Modeling of Drilling Forces Based on Twist Drill Point Angles Using Multigene Genetic Programming

Myong-Il Kim and Ping Zou

Mathematical Problems in Engineering, 2016, vol. 2016, 1-9

Abstract:

The mathematical model was developed for predicting the influence of the drill point angles on the cutting forces in drilling with the twist drills, which was used to optimize those angles for reducing drilling forces. The approach was based on multigene genetic programming, for the training data, the grinding tests of twist drill were firstly conducted for the different drill point angles in Biglide parallel machine, and then drilling tests were performed on carbon fiber reinforced plastics using the grinded drills. The effectiveness of the proposed approach was verified through comparing with published data. It was found that the proposed model agreed well with the experimental data and was useful for improving the performance of twist drill.

Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:6749182

DOI: 10.1155/2016/6749182

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