摘要
为消除数控微磨床热误差对加工精度的影响,提出了基于多元回归理论的数控微磨床热误差在线补偿方法。针对自行设计的数控微磨床建立热误差模型,采用TC-3型温度测试仪和激光干涉仪分别获取微磨床热敏感点的温度数据与刀具主轴变形量;根据多元回归理论,通过计算判定系数和残差平方和来选取热误差模型的最佳变量组合。实验结果表明:运用多元回归理论,以最佳变量组合来建模,能够显著提高热误差建模精度。微磨床刀具主轴的径向热误差由8μm减少至1μm以内。
In order to eliminate influence of NC micro-grinder thermal errors on machining accuracy,an online compensation method for the thermal errors of NC micro-grinder was proposed based on multiple regression theory.Aiming at the self-designed NC micro-grinder,the model of thermal errors was established.By using TC-3 temperature tester and laser interferometer,the temperature data of heat-sensitive point and the deformation of the tool spindle of micro-grinder were obtained separately.According to multiple regression theory,through computing the determination coefficient and squares sum of residual errors,the best combinations of variables were selected.Experimental results show that,by using multiple regression theory,with the best combinations of variables to model,the accuracy of thermal error model can be improved significantly.The radial thermal error of tool spindle of micro-grinder is reduced from 8 μm to 1 μm.
出处
《机床与液压》
北大核心
2013年第15期42-44,49,共4页
Machine Tool & Hydraulics
基金
辽宁省工业攻关计划资助项目(2011220009)
关键词
数控微磨床
多元回归理论
热误差在线补偿
最佳变量组合
NC micro-grinder
Multiple regression theory
Online compensation of thermal error
Best combinations of variables
