Thermal Error Modeling of a CNC Machine Tool

被引：0
|
作者：
Mao, Chongzhi [1 ]
Guo, Qianjian [1 ]
机构：
[1] Shandong Univ Technol, Sch Mech Engn, Zibo, Peoples R China
来源：
SENSORS, MEASUREMENT AND INTELLIGENT MATERIALS, PTS 1-4 | 2013年 / 303-306卷
关键词：
Thermal error modeling; Error compensation; Neural network; CNC machine tool; COMPENSATION; NETWORK;
D O I：
10.4028/www.scientific.net/AMM.303-306.1782
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The purpose of this research is to improve the machining accuracy of a CNC machine tool through thermal error modeling and compensation. In this paper, a thermal error model based on back propagation networks (BPN) is presented, and the compensation is fulfilled. The results show that the BPN model improves the prediction accuracy of thermal errors on the CNC machine tool, and the thermal drift has been reduced from 15 mu m to 5 mu m after compensation.
引用
收藏
页码：1782 / 1785
页数：4
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