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Business

Business. There are three new inserts: 2A, 2B and 2C. Some of you are asking me where the lectures are posted Go to our website http://www.me.rochester.edu/courses/ME213/ Click on schedule Go to the day of the lecture (I am not posting in advance). Lecture 5: Friction and damping.

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  1. Business There are three new inserts: 2A, 2B and 2C Some of you are asking me where the lectures are posted Go to our website http://www.me.rochester.edu/courses/ME213/ Click on schedule Go to the day of the lecture (I am not posting in advance)

  2. Lecture 5: Friction and damping dry friction, nonlinear, not easily expressed analytically linear “viscous” damping, proportional to velocity

  3. dry (sliding) friction f µW W Friction force opposite to the direction of motion Obviously the friction force cannot generate motion and so does not act to exceed the applied force, which would generate motion to the left

  4. friction force no motion motion applied force

  5. We have static and dynamic friction coefficients The former generally larger than the latter µW y2(t) y (There are more complicated models, but we won’t deal with them.)

  6. Some comments We can measure the static and dynamic coefficients using an inclined plane

  7. When it moves we’ll have This is a simple initial value problem. Integrating twice and applying the initial conditions I can replace the trigonometric functions and do a bit of algebra to give me

  8. The equation of motion is where the coefficient of friction comes from the previous figure This is not amenable to simple mathematics I’ll talk about what we can do at the end of the lecture

  9. If we add a thin layer of liquid, we’ll have viscous friction The resistance to motion will be proportional to the shear stress in the fluid For a thin layer the flow will be laminar and the shear stress will be proportional to the speed which we can generalize to

  10. This will be our model for friction, and for damping in general Shock absorbers, screen door dampers, various hydraulic dampers all work this way. I’ll use it as a general approximation for all damping Now let’s look at the model analytically.

  11. damper/dashpot damping constant y combine in the same way as springs

  12. c5 c1 c2 c4 m c3 c6

  13. c5 c7 c4 c3 m c6

  14. c5 c4 c8 m c6

  15. c8 c4 c9 m

  16. c8 c10 m

  17. mass-spring-damper system m c f k

  18. natural frequency damping ratio General forced, damped one degree of freedom equation

  19. unforced, a = 0 How do we solve this? Linear homogeneous ordinary differential equations with constant coefficients have exponential solutions!

  20. The equation is not the entire problem; we need initial conditions

  21. characteristic polynomial s is real if z > 1 overdamped s is complex if z < 1 underdamped s has a repeated root (-wn) if z = 1 critically damped

  22. initial conditions combine (1) and (2) solve (3) to get (4)

  23. This is a general expression for any value of z The most interesting and common case is the underdamped (z < 1) case.

  24. In the underdamped case the denominators are imaginary s2 is the complex conjugate of s1 the two terms are complex conjugates and the expression is real as it must be

  25. In the overdamped case the formula in the box is obviously real In the critically damped case, the two values of s are the same, and the differential equation is One solution is e-wt The other is t times this, as we can show

  26. calculate y and its derivatives substitute into equation (1) all the terms cancel

  27. Only the underdamped case has complex exponents (and associated complex coefficients). It’s also the most common case in engineering.

  28. Let’s pursue this case if z < 1 the damped natural frequency

  29. We can use that to rewrite the exponentials in terms of trigonometric functions

  30. We can use this to write the general solution as avoiding explicit complex arithmetic damping ratio ONLY FOR THE UNDERDAMPED CASE

  31. The connection between the two forms expand red for cosine blue for sine

  32. compare (1) and (2) to see that

  33. the initial conditions become

  34. What does all this look like?

  35. Note change in data range

  36. Note change in data range

  37. Note change in data range.

  38. How do you measure the decay rate — the damping factor? The log-decrement method: text pp. 40-43 The idea is that successive maxima are related by z Start with a little analysis

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