车削温度多元回归模型的试验研究  

Testing study of multiple regression model based on turning temperature

作　　者：杨睿[1] 李顺才[1] 袁冠雷 吴明明[1] 

机构地区：[1]江苏师范大学机电工程学院,江苏徐州221116

出　　处：《实验技术与管理》2016年第8期59-62,共4页Experimental Technology and Management

基　　金：江苏省大学生实践创新训练计划项目(201410320033);江苏省研究生科研创新计划项目(kylx_1433)

摘　　要：采用控制变量法对工件进行不同车削参数下的车削试验,利用红外测温仪实时采集车刀刀尖附近的温度,得到不同车削参量下的温度-时间曲线及温度均值。基于最小二乘法拟合得到了车削温度均值关于车削速度、进给速度、背吃刀量的多元回归模型,分析了车削温度均值与3个车削参数的相关性。研究表明,在给定车削条件下该回归模型能基于车削参数较好地预测车刀温度均值。Using control variable method,the turning tests were conducted on the work-piece under different parameters,and the real-time temperatures near the turning point of the cutting tool were collected by using infrared thermometry.By the tests,the temperature-time curve and mean temperature under different parameters were obtained,and the multiple regression model of the mean temperature on turning speed,feed rate,back cutting depth was also established based on the least square method.This article analyzes the correlation between the mean turning temperatures with three parameters,and the measured temperature values are compared with the fitted values.The research shows that under the given condition,the regression model can better predict the mean cutting temperature based on the turning parameters.

关 键 词：车削温度 红外测温仪 车削参数 多元回归模型 

分 类 号：TG51[金属学及工艺—金属切削加工及机床]