harrison et al use two terms for viscosity, longtudinal viscosity and a shear viscosity of the vibration insulating material, assumed to be a kind of rubber. They appear to have high expertise in material properties and may have measured these in their lab on their own.
However, regular «googling» only have lead to data for extrusion of rubber, that is as hot melted material and not as dry cold dampers
I am used to work with the loss factor, or any damping parameter, as a part of the vibration insulation, and assume the viscosities relates to damping or losses in some form. It seem as if the «damping» is frequency dependant. For a standard vicous damping model the used damping term is usually a frequency independant constant.
I would be very interested in sources for shear viscosity data for damping materials, or a guide to theory or literature that shed light on this. Or a method to measure it.
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Extensive treatment of mechanical properties of rubber-like materials can be found in Viscoelastic Properties of Polymers by J.D. Ferry, Wiley 1980 and earlier editions. For a more concise treatment, see Vibration Control for Optomechanical Systems, by V.M.Ryaboy, World Scientific, 2022, Sect. 6.3: Elastomeric Isolators. Specifics of porous materials are covered in Cellular Solids, by Gibson and Ashby, Cambridge Univ. Press, 1997.
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Multi-Phase Fluid Flow
1. If varieties of macro-flow characteristics can be formed in the process of two-phase displacement, resulting from the interface instability of displacement front, whether, would it remain feasible to capture the instability of displacement front @ laboratory-scale using experiments, which remains controlled by the competition between capillary forces @ pore-scale; and non-local viscous forces @ Darcy-scale, in the absence of gravitational forces?
OR
The influence of various flow conditions and physical properties (wettability, geometric topology and surface roughness) related to the reservoir rock formation, make this competition between capillary and viscous forces to remain to be more complicated to be captured?
If it remains to be complicated, then, can’t we directly quantify such competition between capillary and viscous forces using only Capillary Number and Viscosity Ratio?
Is it because capturing the characteristic velocity of the invading phase remains to be challenging @ laboratory-scale?
2. How exactly to ensure the following @ field-scale?
(a) Under the condition of unfavorable viscosity ratio, as the Capillary number increases, the viscous forces would gradually tend to dominate, while the displacement pattern gradually transitions from capillary fingering to viscous fingering; and
(b) Under the condition of favorable viscosity ratio, the displacement pattern changes from capillary fingering to stable displacement upon increasing the Capillary number; and
(c) Feasible to capture the transition zone between different displacement patterns (crossover zone) @ field-scale?
Does this transition (changing Capillary number and viscosity ratio to change the displacement pattern) consider the influence of wettability?
Or
Is it only applicable to the drainage process of non-wetting phase displacing wetting-phase?
If the influence of wettability on fluid displacement remains included, then, how will we be able to capture the series of pore-scale reconstruction events (i.e., contact, overlap and burst) and its associated displacement patterns at various Capillary numbers, @ laboratory-scale using experiments?
If yes, then, how precisely will we be able to capture the following?
(a) Feasible to capture the characteristic of capillary fingering @ laboratory-scale, when burst instability mechanism remains dominant (when the displaced phase wets the pore wall more; and the contact angle remaining greater than 90 degrees: drainage)?
(b) Feasible to capture, the way, the interface of the displacement gets stabilized and promoting the compact displacement of immiscible fluids, when the invading-phase wets the wall more (and the contact angle remaining lesser than 90 degrees: imbibition) with the frequency of contact and overlap mechanisms remaining higher?
(c) the way, the fluid displacement process getting gradually transitioned from dominant capillary forces to dominant viscous forces (the role of viscous forces getting gradually increased) with the increase in flow velocity?
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Sorry Icannot help you on this topic
G.. Bognolo
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How can you gel or increase viscosity of a trichloroacetic acid solution?
It seems carbomer and Na-CMC are degraded rapidly by the very acidic TCA, while HPMC drops out of solution at higher TCA concentrations. I did measure a pH of -1.5, so that is rather hefty!
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Dear Hubert Pellikaan ! You can get polyacrylamide or polyvinyl alcohol from the store.
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As shown in the photo, the curved mandrel must be immersed in liquid TPU through a dip molding process.
However, the outside of the bent part will always be thinly coated.
Can you tell me the reason for this and how to solve it?
TPU has a high viscosity of 30,000 cps.
Thanks you.
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Optimize Dipping Parameters: Adjusting the withdrawal speed and angle during the dipping process can help to achieve uniform thickness on curved surfaces. It is important to carefully control the withdrawal speed to ensure that the coating material adheres evenly to the curved surface.
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I`m trying to prepare a solution of water-cmc with the highest content of CMC possible for further processing, but I wanted to know how I can lower the viscosity so it will be easier to handle but still dissolve properly?
Thanks
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As others. have pointed out, you can lower the concentration of NaCMC or add an inert salt like sodium chloride. Adding NaCl only lowers the viscosity if the CMC concentration is low (<≈ 1wt%). At high concentrations, adding salt has little to no effect.
If lowering the CMC concentration is not an option, you could sonicate the solution. This will decrease the molar mass of the polymer thereby lowering the solution viscosity.
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Can we partly cure Butyl rubber sealant formulation at room temperature in 10-15 days time. The purpose of adding a curing system in the formulation is to add the tensile in the product without any degradation and to minimize the loss of Mooney viscosity at the elevated temperature.
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I want to check the viscosity of the non-Newtonian fluid using an Ostwald viscometer.
