Thermal Error Exponential Model of CNC Machine Tools Motorized Spindle Based on Mechanism Analysis

被引：3
|
作者：
Zhang, Xiaomei [1 ,2 ]
Yu, Shiyu [1 ]
Lou, Ping [1 ,2 ]
Jiang, Xuemei [1 ,2 ]
Hu, Jiwei [1 ,2 ]
Yan, Junwei [1 ,2 ]
机构：
[1] WUT, Sch Informat Engn, Wuhan, Peoples R China
[2] Hubei Key Lab Broadband Wireless Commun & Sensor, Wuhan, Peoples R China
来源：
2019 11TH INTERNATIONAL CONFERENCE ON INTELLIGENT HUMAN-MACHINE SYSTEMS AND CYBERNETICS (IHMSC 2019), VOL 1 | 2019年
关键词：
motorized spindle; temperature field; thermal deformation; mechanism analysis; pattern recognition; exponential model; COMPENSATION;
D O I：
10.1109/IHMSC.2019.00074
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In order to predict the thermal error of the CNC machine tool motorized spindle more precisely, this paper analyzes the mechanism of motorized spindle temperature field and thermal deformation. A thermal error exponential model of the motorized spindle is proposed in terms of pattern recognition and mechanism analysis. Firstly, the thermal characteristics of the motorized spindle are analyzed, and the exponential mathematical model of the motorized spindle temperature field and thermal error is derived. Then, optimizing the parameters of the exponential model by model-based parameter estimation method. Finally, the performance of the exponential model is verified on a CNC machine tool. The results show that the method is precise in predicting the temperature filed and thermal deformation of the motorized spindle during the heating and cooling process.
引用
收藏
页码：291 / 295
页数：5
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