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

Author:

Kim Myong-Il12,Zou Ping1

Affiliation:

1. School of Mechanical Engineering & Automation, Northeastern University, Shenyang 110819, China

2. School of Mechanical Science & Technology, Kimchaek University of Technology, Pyongyang 999093, Democratic People's Republic of Korea

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.

Publisher

Hindawi Limited

Subject

General Engineering,General Mathematics

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