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Broughton and Rolfe gave relevant answers. I suppose one could use the Ostwald viscometer in a centrifuge to change effective gravity. Might be worth researching.
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I'm trying to measure changes in the molecular weight of treated polyethylene, I found that using dilutions in an organic solvent of the sample on a capillary U-tube viscometer to determine the intrinsic viscosity and from there use Mark–Houwink–Sakurada Equation to determine molecular weight the is the way to proceed, exists another method to do it?
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Ricardo Noe Meza Puebla Gel permeation chromatography is suitable.
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I want to study the viscosity of the of ferrofluids. Would anyone please suggest me institutes in India where I can do magneto rheology studies ?
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I think it depends on your conditions. The viscosity of MRF you want to study is a simple and basic issue, I am confident that many institutes can offer you chances to study it.
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Hello to all
Does anyone have reliable information about the chemical properties of methanol and the combination of methanol with water?
With valid reference
We need this information to select the material for the pump
Information like
viscosity
density
ph
...
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Murtadha Shukur Many Tnx for Your Answer
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Is the formula for calculating the viscosity of non-Newtonian fluids the same as Newtonian fluids?
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Merry Christmas to All Colleagues and Hope for Better Tomorrows for Humanity. Thoughts and compassion for the innocent victims of armed conflicts in Ukraine Palestine and everywhere else.
Open letter from the Palestinian Patriarch "from https://groupegaullistesceaux.fr/ (Own Translation from French)": Michel Sabbah, the former Latin Patriarch of Jerusalem, addressed the global public from the birthplace of Christ in Beit Lahm, through the "Palestine 100 Initiative" platform, for this year's Christmas. In a message dedicated to war-fallen Gaza, the Patriarch said, "Christmas this year, in Beit Lahm and all over the world, is a prayer to God Almighty, to stop the war in Gaza and all of Palestine. During these days, many direct their eyes and hearts to Beit Lahm, but only an hour away, they see the war in Gaza, where humans are buried beneath the rubble of their own homes, they see children beneath the rubble, they see humanity beneath the rubble."
He regarded the war as a genocide of Palestinians, adding that Palestinians and Christians witnessing the genocide during these specific times, "must recognize that Christmas this year should not be restricted to Beit Lahm solely but must traverse to every oppressed human, particularly on the Holy Land, and it makes its way to Gaza and all of Palestine, where death reigns supreme". The patriarch called for an end to the aggressive genocide in Gaza, calling on Christians around the world to support and defend the Palestinian cause. “Gaza deserves liberation, independence and peace,” the patriarch said, adding that the root causes of war and occupation must be investigated, as Gaza and Palestine have a long history of war.
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Hi everyone. Greetings to you all.
Recently, I tested the viscosity of the epoxy resin and CF/epoxy prepreg samples using a TA-discoveryHR-1 rheometer.
Firstly, in an isothermal way(holding temperature at 180℃), I want to study Viscosity vs Holding time.
Secondly, in a temperature-ramping way (rising temperature from 50℃ to 180℃), I want to study Viscosity vs Temperature.
However, I have two types of samples: epoxy and CF/epoxy prepreg. Note that Some micro-sized particles are dispersed in epoxy.
Due to my poor experiences, I don't know how to choose the rheology test mode (flow mode or oscillation mode?) Some preliminary results of viscosity looked weird.
So my questions are as follows:
Q1) In an isothermal way(holding at 180℃), when I test the viscosity of epoxy, which testing mode (Flow or oscillation) is better?
Q2) In an isothermal way(holding at 180℃), when I test the viscosity of CF/epoxy prepreg, which testing mode (Flow or oscillation) is better?
Q3) In a temperature ramping way(50℃→180℃), when I test the viscosity of epoxy, which testing mode (Flow or oscillation) is better?
Q4) In a temperature ramping way(50℃→180℃), when I test the viscosity of CF/epoxy prepreg, which testing mode (Flow or oscillation) is better?
If you could share some of your experiences with rheometer testing epoxy-related samples, I would be grateful for your kindness.
Thank you for reading.
Best wishes!
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Hey there Fan Liu! I am ready to dive into the world of rheology testing. Now, regarding your epoxy and CF/epoxy prepreg samples, let's break it down:
**Q1) In an isothermal way (holding at 180℃), when testing the viscosity of epoxy, which testing mode (Flow or oscillation) is better?**
**Answer:** For isothermal viscosity measurements, the **flow mode** might be more suitable. Flow mode allows you Fan Liu to measure how the material flows under a controlled stress or shear rate. This is beneficial for understanding the material's behavior in real-world applications where flow is essential.
**Q2) In an isothermal way (holding at 180℃), when testing the viscosity of CF/epoxy prepreg, which testing mode (Flow or oscillation) is better?**
**Answer:** For composite materials like CF/epoxy prepregs, where you Fan Liu have reinforcing fibers, **oscillation mode** might provide valuable insights. Oscillation mode can characterize the material's elastic and viscous properties, giving you Fan Liu a sense of how it responds to deformation.
**Q3) In a temperature ramping way (50℃→180℃), when testing the viscosity of epoxy, which testing mode (Flow or oscillation) is better?**
**Answer:** For a temperature ramp, you Fan Liu might lean towards **oscillation mode**. This can help you Fan Liu understand how the material's viscosity changes with temperature, capturing both the elastic and viscous responses.
