How Is the Damping Coefficient Calculated in a Fluid-Dynamic Dashpot System?

In summary, the conversation discusses the mechanics of a loose fitting piston attached to a conrod and flywheel, and the effects of fluid dynamics on its movement. The participants consider shear stress, friction, and pressure gradients as potential sources of damping. They also discuss the applicability of a "pipe" model and the possibility of fluid compressibility. One participant suggests using Reynolds' equation to calculate viscous forces, and another recommends looking at examples of using this equation in sliding and journal bearings. Overall, the conversation is seeking input and ideas for accurately modeling and calculating the damping coefficient in this system.
  • #1
a.mlw.walker
148
0
So have a loose fitting piston attached to a conrod, attached to a flywheel. The chamber the piston is in is sealed reasonably well around the controd, and is full of a fluid with a viscosity.
Let's say the flywheel is spinning.

I want to work out from the fluid dynamics occurring, what the damping coefficient is around the piston due to fluid moving over it.

What I think is true.

1. There is shear stress occurring, due to the shearing layers of the fluid. I have included that.

2. The model can be assumed to be a pipe, and therefore there is friction occurring due to surface roughness, and the head loss (pressure) can be calculated using a moody chart. I am including this.

3. A pressure gradient builds up across the piston, due to the piston accelerating towards the middle of the stroke, fluid in front of it increases in pressure, and fluid behind it decreases in pressure.
This pressure gradient forces fluid over and around the piston.
This is acting against the motion, and is another source of damping.

If the first two are agreed with, it is the third one I think has the most effect, because my MATLAB code runs nicely but far too fast, i.e for a specified torque applied to the flywheel, the real model runs slower than the simulation (in matlab) - like a tenth of the speed.

I think I need to consider fluid compressibility (currently the fluid is air, but could be changed - so compressibility would change...?)

But I also don't know how to calculate the coefficient that is mulitplied by the velocity of the piston to give the damping term. Does anyone have any (prefferably justified) equation that can help me calculate this coefficient. Assume other variables are obtainable. I believe it could be NOT a constant, although I may be wrong.

I also am not sure whether (using the same equation) I can calculate any leakage past the conrod of the piston, as it moves linearly in and out of the piston chamber - I think there would be some around it

If anyone has any commments about my approach to this they would be very welcome.

Alex
 
Engineering news on Phys.org
  • #2
Item 3 is important, because if you assume the fluid is incompressible, the mean velocity of the fluid through the gap is not the same as the velocity of the piston. In fact the fluid velocity is scaled up in the ratio of (area of the piston)/(area of gap).

Depending on the clearance around the piston, the "flow in a pipe" model may not be appropriate for this. Remember the "pipe" is effectlvely a thin rectangle, with width = 2 pi r and depth = the clearance gap, so any formulas that assume an approximately circular pipe should be treated with a lot of caution. The fact that the "rectangle" is bent round into a circle won't affect the situation much.

If you consider the flow to be similar to lubrication of a sliding bearing, the standard equation is Reynolds' equation (the same Reynolds who invented "the number"), which is the basically Navier-Stokes equation reduced to 1-D flow with the appropriate boundary conditions.

You should be able to find examples of Reynolds' equation used to calculate the viscous forces in sliding and journal bearings etc, but I don't know a reference for your exact application.

Edit: I just noticed your fluid is air. It would stiill be reasonable to assume it was incompressible up to a mach number of about 0.25. Otherwise, things will get MUCH more complicated.
 
  • #3
So the gap is actually a rectangle. and the speed of fluid is scaled up by the area of the piston face/area of rectangle.

When you say the reynolds equation you mean the equation to calculate the Reynolds number? How do you get viscous force from that?

OK I will have a look at Journal Bearings.

If anyone else has any help, would be welcome!
Alex
 
  • #5
, thank you for sharing your thoughts and questions regarding the damping coefficient in a dashpot system. I can offer some insights and suggestions to help you in your research.

Firstly, your understanding of the fluid dynamics occurring in the system is correct. Shear stress and friction due to surface roughness are important factors to consider when calculating the damping coefficient. Additionally, the pressure gradient across the piston also contributes to the damping effect.

In terms of the compressibility of the fluid, it is important to consider the density and bulk modulus of the fluid. The density of air is relatively low, so it may not have a significant effect on the damping coefficient. However, if you are using a different fluid with a higher compressibility, it may be necessary to incorporate that into your calculations.

As for calculating the coefficient that is multiplied by the velocity of the piston, this value is not a constant and can vary depending on the fluid properties, piston geometry, and other factors. One approach you can take is to conduct experiments with different fluids and piston configurations to determine the coefficient empirically. Alternatively, you can use computational fluid dynamics (CFD) simulations to model the fluid flow and calculate the coefficient.

Regarding leakage past the conrod, this can also be calculated using CFD simulations or through experiments. It is important to consider the geometry and clearance of the conrod, as well as the fluid properties, in order to accurately determine the amount of leakage.

In conclusion, your approach to calculating the damping coefficient is sound, and it would be beneficial to incorporate fluid compressibility and leakage past the conrod into your calculations. I suggest conducting experiments or using CFD simulations to determine the coefficient and leakage, as they may vary depending on the specific system and fluid being used. I hope this helps and good luck with your research!
 

FAQ: How Is the Damping Coefficient Calculated in a Fluid-Dynamic Dashpot System?

1. What is a dashpot damping coefficient?

A dashpot damping coefficient is a measure of the amount of resistance a material or system has to motion. It is used in the study of mechanical vibrations and is commonly used in engineering and physics applications.

2. How is a dashpot damping coefficient calculated?

A dashpot damping coefficient is typically calculated by dividing the force required to maintain a constant velocity by the velocity itself. It is also dependent on the material properties and geometry of the system.

3. What is the significance of the dashpot damping coefficient?

The dashpot damping coefficient is important because it helps engineers and scientists understand and predict the behavior of systems that experience vibrations or motion. It can also be used to design and optimize systems for specific purposes.

4. How does the dashpot damping coefficient affect the motion of a system?

The dashpot damping coefficient determines the amount of energy dissipated due to friction and other forces in a system. A higher damping coefficient results in a greater decrease in motion over time, while a lower damping coefficient allows for more oscillation and longer periods of motion.

5. Can the dashpot damping coefficient change over time?

Yes, the dashpot damping coefficient can change over time as the system experiences wear and tear, changes in temperature, or other external factors. It can also be altered by adjusting the material properties or geometry of the system.

Back
Top