Applying data mining technology to solve the problem of physics: A case study

作者：Zhu Ke^*; Zhang Jin; Wang Tianyi

来源：Journal of Convergence Information Technology, 2012, 7(20): 351-358.

DOI：10.4156/jcit.vol7.issue20.42

• A-spots
• Ball speed
• Classical dynamics
• Collision model
• Data mining technology
• Empirical findings
• Mathematic model
• Maximum power
• Reasonability
• Sweet spot

Every hitter knows that there is a spot on the fat part of a baseball bat where maximum power is transferred to the ball when hit. Why isn't this spot at the end of the bat? A simple explanation based on torque might seem to identify the end of the bat as the sweet spot, but this is known to be empirically incorrect. This paper develops a model that helps explain this empirical finding. We consider sweet spot as the spot that outputs greatest hit ball speed. Firstly, we simplified the collision between ball and bat to a free collision model, and applying laws of classical dynamics to find the position of sweet spot. According to the rules of the game, we chose parameters and used Maple 13.0 to do the calculation and plotting successfully. This paper also augments the model to confirm or deny this effect and predict different behavior for wood or metal bats. We found that "corking"affects the sweet spot effect to different extents due to the size of the hole and the density of the substance filled, which confirming the reasonability of the rules of MLB, and argued that baseball competitions should always set such kinds of rules.

• 出版日期2012