**Q4) In a temperature ramping way (50℃→180℃), when testing the viscosity of CF/epoxy prepreg, which testing mode (Flow or oscillation) is better?**
**Answer:** Again, for composite materials, considering the reinforcing fibers, **oscillation mode** might be more informative. It can reveal how the material's properties evolve with temperature changes.
**Additional Tips:**
- Ensure your samples are appropriately prepared and handled.
- Consider the concentration and type of particles in your epoxy. Sometimes, adjusting parameters like frequency in oscillation mode can provide more insights.
Remember, these are general suggestions, and the best mode often depends on the specifics of your material and what properties you're most interested in. Trial and error can be your friend. Happy testing!
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I have seen indications of the use of candle filters and bed filters for hot vapour filtration of bio-oil, but never liquid phase.
Is this solely due to viscosity and fouling or is additional degradation seen when liquid phase filtration is used?
Is this also the case for aqueous washes of bio-oils?
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Dear Thomas Nicol;
The interfacial physical and chemical conditions should not change, but in the case mentioned, when the liquid and not the gas passes through the pore, the pressure in the filtration must drastically change in my opinion
Best regards
Jose
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How can I derive polynomial functions that can predict the viscosities of pure liquid water in function of temperature at atmospheric pressure? I used experimental data from literature, but the equation that I derived by using Excel but after derived the equation when I putted the value of temperature (independent variable), it's not worked!
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Please see eq. 7 of J. Pátek, J. Hrubý, J. Klomfar, M. Součková, and A. H. Harvey, J. Phys. Chem. Ref. Data 38, 21, 2009. This is the result of a careful and critical examination of the literature data.
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I have plots of shear stress vs shear rate and viscosity vs shear rate. I want to check which rheological model do my systems (hydrogels) follow and calculate the parameters form the best fitting model. Can anyone give me idea on how to perform this analysis? Thanks a lot
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Ms Ritu Thapa, First observed the shear stress v/s shear rate or Viscosity v/s shear rate data on linear scale. observe the curve pattern (very important aspect for model fiiting and explain the parameters), weather any shear stress is observed at zero shear rate? that means there is a exisitence of yield stress - fit the models which is having a yield stress parameter, other wise power law model may obeys. Most of the standard rheometers having inbuilt softwares for calculating the parameter or transfer data to any statistical software having non-linear estimation programme and calculate the parameter having high R2 value and low error values. The primary thing is observe the graph of shear stress v/s shear rate or Viscosity v/s shear rate data on linear scale.
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I am using 4000 cP methyl cellulose for aqueous tape casting. Since it gives very viscous solution, I am dissolving it in 1.5 wt% in 98.5 wt% DI water. Still it is a very viscous solution. Because of a large quantity of inherent water coming from the MC binder solution, I cannot use more than 1 wt% binder active matter w.r.t powder in slurry, otherwise the powder settles down on container base and water floats on top and there is no mixing because of a lot of water.
What MC viscosity is better keeping in mind a higher possible weight percent dissolution in water? And in how much weightage should it be dissolved in water and at what temperature?
Since sedimentation of particles is very high, what do you recommend for usage of such sized particles for making a good slurry?
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Thank you so much Mr. Gideon C. Irogbele for your detailed response.
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Does anyone know where to download this article:
Sarbaev, A. N.; Polyakov, E. V.; Ruchkova, A. Kh. Density, viscosity and elecrical conductivity of aqueous monoammoniumphosfate Zh. Prikl. Khim., 1972, 45, 2749-2751 T = 293.15 to 353.13 K P = 101.00 to 101.00 kPa
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The Journal abbreviation refers to the Journal of applied chemistry of the Union of Soviet Socialist Republics (USSR), you can search if your university library still has print copies of it, I am not aware of an online version.
Stanford seems to have it https://searchworks.stanford.edu/view/365872 , but getting a scan from there will probably cost something.
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I use a DWS System's DS3000, a photosensitive monomer to disperse the nanoparticles in it and use the solution for SLA printing. But, because of its high viscosity, I cannot increase the particle concentration, which is my goal.
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Thank you very much for the response, Petr. I appreciate it.
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In his book: "FUNDAMENTAL PRINCIPLES OF POLYMERIC MATERIALS", Third Edition, 2012, Wiley, the authors Brazel & Rosen wrote, page 274, problem 14.18: "Note: The fluid is pseudoplastic, but not power law.". What is the key to explain it? I know that there is Non-newtonian fluids, like Bingham, Casson, Herschel-Bulkley with yield stress value, which can not be described by power-law (Ostwald de-Waelle) model. I also know about Cross, Carreau, and other rheological models, with zero shear viscosity, infinite shear viscosity, etc. But, in the context of the problem proposed by the authors, what is the limitation, or, in other words: what is the implication of a fluid that is shear thinning (at least in some intermediate region of shear rate), but that cannot be described by the power-law model? What difference does this make to pipe sizing to ensure laminar flow?
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The statement: “The fluid is pseudoplastic, but not power law.” means that the fluid is a type of non-Newtonian fluid that has a lower apparent viscosity at higher shear rates, but does not follow the simple mathematical relationship of the power law model
The power law model is a two-parameter equation that relates the shear stress and the shear rate of a fluid as follows:
τ=Kγ^n
where τ is the shear stress, K is the flow consistency index, γ˙​ is the shear rate, and n is the flow behavior index
A pseudoplastic fluid has a flow behavior index of less than one, which means that its apparent viscosity decreases as the shear rate increases, However, this model does not account for the minimum and maximum effective viscosity that a real fluid has, and it only applies to a limited range of shear rates.
