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机床热误差温度测点优化和补偿建模研究现状
引用本文:罗立辉,郭建钢,苏继龙.机床热误差温度测点优化和补偿建模研究现状[J].机床与液压,2006(9):52-53,51.
作者姓名:罗立辉  郭建钢  苏继龙
作者单位:福建农林大学机电工程学院,福州,350002
摘    要:机床热误差是影响机床加工精度稳定性的最大误差源,因此减小热误差对提高机床的加工精度至关重要。本文综述了关于机床温度测点位置优化方法和热误差补偿建模的方法,并对几种方法进行了比较,阐述了各方法的优缺点最后给出了运用其它方法来解决此类问题的思路。

关 键 词:数控机床  测点优化  鲁棒建模  热误差补偿  神经网络
文章编号:1001-3881(2006)9-052-2
收稿时间:2005-07-11
修稿时间:2005-07-11

Study on Actuality of the Method of Temperature Measurement Point Optimization and Compensating Model for the Thermal Error on Machine Tools
LUO Lihui,GUO Jiangang,SU Jilong.Study on Actuality of the Method of Temperature Measurement Point Optimization and Compensating Model for the Thermal Error on Machine Tools[J].Machine Tool & Hydraulics,2006(9):52-53,51.
Authors:LUO Lihui  GUO Jiangang  SU Jilong
Abstract:The thermal error on machine tools is the biggest error source of effecting the stability of machining precision of machine tools, so it is vital to reduce the thermal error for increasing the machining precision. The methods about temperature measurement point optimization and establishing compensating model of thermal error were introduced and these methods were compared. And the advantage and disadvantage of them were expatiated. The prospect of using some other methods to resolve this kind of problem was given.
Keywords:NC machine tool  Measure point optimization  Robust modeling  Thermal error compensation  Neural network
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