Cutting Force Regression Modeling Approach for Turning Hastelloy X Alloy by Genetic Algorithms

摘要：

According to tradition empirical formula form, the cutting force regression model for turning Hastelloy X alloy is assigned for the exponential form. Turning experiments were carried out based on the experimental plan designed on the principle of the quadratic rotary combination design technique. By identifying regression coefficient using genetic algorithm toolbox in MALAB7.1, cutting force regression models were established. The rule that the prediction models reveal is identical with both visual analyses result of experiment data and tradition basic cutting theory, in addition the residual error is smaller, so the regression models are fitted very well.

关键词： cutting force turning experiment regression model coefficient 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 Software and Computing Technology(2010年软件与计算机技术国际会议 ICSCT 2010)

会议地点: 昆明

会议语种:英文

页码: 158-161

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）