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A MECHANICS-BASED APPROACH FOR PUTT DISTANCE OPTIMIZATION
- Date Issued:
- 2015
- Abstract/Description:
- Quantifying the core mechanics of putting is imperative to developing a reliable model that predicts post-collision ball behavior. A preliminary model for the stroking motion of putting and putter-ball collision is developed alongside experiments, establishing an empirical model that supports the theory. The goal of the present study is to develop a correlation between the backstroke of a putt, or the pre-impact translation of the putter, and the post-impact displacement of the golf ball. This correlation is subsequently utilized to generate an algorithm that predicts the two-dimensional ball trajectory based on putt displacement and putting surface texture by means of finite element analysis. In generating a model that accurately describes the putting behavior, the principles of classical mechanics were utilized. As a result, the putt displacement was completely described as a function of backstroke and some environmental parameters, such as: friction, slope of the green, and the elasticity of the putter-ball collision. In support of the preliminary model, experimental data were gathered from golfers of all levels. The collected data demonstrated a linear correlation between backstroke and putt distance, with the environmental parameters factoring in as a constant value; moreover, the data showed that experienced golfers tend to have a constant acceleration through ball impact. Combining the empirical results with the trajectory prediction algorithm will deliver an accurate predictor of ball behavior that can be easily implemented by golfers under most practical applications. Putt distance to backstroke ratios were developed under a variety of conditions
Title: | A MECHANICS-BASED APPROACH FOR PUTT DISTANCE OPTIMIZATION. |
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Name(s): |
Santiago-Martinez, Pascual, Author Gordon, Ali, Committee Chair University of Central Florida, Degree Grantor |
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Type of Resource: | text | |
Date Issued: | 2015 | |
Publisher: | University of Central Florida | |
Language(s): | English | |
Abstract/Description: | Quantifying the core mechanics of putting is imperative to developing a reliable model that predicts post-collision ball behavior. A preliminary model for the stroking motion of putting and putter-ball collision is developed alongside experiments, establishing an empirical model that supports the theory. The goal of the present study is to develop a correlation between the backstroke of a putt, or the pre-impact translation of the putter, and the post-impact displacement of the golf ball. This correlation is subsequently utilized to generate an algorithm that predicts the two-dimensional ball trajectory based on putt displacement and putting surface texture by means of finite element analysis. In generating a model that accurately describes the putting behavior, the principles of classical mechanics were utilized. As a result, the putt displacement was completely described as a function of backstroke and some environmental parameters, such as: friction, slope of the green, and the elasticity of the putter-ball collision. In support of the preliminary model, experimental data were gathered from golfers of all levels. The collected data demonstrated a linear correlation between backstroke and putt distance, with the environmental parameters factoring in as a constant value; moreover, the data showed that experienced golfers tend to have a constant acceleration through ball impact. Combining the empirical results with the trajectory prediction algorithm will deliver an accurate predictor of ball behavior that can be easily implemented by golfers under most practical applications. Putt distance to backstroke ratios were developed under a variety of conditions | |
Identifier: | CFH0004764 (IID), ucf:45340 (fedora) | |
Note(s): |
2015-05-01 B.S.M.E. Engineering and Computer Science, Dept. of Mechanical, Materials and Aerospace Engineering Bachelors This record was generated from author submitted information. |
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Subject(s): |
putt putting golf golfing mechanics dynamics sports matlab fem finite element analysis algorithm green green speed stimpmeter |
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Persistent Link to This Record: | http://purl.flvc.org/ucf/fd/CFH0004764 | |
Restrictions on Access: | public | |
Host Institution: | UCF |