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The Science of Baseball Alternative models

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1 The Science of Baseball Alternative models
4/25/2019 The Science of Baseball Alternative models A. Terry Bahill Emeritus Professor of Systems Engineering University of Arizona ©, , Bahill

2 Reference Terry Bahill, The Science of Baseball: Modeling Bat-Ball Collisions and the Flight of the Ball, Springer Nature, NY, NY, 2018 Chapters 5

3 State the problem 4/25/2019 © 2017 Bahill 4/25/2019
Begin with the end in mind Steven Covey and Omega Alpha Association 4/25/2019 © 2017 Bahill

4 Product Position Statement
4/25/2019 Product Position Statement For engineers and students of the science of baseball, who want to understand bat-ball collisions and the flight of the ball, this book The Science of Baseball presents equations for the speed and spin of the bat and ball after the collision in terms of those same four variables before the collision. Unlike existing books on the physics of sports, this book uses only simple Newtonian axioms and the conservation laws. It also contains alternative models for bat-ball collisions and the flight of the ball. 4/25/2019 © 2017 Bahill

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6 4/25/2019 © 2017 Bahill

7 Alternative models Purpose: This module will present four alternatives to the BaConLaw model and explain why each might be used for a different purpose. BaConLaw model Effective Mass model Sliding Pin model Spiral Center of Mass model Collision with Friction model Ball in Flight model 4/25/2019 © 2017 Bahill

8 Modeling This book is about modeling and simulation of bat-ball collisions and the flight of the ball. A model is a simplified representation of some aspect of a real system. A simulation is an implementation of a model, often on a digital computer. Models are ephemeral: they are created, they explain a phenomenon, they stimulate discussion, they foment alternatives and then they are replaced by new models. 4/25/2019 © 2017 Bahill

9 BaConLaw model Fundamental axiom for the BaConLaw model is a free-end collision. The bat acts as if no one is holding onto its knob. Imagine the bat laying on a sheet of ice and you are looking down on top of it. Then a baseball slams into the bat at 80 mph. This collision produces a translation and a rotation of the bat about its center of mass. 4/25/2019 © 2017 Bahill

10 Coefficient of restitution
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11 Kinetic energy lost 4/25/2019 © 2017 Bahill

12 The input/output equations
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13 Simplified equations 4/25/2019 © 2017 Bahill

14 Rule of thumb 4/25/2019 © 2017 Bahill

15 Effective mass model Assume a free-end collision
Purpose: This section presents the bat Effective Mass model, which is the most popular physics model for bat-ball collisions. 4/25/2019 © 2017 Bahill

16 Batted-ball speed Using the coefficient of restitution and conservation of linear momentum yields 4/25/2019 © 2017 Bahill

17 Simplified batted-ball speed
Compare this to the BaConLaw model 4/25/2019 © 2017 Bahill

18 Spiral center of mass model
This model is for the swing of the bat The BaConLaw and Effective Mass models are only for the collision 4/25/2019 © 2017 Bahill

19 New type of data Recent studies of bat and ball speed have used multiple video cameras and commercial prepackaged software to measure and compute bat speed These computer-camera system overlay pitch trajectories on television replays On television, the batted-ball speed is often called the exit speed, the exit velocity or the launch speed Instead of computing the speed and rotation of the center of mass of the bat, as in the free-end collision models, they compute the speed of the knob of the bat 4/25/2019 © 2017 Bahill

20 Linear, angular and total bat speeds for 20,000 swings by male professional batters
Variable SI units Baseball units Linear knob speed, 4.5 m/s, 10.1 mph, Angular rotation speed, 41 rad/s, 387 rpm, Total speed at the center of mass 27.9 m/s, 62.3 mph, Total speed at the sweet spot 33.3 m/s, 74.5 mph, 4/25/2019 © 2017 Bahill