Therefore, a pseudoplastic fluid may not fit the power law model well, and may require a more complex model to describe its entire flow behavior.
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For example, it is well known that the viscosity of the fluid changes, but does it change in the same relationship if CO2 is miscible or if it is immiscible? Or maybe there are properties that are more affected in a case such as solubility, capillary pressure, and relative permeability?
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When injecting CO2 into an oil reservoir for enhanced oil recovery (EOR) or carbon dioxide storage purposes, the behavior of oil properties can indeed vary depending on whether CO2 is miscible or immiscible with the reservoir fluids. The distinction between miscible and immiscible CO2 flooding is crucial for understanding the reservoir's response and optimizing recovery. Here are some key considerations:
1. Miscible CO2 Flooding:
  • In a miscible CO2 flood, CO2 mixes with the reservoir oil, forming a single-phase fluid, and this can significantly alter the properties of the oil and the overall behavior of the reservoir.
  • Viscosity Reduction: CO2 can reduce the viscosity of the oil, making it easier to displace and flow through the reservoir. This reduction in viscosity is often more pronounced in miscible flooding compared to immiscible flooding.
  • Solubility: CO2 dissolves in the oil phase, increasing the oil's solubility. This can result in the swelling of the oil phase, which can affect oil properties like density and compressibility.
  • Phase Behavior: In miscible flooding, the phase behavior of the oil-CO2 system is critical. Depending on reservoir conditions, the mixture may transition through various phases (vapor-liquid, liquid-liquid, etc.), impacting properties like pressure, composition, and relative permeability.
  • Improved Sweep Efficiency: Miscible CO2 flooding tends to have a better sweep efficiency, meaning it can displace oil from a larger portion of the reservoir rock.
2. Immiscible CO2 Flooding:
  • In immiscible CO2 flooding, CO2 and oil remain in separate phases, and there is no significant mixing at the molecular level.
  • Viscosity Reduction: While some viscosity reduction can occur due to CO2 injection, it is generally less pronounced compared to miscible flooding.
  • Capillary Pressure: The capillary pressure between the CO2 and oil phases can influence fluid distribution and flow behavior in the reservoir. Capillary forces are often stronger in immiscible flooding, affecting the mobility of the fluids.
  • Relative Permeability: The relative permeability curves for oil and CO2 will play a critical role in determining fluid flow behavior. In immiscible flooding, these curves are essential for predicting displacement efficiency.
To differentiate between miscible and immiscible CO2 flooding behaviors, reservoir engineers use reservoir simulation models. These models take into account the equations of fluid flow, phase behavior, and transport properties to predict how CO2 injection will impact reservoir performance. By carefully modeling the system and considering factors like the reservoir temperature, pressure, and composition, engineers can gain insights into whether CO2 will behave miscibly or immiscibly and how it will affect properties like oil viscosity, solubility, capillary pressure, and relative permeability.
Ultimately, the decision to use miscible or immiscible CO2 flooding depends on the specific reservoir conditions, the desired recovery mechanism, and economic factors. Proper characterization and modeling of the reservoir are essential to make informed decisions and optimize oil recovery strategies.
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When using the dimatix samba cartridge, can it be used even if the viscosity of the fluid is less than 4cp?
The ideal requirement is 4-8cp, but has anyone tried using a fluid lower than that?
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I have seen a white paper (and have had varying degrees of success personally) printing with lower than recommend viscosities and surface tension for toluene (and other solvents personally) by using a modified waveform. I've attached the white paper.
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Hello. I need to 100 ul from 75mg/ml polyethyleneimine solution (M.N. 60000 and 50 wt.% aqueous solution). Its a very viscose liquid and with CAS No [9002-98-6].
I have 3 challenges:
1-what is M.N 60000?
2-How much is PEI density?
3-How can I aspirate PEI solution with a micropipette? Do I have to heat PEI?
Thank you for taking time.
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Hi Zahra.
1)
What is MN and Mw in GPC?
Mn is the number averaged MW, and Mw is the weight averaged MW. The midpoint of the distribution in terms of the number of molecules is Mw. The third moment, Mz, has more weighting with regards to higher MWs. The Mw:Mn ratio is termed as polydispersity, and is used for describing the distribution width.29 de jul. de 2015
GPC stands for Gel Permeation Chromatography, a technique to obtain the molecular weights of polymers.
For more details, check: https://www.azom.com>article
----------------------------------------------------------------------------------------------
2)
POLYETHYLENEIMINE Properties
Melting point
59-60°C
Boiling point
250 °C(lit.)
Density
1.030 g/mL at 25 °C
vapor pressure
9 mmHg ( 20 °C)
refractive index
n 20/D 1.5290
For more details check: https://www.chemicalbook.com › ... › CAS DataBase List
3)
I guess you could heat up the PEI solution mildly for sampling with a pipette.
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in suspension, how to reduce the viscosity caused by xanthan gum?
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By use of Hydrogen peroxide
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I took into account the viscosity of the water at 25°C (0.89 cP)
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To determine the molar mass (the size of the apolymer), the viscosity of their solutions is measured. In the DLS method, the diffusion of pectin molecules in water is determined, and the hydration diameter of pectin molecules is calculated from it. Therefore, you correctly used the viscosity of water.
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I would like to know how the well-dispersed nanoparticles within a polymer would increase the viscosity of the resulting product (i.e., the polymer nanocomposite)?
