A Prediction Model and Experimental Study of Internal Gear Power Honing Force Based on Improved Wolf Colony Algorithm

摘要：

　　In order to study the influence rules of processing parameters including the workpiece speed,the feed rate in X direction and the feed speed of the X-axis on the internal gear power honing force.The Box-Behnken design method was used to design the internal gear power honing test.Based on the monitoring data of the radial honing force,the prediction modle of the honing force is established based on the multiple linear regression.The variance analysis method was used to test the fitting degree of the prediction model and the significance of the independent input parameters.Taking the honing force prediction model as the objective function,the processing parameters range and the actual production processing time are the constraint conditions,based on the improved wolves algorithm,the machining parameters of the internal gear power honing are improved.The results show that it is feasible to choose the best combination of honing parameters to achieve the minimum honing force within a reasonable machining time range.

关键词： Internal Gear Power Honing Honing Force The Box-Behnken design method multiple linear regression Wolf Colony Algorithm

作者: Sun Chaohong Xia lian Yuan bin Han jing

作者单位: School of Mechanical Engineering,Hefei University of Technology,hefei,230009,China

会议类型: 国际会议

会议名称: 第十七届国际制造会议(The 17th International Manufacturing Conference in China)(IMCC 2017))

会议地点: 深圳

会议语种:英文

页码: 1-6

在线出版日期: 2017-11-23（万方平台首次上网日期，不代表论文的发表时间）