21 Sliding pin model Not a free-end collision
Batter is holding the knob end 4/25/2019 © 2017 Bahill

22 Sliding pin joint 4/25/2019 © 2017 Bahill

23 Purpose The Sliding Pin model models a new type of data
Previously the input data were the translational and rotational velocities at the center of mass of the bat. The Sliding Pin model will use the translational and rotational velocities at the knob. 4/25/2019 © 2017 Bahill

24 A new coefficient of restitution
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25 The input/output equations
The 14 page derivation process is the same as for the BaConLaw model. The equations may look the same, but they are different. 4/25/2019 © 2017 Bahill

26 Simplified equations 4/25/2019 © 2017 Bahill

27 Sliding Pin simulation
SI units (m/s, rad/s) Baseball units (mph, rpm) Inputs -37.1 -83.0 209 2000 4.5 10 41 387 0.453  0.453 Outputs 37.2 83.4 -7 -17 18 175 4/25/2019 © 2017 Bahill

28 4/25/2019 © 2017 Bahill

29 Comparison of Sliding Pin and BaConLaw models
4/25/2019 Comparison of Sliding Pin and BaConLaw models Sliding Pin model  SI units (m/s, rad/s) Baseball units (mph, rpm) Inputs -37.1 -83.0 209 2000 4.5 10 41 387  0.453 0.453 Outputs 37.2 83.4 -7 -17 18 175  BaConLaw model SI units Baseball units Inputs -37 -83 209 2000 23 52 32 309 28 62  0.465 0.465 Outputs 41 92 11 24 1 7 4/25/2019 © 2017 Bahill

30 Collision with friction
Newton’s axioms and Conservation of Momentum both yield the same equation 4/25/2019 © 2017 Bahill

31 Purpose To present the Collision with Friction model, which our modeling technique can not handle, because our model is only good for a point before the collision and a point after the collision. It cannot handle behavior during the collision. The first purpose of this book to show a complex configuration for which our technique works. The BaConLaw model did this. to show a configuration for which our technique does not work. The Collision with Friction model does this. 4/25/2019 © 2017 Bahill

32 Collision with Friction model
SI units (m/s or rad/s) Baseball units, mph or rpm Inputs -37 -83 28 62 Results 209 2000 222 2126 13 126 -209 -2000 -196 -1874 4/25/2019 © 2017 Bahill

33 Actual bat-ball collision
We assumed that the ball slides across the bat However, it could slip, slide, roll or grip the bat 4/25/2019 © 2017 Bahill

34 Summary of Collision with Friction model
Although the equations are consistent, the model is not valid because behavior during the collision is unknown. Our model is only good for a point before and a point after the collision. It is not valid during the collision. The BaConLaw model fulfilled part of a purpose of this book: it showed a the most complex configuration for which our technique works. The Collision with Friction model completed the fulfillment of this purpose by showing a configuration for which our technique was too simple. This is an important section because few studies show failures. In this section, I show a failure. I tried to model an event, but was unsuccessful. Then I explain why I was unsuccessful. 4/25/2019 © 2017 Bahill

35 Summary 4/25/2019 © 2017 Bahill

36 BaConLaw model The BaConLaw model assumes a free-end collision
4/25/2019 © 2017 Bahill

37 Effective mass model Assumes a free-end collision 4/25/2019
© 2017 Bahill

38 Spiral center of mass model
4/25/2019 © 2017 Bahill

39 New type of data Variable SI units Baseball units Linear knob speed,
4.5 m/s, 10.1 mph, Angular rotation speed, 41 rad/s, 387 rpm, 4/25/2019 © 2017 Bahill

40 Sliding pin model Not a free-end collision 4/25/2019 © 2017 Bahill

41 Actual bat-ball collision
We assumed that the ball slides across the bat However, it could slip, slide, roll or grip the bat 4/25/2019 © 2017 Bahill

42 Collision with friction
This collision cannot be modeled using only Newton’s axioms and the Conservation of Momentum 4/25/2019 © 2017 Bahill

43 4/25/2019 © 2017 Bahill


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