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Thank you very much Haresh Bhanushali and Petr Lepcio for the valuable answers and information provided. That's greatly appreciated!
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I am trying to model a process in which there is a flow of non-newtonian Herschel-Bulkley fluid. to derive equations of pressure drop, wall shear stress and drag force(for spheres inside the fluid) i need a form of reynolds number for herschel bulkley fluids.reynolds number should consider existence of yield stress in rheogram of fluid.
so is there any generalized form of Reynolds number that is applicable for herschel-Bulkley fluids??
I surveyed previous works but i didn't finds so much about
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Hadi Basher Sir, Can you please the reference you used for the formula you mentioned so that it can be cited accordingly in paper.
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Where can I find data about viscosity dependence on concentration in methanol–poly(vinyl acetate) solution? What value of saturation concentration and diffusion coefficient for the solved polymer in this solution at room temperature?
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This is not my article. I work in a different area. Free convection on ribbing.
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Dear researchers,
"From below Figure, the extensional viscosity estimated from CaBER (Capillary breakup extensional rheometer) is too apparent, not true rheological data".
What do you think about this statement?
- In my opinion, a capillary rheometer is an apparatus designed to measure shear viscosity and other rheological (= flow) properties such as extensional viscosity, extrudate swell, thermal stability, wall slip. So the data showed in this Fig is the rheological data. I am not sure about above statement. Please give some advice.
Thank you very much.
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Dear Dr. Joshua Depiver,
Thank you very much for your detailed explanation. Put the statement in its context and combine your comments. I understood that statement.
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hello evryone,
when a polymer has a narrow( fig below) distribution, the macromolecules don't flow in the same way, so this will impact the polymer's viscosity, which can lead to extrusion distortion.
On the other hand, if the polymer's distribution is wide( fig below), there is consistency in the viscosity, so the orange skin ( fig below) effect is hardly noticeable. is it true ?
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Dear Hakim Bout, melt extrusion defects are the consequences of many processing parameters, MWD is one of them, since diferent lengths chains have differents relaxation responses (times) while recalling at the exist of the dies. My Regards
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Hi, I am looking to conduct rheometric experiments on water or hydrogels whose viscosity is very less. Should I use Dynamic light scattering or a rheometer?
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Hi Richa Ghosh , most geometries can get you good results from 10 1/s to ~500 1/s. The challenges are that at the lower shears with a small geometry, you will be pushing the lower torque limit of the rheometer. At the higher shear rates and with low viscosity samples, you may generate turbulent flows which give an artificially high viscosity if your gap is wider.
So, with a cone 1°60mm you should be able to generate good data with *water* from 1 - 500 1/s. With a cone 1°50mm you will probably get good data from 5 - 1000 1/s. With a parallel plate 50 or 60mm you can get to higher shear rates with a narrow gap, as long as everything is well aligned.
For sample of 10 cP viscosity and similar density as water, you should be able to get 10 times as fast shear before turbulence begins. I attach a spreadsheet that may be helpful as well. To use it, you'll need to enable it in Excel, then enter the instrument type, geometry and gap in the yellow squares and the graph updates for you.
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Is it possible to create a 100-um thick polyimide layer through spin coating? If possible, What will the pi liquid's spin speed and viscosity?
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Ubaid Ur Rahman Qureshi This is a very thick polyimide film, as I guess you know. Typically spin coating will produce films up to several hundreds of nanometers thick (after heat treatment). Is there any reason why yu can't use polyimide film directly? For example:
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Hello! We pump the contour of a metal tube with a diameter of 3 mm with oil with a viscosity of 0.0031 kg / m * s (abt. the viscosity is 4 times higher than that of water). We are interested in the pressure for pumping this circuit (at the inlet).
When validating the model in Ansys CFX with k-epsilon default settings, the difference between the result and the experiment reaches 100%, although the mesh is adjusted according to the tested and validated model, only on the water (with a maximum deviation of 10%). The Reynolds number in a pipe with a diameter of 3 mm is Re=2500, that is, we are dealing with a transitional flow regime, and the pipe is not hydraulically smooth in terms of the critical number Re=20d/"roughness".
Tell me, please, maybe for this mode it is necessary to use another turbulent model, for example, "Reynolds stress" or "k-epsilon" set up somehow differently? Maybe there are works in which a similar problem is solved, or there are works with recommendations on the use of turbulence models?
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Ilya Lichadeev What I mean that it depends how you verify your numerical model (point-wise, using integral values, etc.), and which experimental data is used. For some setups it is not possible to get a perfect quantitative match, but it is enough if your model follows the trends observed in the experiment.
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ENHANCED OIL RECOVERY
1. Apart from ‘reversal of wettability’, to what extent, chemical EOR by the addition of nano-particles in the absence of surfactants (or stabilizers or surfactant-like chemicals) would really lead to ‘IFT reduction’ at the larger field-scale?
If not, whether the fraction of IFT reduction by nanoparticles would tend to remain to be zero - when both nanoparticles and surfactants are driven together?
If yes, how exactly nano-particles aid the surfactants towards accelerating the magnitude of IFT reduction?
2. Feasible to enhance the oil recovery at the real field-scale - using nanoparticle concentrations – well-below ‘one percent’ - as observed at the laboratory-scale using experimental investigations - towards altering the wettability?
If not, how could we bridge the gap between laboratory-scale observation and the actual requirement of nanoparticles with the real field-scale scenario?
