Research and Application of Milling Parameters Optimization Based on Genetic Algorithm-Reference-Cited by-同舟云学术

Research and Application of Milling Parameters Optimization Based on Genetic Algorithm

Published:2015-03 Issue: Volume:1095 Page:820-823
ISSN:1662-8985
Container-title:Advanced Materials Research
language:
Short-container-title:AMR

Author:

Hu Min Min¹,Zhang Yu¹,Yuan Sheng Wan¹

Affiliation:

1. Kunming University of Science and Technology

Abstract

At present a number of machinery factories select cutting parameters mainly rely on the experience in China. In order to get the reasonable cutting parameters and then have a optimal machining surface quality, high production efficiency and low production cost. In this paper, using genetic algorithm and Matlab software [1] to optimize cutting parameters of milling and combining with the actual cutting test in factory to verify the optimized data. And then provide theory basis and feasible measure for milling.

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Link

https://www.scientific.net/AMR.1095.820.pdf

Reference5 articles.

1. Zhou Kaili, Deng Chunhui. MATLAB and Its Application Guide[M]. Beijing: Peking University press, (2007).

2. Li Qi, Guo Cheng. Study on the optimization of cutting parameters based on genetic algorithm[J]. Machinery manufacturing. 2004. 2.

3. Li Shiyong. The principle and application of intelligent optimization algorithm[M]. Harbin: Harbin Institute of Technology press, (2012).

4. Ai Xing. Manual cutting[M]. Beijing: China Machine Press, (1994).

5. Liang Yanchun, Wu chunguo. Intelligent optimizational gorithm and Application[M]. Beijing: Science Press, (2009).

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Software Optimization of Welding Machine Motion System Based on Switch Control Algorithm;Mobile Information Systems;2022-06-22