Surface Roughness Regression Modeling Approach for Turning Hastelloy X Alloy by Genetic Algorithms

摘要：

Turning Hastelloy X alloy experiments was carried out according to the experimental plan designed based on the quadratic rotary combination design technique. The regression model of average surface roughness (R.J is assigned for the exponential form. By identifying regression coefficient using genetic algorithm toolbox in MALAB7.1, a regression model of R, was obtained. The residual error of regression model is smaller, and the rule that the regression model reveals is identical with both visual analyses result of experiment data and experimental phenomena, so the regression model is fitted very well.

关键词： regression model surface roughness genetic algorithm Hastelloy X alloy

作者: Chao Yu Jianye Guo Yanli Zhang Jingkui Li

作者单位: School of Mechanical and Electrical Engineering Shenyang Aerospace University Shenyang,China

会议类型: 国际会议

会议名称: 2010 International Conference on Information,Networking and Automation(2010 IEEE信息网络与自动化国际会议 ICINA 2010)

会议地点: 昆明

会议语种:英文

页码: 416-419

在线出版日期: 2010-10-17（万方平台首次上网日期，不代表论文的发表时间）