3. How practical would it remain to have a control over modifying the properties of nanoparticles; or to have a control over the functionalization of nanoparticles; or in selecting the coating materials of nanoparticles – as a function of a specific reservoir condition – at the real field-scale (and not at the laboratory-scale)?
4. Apart from ‘reversal of wettability’, to what extent, chemical EOR by the addition of nano-particles in the absence of surfactants lead to ‘log-jamming’ or ‘pore-plugging’?
Would it remain feasible to ensure that the ‘radius of nanoparticles’ to remain to be (a little bit) greater than the ‘pore-throats’ – at the larger field-scale – so that these nanoparticles resulting from ‘log-jamming’ would try to plug the paths of already swept zones; and thereby, leading the ‘oil flow’ to get diverted into the unswept zones of the reservoir?
To what extent, will we be able to avoid the accumulation of nanoparticles at the entry of the unswept pathways (resulting from pore-plugging) that eventually leads to a mitigated oil recovery?
Are we really selecting nanoparticles - only after, the careful consideration of ‘mean free path’ (including size, shape and aspect ratio) of nanoparticles; and the ‘pore size distribution’ of real field reservoir conditions?
5. Would it remain feasible to delineate the fraction associated with the ‘agglomeration of nanoparticles that results in precipitation on the surface of rock by gravity forces’ – from that of the ‘nanoparticles that remain adsorbed to the surface of rock due to surface charges’ in an oil-wet reservoir?
6. While polymers enhance the ‘viscosity of water’, could nanoparticles would remain efficient enough in mitigating the ‘viscosity of oil’ – on top of ‘reversing the wettability’ in an ‘oil reservoir’?
7. To what extent, will we be able control the pH of the formation fluid at the larger field-scale - which essentially governs the electrokinetic properties (DLVO) of nanoparticles that dictate the stability of nanofluids?
Feasible to measure the electrophoretic mobility (as a function of the velocity of suspended particles induced by an electrical field over the strength of an electrical field) of nanoparticles @ field-scale in order to have a control on the stability of nanoparticles?
8. Does ‘elevated temperature’ always remain to be an advantage for nanoparticles to remain to be efficient - as the ‘Brownian motion of nanoparticles gets intensified with increasing temperature’?
9. What would be the difference in the optimum value of nanoparticle concentration that is expected between the observed laboratory values and the actual field-scale requirement – towards preventing the scale formation?
10. Coupled effect of nanoparticles with surfactants/polymers/foams/low-salinity water: Are we able to bridge the gap between experimental observations at the laboratory-scale and the real field complexities associated with the larger field-scale?
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I really liked your questions. Back in 2016, there was the same question about whether low-salinity water flooding could really work at the field scale. We knew that some lab-scale studies showed that changing the water's saltiness had an effect, but they had to inject a lot of water into the samples, like 20-25 pore volumes (PV). The problem is, doing the same thing on a bigger scale in the field is impractical. I reached out to a friend who is a manager of a petroleum field, and he told me that, due to the size of the reservoir, after 17 years of waterflooding operations, they only reached 0.79 of the reservoir's PV. Additionally, using low-salinity water is much easier to control than injecting nanoparticles, as you mentioned. Another critical issue is whether simulators and computational models can handle these complex multiphase mechanisms. In my opinion, the key to making decisions like these lies in finding a company that has the courage and capability to try nanoparticle flooding on a pilot scale. Going from the lab to the field is no easy task. If you're interested, a couple of articles, namely 171794-MS and 165253-MS, can give you some ideas on how to transition between different scales. You might also want to check out my own article on the least field operations of Chemical EOR methods.
As I stated in the above article, the problem is not only about injecting or producing chemicals; one challenging issue is monitoring them alongside the reservoir. It's pretty interesting!
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Dear all,
How can I find what is the viscosity of a solution of water with 1-2 mol/L of sorbitol please at 20°C ?
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See following reference, which contains detailed data for up to 1 mol/L and equations that presumably will allow you to extrapolate to slightly higher concentrations:
Zhu J.Chem.Eng.Data 55(9) 2010, 3882
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How can I decided whether to use multi exponential or single-exponential fit to the normalized autocorrelation function in order to find the viscosity in optical trapping? Also, how many parameters I can use?
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Viscosity cannot be calculated directly from the auto correlation function. Auto correlation is used to measure the similarity between a signal and a delayed version of itself. To calculate viscosity, you would need to measure the rate of deformation of a fluid when it is subjected to shear stress.
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I am simulating Poly Lactic Acid flow in a barrel with a nozzle at one end. The problem I am facing is modelling PLA's viscosity as a non-Newtonian fluid. Can anybody help me with this how to apply the power rule of viscosity for PLA and from where I can find the values of constant used in the power rule?
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Polylactic acid (PLA) is a biodegradable polymer commonly used in 3D printing applications. Like many polymer melts, PLA exhibits non-Newtonian flow behavior, meaning that its viscosity depends on the applied shear rate. To model the viscosity of PLA as a non-Newtonian fluid, you can use a rheological model, which is a mathematical equation that describes the relationship between shear stress and shear rate.
Several rheological models can@@ be used to describe the non-Newtonian flow behavior of PLA, including:
  1. Power law model: This model assumes that the viscosity of the fluid is proportional to a power function of the shear rate. The power law model can be expressed as:
τ = K γ^n
where τ is the shear stress, γ is the shear rate, K is the consistency coefficient, and n is the flow behavior index. The values of K and n can be determined by fitting the power law equation to experimental data.
