Parameters optimization in electrical discharge machining based on grey theory

Wu Wen*, Xi Bin Wang, Zhen Hai Long, Hong Jian Yang, Yong Hong Ji

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

2 引用 (Scopus)

摘要

Studies the influence of electric parameters on machining targets in achieving parameter optimization, when electrical discharge machining oil supply tank with copper electrodes. Some parameters such as processing speed, electrode wear speed, machining gap and relative wear ratio are chosen as machining targets, applying grey theory to analyze the correlation degree between electric parameters and machining targets. Grey theory is put forward to optimize electric parameters, obtaining optimized parameters in single-object and multi-objects. Experimental results indicated that optimized parameters have a distinct effect on reducing electrode wearing speed and relative wear when adopting the optimized parameters.

源语言英语
页(从-至)592-595
页数4
期刊Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
29
7
出版状态已出版 - 7月 2009

指纹

探究 'Parameters optimization in electrical discharge machining based on grey theory' 的科研主题。它们共同构成独一无二的指纹。

引用此

Wen, W., Wang, X. B., Long, Z. H., Yang, H. J., & Ji, Y. H. (2009). Parameters optimization in electrical discharge machining based on grey theory. Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology, 29(7), 592-595.