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基于最优分割和逐步回归方法的机床热误差建模方法研究
引用本文:朱睿,朱永炉,陈真,郭隐彪.基于最优分割和逐步回归方法的机床热误差建模方法研究[J].厦门大学学报(自然科学版),2010,49(1).
作者姓名:朱睿  朱永炉  陈真  郭隐彪
作者单位:厦门大学物理与机电工程学院,福建,厦门,361005
基金项目:福建省科技重大专项/专题 
摘    要:根据机械结构的基本热变形模式,分析加工过程中的机床热误差模态,对温度测点进行初步选择.通过最优分割法优化温度测点和逐步回归法建模,将温度测点个数从初始的16个减少到3个热关键点.机床热误差模型拟合结果与实际热误差测量结果进行比较,检验结果说明该热误差模型精确度优良.

关 键 词:热误差模态  最优分割法  逐步回归  热关键点  热误差模型

Optimal Partition Method & Stepwise Regression Based Thermal Error Modeling for a Machine Tool
ZHU Rui,ZHU Yong-lu,CHEN Zhen,GUO Yin-biao.Optimal Partition Method & Stepwise Regression Based Thermal Error Modeling for a Machine Tool[J].Journal of Xiamen University(Natural Science),2010,49(1).
Authors:ZHU Rui  ZHU Yong-lu  CHEN Zhen  GUO Yin-biao
Institution:ZHU Rui,ZHU Yong-lu,CHEN Zhen,GUO Yin-biao~* (School of Physics , Mechanical & Electrical Engineering,Xiamen University,Xiamen 361005,China)
Abstract:In this paper a novel concept of thermal error modes analysis is proposed to develop a better understanding of the thermal deformation on a machine tool.The basic thermal error modes for a structural element are the thermal expansion and bending mode. The selection of sensors location can be improved based on the thermal error modes analysis with finite element method for reference. Through optimal partition method and stepwise regression,key temperature variables are identified,the number of thermal sensor...
Keywords:thermal error mode  optimal partition  stepwise regression  key temperature variable  thermal error model
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