数控插齿机热误差模块化稳健性预测模型建立  

Establishment of Modular Robustness Prediction Model for Thermal Error of CNC Gear Shaper

作　　者：李淋 蔡站文 杨勇 李建刚[2] LI Lin;CAI Zhanwen;YANG Yong;LI Jiangang(College of Mechanical Engineering,Chongqing University of Technology,Chongqing 400054,China;School of Mechanical Engineering and Automation,Harbin Institute of Technology,Shenzhen Guangdong 518055,China)

机构地区：[1]重庆理工大学机械工程学院,重庆400054 [2]哈尔滨工业大学机电工程与自动化学院,广东深圳518055

出　　处：《机床与液压》2022年第8期26-30,共5页Machine Tool & Hydraulics

基　　金：国家重点研发计划(2019YFB1703700);重庆市技术创新与应用发展专项重点项目(cstc2019jscx-mbdxX0045);重庆市技术创新与应用发展专项重点项目(cstc2019jscx-mbdxX0016)。

摘　　要：针对数控插齿机固有的主轴进给系统结构带来的传动间隙引起波动性热变形建模预测精度不高的问题,提出一种基于均值平滑处理波动的模块化建模方法。利用模糊聚类结合灰色关联度方法和多元线性回归对该机床主轴x、y向分别建立热误差补偿模型,并计算预测残余值在不同分布范围的概率。结果表明:与传统热误差建模方法相比,模块化预测残余值在不同范围的分布较均匀,稳健性得到了有效提升,为热误差模块化建模方法提供了参考。Aiming at the problem of low prediction accuracy of fluctuating thermal deformation modeling caused by the transmission gap caused by the inherent spindle feed system structure of CNC gear shaper, a modular modeling method based on mean smoothing processing fluctuations was proposed.Fuzzy clustering combined with gray correlation degree method and multiple linear regression were used to establish thermal error compensation model for the x and y directions of the machine tool spindle, and the probabilities of the predicted residual value in different distribution ranges were calculated.The results show that compared with the traditional thermal error modeling method, the modular prediction residual value is more evenly distributed in different ranges, and the robustness of the proposed method has been effectively improved, which provides reference for thermal error modular modeling method.

关 键 词：数控插齿机 热误差 模块化 稳健性 

分 类 号：TH161.4[机械工程—机械制造及自动化]