  1. Carreau-Yasuda model: This model is a modified version of the power law model that accounts for the shear thinning behavior of non-Newtonian fluids. The Carreau-Yasuda model can be expressed as:
τ = K (1 + (λγ)^2)^((n-1)/2)
where λ is a characteristic time constant and n is the flow behavior index. The values of K, λ, and n can be determined by fitting the Carreau-Yasuda equation to experimental data.
  1. Cross model: This model is a more complex equation that accounts for both shear thinning and shear thickening behavior in non-Newtonian fluids. The Cross model can be expressed as:
τ = K (1 + (λγ)^a)^((n-1)/a)
where a is a shape parameter. The values of K, λ, n, and a can be determined by fitting the Cross equation to experimental data.
To model the viscosity of PLA as a non-Newtonian fluid, you will need to perform rheological experiments to measure the shear stress and shear rate under various conditions. You can then fit the rheological model of your choice to the experimental data to determine the values of the model parameters. This will allow you to predict the viscosity of PLA under different shear rates and temperatures, which can be useful for optimizing 3D printing processes and understanding the flow behavior of PLA.
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Given the viscosity of a solution of a known concentration, can the change in viscosity when the concentration changes be calculated by a formula?
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The chitosan solution's viscosity scale with concentration according to the standard viscosity equation for polymers. Given the concentration of 0.5%, the semi-diluted range is most relevant.
The acetic acid concentration will control pH, and that is a very complex interplay of forces. A few ideas from the literature:
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hello;
In my research on calculating the minimum ignition energy analytically, I need Jet A-1 fuel properties, especially the quenching distance, viscosity, and flame speed, which are expressed as a formula in terms of temperature or pressure, so that I can calculate the minimum ignition energy by placing them in the main formula.
But I did not find enough information about the mentioned fuel. Can anyone help me?
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Dear friend Mahdi Pirzadeh
Jet A-1 fuel is a kerosene-based fuel that is commonly used in aviation. Here are some of its properties:
  • Quenching distance: The quenching distance of Jet A-1 fuel depends on several factors, such as the geometry of the ignition source, the flow rate of the fuel, and the concentration of fuel vapors. The quenching distance can be estimated using empirical correlations or by experimental measurements. A typical value for the quenching distance of Jet A-1 fuel is around 1 mm.
  • Viscosity: The viscosity of Jet A-1 fuel depends on temperature and pressure. At standard conditions (25°C and 1 atm), the viscosity of Jet A-1 fuel is around 1.5 cSt (centistokes).
  • Flame speed: The flame speed of Jet A-1 fuel depends on several factors, such as the fuel composition, the fuel-air mixture ratio, and the flame temperature. The flame speed can be measured experimentally or estimated using empirical correlations or numerical simulations. A typical value for the laminar flame speed of Jet A-1 fuel is around 0.35 m/s.
You may also find more detailed information about Jet A-1 fuel properties from the fuel manufacturer or from published literature in the field of combustion science.
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I am trapping a 1-3 um sized silica particle in water. The viscosity obtained from auto correlation function is coming out double that of viscosity of water at 20 degree Celsius. Can that happen and what are the possible causes behind it?
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No, the viscosity of water in optical trapping cannot come out double than that of bulk viscosity. Optical trapping relies on the interaction between the light and the particles being trapped, and the viscosities of the surrounding media do not affect the trapping process.
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Does PMMA with a low molecular weight may have a higher complex viscosity than PMMA with a high molecular weight? Why is this happening, and what causes it?
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Hi,
you must first consider how the molecular weight was measured, as suggested by Leonhard Kilian Doppelbauer. Nonetheless, there might be several reasons:
1. Viscosity is quite sensitive to very small (plasticizers) and very large molecules (thickeners).
2. Fillers, especially nanofillers
3. Branching
4. Tacticity
Isotactic PMMA has a Tg lower by 67 K than the syndiotactic stereoisomer. And viscosity scales with the relative distance from the Tg.
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1.hello every body
I'm currently doing research on Bioethanol with various chemical blends( simulation with converge). Since all the fuel blends not provided in the fuel library, so how to create it? Do I need to provide all those data in "parcel simulation" tab? (i.e. viscosity, surface tension, density etc...).
It seems quite lots of data and very long process to conduct all those chemical testing . Any suggestion? Thanks...
NB:
I need thermo data of hydrous ethanol?
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You are welcome Bakache Younes.
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Hello
I want to melt the polymer, but the viscosity of the polymer in the molten state is high. Is there a way to reduce the viscosity of the polymer melt (not the viscosity of the polymer solution)?
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In addition to the aforementioned possible solutions, addition of particular nanoparticles may also contribute to viscosity reduction.
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Hello Researchgate community,
I am working on my master thesis topic which involves investigation of extensional behavior of liquids. However, I need values like zero shear viscosity, surface tension for wt% concentrations of aqueous xanthan solutions and I am unable to find the values.
I know that this is a very simple query but I have tried many research papers to get the values so that I can use them directly in relevant formulas. It would be really great if anyone could mention papers regarding this.
Thank you in advance and have a great time ahead!
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Ziwen He , Thank you very much for your time and I really appreciate your help. I will check out these publications.
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  1. converted unit
  2. from dynamic viscosity to gm / mole
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Dynamic viscosity and molar mass are two different physical properties and cannot be directly converted from one to another. Dynamic viscosity is a measure of the resistance of a fluid to flow under an applied force, while molar mass is a measure of the mass of one mole of a substance.
However, if you have information about the molecular weight of a fluid, you can use it to calculate the kinematic viscosity, which is the dynamic viscosity divided by the fluid's density. The kinematic viscosity has units of square meters per second (m²/s).
Once you have the kinematic viscosity, you can use the following formula to estimate the dynamic viscosity in centipoise (cP):
Dynamic viscosity (cP) = Kinematic viscosity (m²/s) x Density (g/cm³) x 1000
To calculate the molar mass from the dynamic viscosity, you would need additional information about the fluid, such as its molecular structure and density.
I Hope this helps.
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I have 3% gelatin and 0.2 % chitosan sample that i want to measure its viscosity using the NDJ 8S viscometer. I tested the sample with different probes that came with the device but I still do not know what is the best probe that give the accurate data.
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Gehad Mahmoud Khaled Read the manual? Contact the agent/distributor/manufacturer? Pay for training? Get trained by someone in your institute familiar with the device?
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Hi, I want to sterilize the chitosan solution (for microbiological purposes). I don't want to autoclave the solution as it might affect the heat-sensitive additives in the solution. Also, I am not sure if I can use membrane filters as the viscosity of the solution is very high. Are there any suggestions?
Regards,
Elham
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By using suitable filter
Membrane, I guess.
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We currently use a viscometer to determine the relative viscosity of our product, however theoretically I think that we could calculate the relative viscosity from the measured amount of amino end groups in our polymer product.
The viscosity is linked to the amount of AEGs because this determines the (average) chain length of the polymer. And the chain length is linked to the viscosity.
I'm struggling to find a formula to calculate this, anyone who has experience with this?
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Even viscometry doesn't give Mn. You can try other experimental techniques. If the MW is not two high, freezing-point depression may be used. There are many books dealing with these techniques, such as the following :
Comprehensive Analytical Chemistry - Molecular Characterization and Analysis of Polymers_Vol.53 (2008)
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What is known about the molecular weight of EPDM and/or sEPDM! Are there correlations between viscosity and molecular mass for these polymers?
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Dear Gheorghe Nechifor, more meaningfull features are the MWD and monomers composition ratios and repartion. The way of synthesis proven also to have a high impact on properties and cure kinetics. Metallocenes EPDMs have improved characteristics over classical synthesis techniques. Please have a look at the following documents where some correlation are presented. My Regards
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Mostly, when I measure the viscosity of liquid material at constant shear rate for 10 min , the value does not change with time . But, during the measurement of viscosity of nanocomposite fluid at constant shear rate, I noticed the viscosity changes between two values in the regular pattern.
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Howdy Pashupati Pokharel,
I suggest that you consider the shape of your nanocomposite particles and their behavior in a shear flow. If the particles are "tumbling" in the shear they might be affecting momentum transfer. The observation that the viscosity changes between two values may be due to changing shear stress as the particles tumble and align in different orientations.
Your observation is a surprise, it was unexpected, an opportunity for a larger awareness. My offering is a speculation based on extensive study of shear in fluids and near-total ignorance of nanocomposite fluids. I hope it opens a line of inquiry worth pursuing.
Happy Trails, Len
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High viscosity MHECs can be used in Tile Adhesive formulations?
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Hello,
and what tiles ? for what use ?
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This is an anectdotal experience- i mixed two brands of liquid handwash soap without adding any water, and the mixture surprisingly appears less viscous (I have not measured with any device, but can tell from ease of flow) in winter months compared to standard handwash soaps I experienced in summer. can you tell why?
The handwashes are not alcohol or glycerine based- these are soap based. I know sodium stearate, palmeate, oleate etc. are main components of body washing solid soaps. Using potassium instead of sodium makes the soaps softer. and the liquid soaps are sodium laureth or pareth sulfate (or sulfonate?) based. This is not like deteregent where cationic and anoic detergent mixed together produces a buch of much-less water soluble entangled polymers. Even If I assume (polymeric) ionic liquid formation scope, even then viscosity reducing with temperature does not make any sense. Or does it? I know thermoplastics show higher elastic modulus at higher temperature sometimes due to entropic effect. Is something like that happening here? can you tell me whether there ane widely circulated liquid-soap-based handwashes that are not laureth or pareth based? Or what can be the role played by additives into the handwash?
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The viscosity of cleaning solutions with a low salt concentration is affected by the nuclear quantum effect. Proton tunneling along the chain of H-bonds is observed, which leads to an increase or decrease in the intermolecular interaction.
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plz recomend methods
i have a problem about Mixing in pipe(polymerization).
because of polymerization speed(too fast), static mixer used to be blocked with gel(polymer gel).
so i need pre-mixing front of static mixer.
i thought about method
mixing plate (make turbulant flow) -> raw material's viscosity is high (X)
jet mixer -> can make a gel (fast polymerization) -> can be block the injector hole
so to solve a problem plz recomend any method which have a small possibility !
thank you
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Dear Jae Hyeok Lee, I couldn't get the whole picture of the situation. Why not working in an emulsion polymerization ? Please give more description of the experimental setup. My Regards
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How can I reduce the viscosity of saliva samples for the proteomics project and homogenize the samples viscosely?
It should be noted that I do not want proteins to be removed in this way
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How to digest mucin in saliva?