The Analysis and Research about Temperature and Thermal Error Measurement Technology of CNC Machine Tool

2008 ◽  
Vol 392-394 ◽  
pp. 40-44 ◽  
Author(s):  
C. Xie ◽  
Werner Roddeck ◽  
Chun Shi Liu ◽  
Wei Min Zhang

The existing problems of temperature measurement for CNC machine tool are pointed out through analyzing research results of temperature measurement methods, temperature measurement points optimum and temperature variables selection technology. The devices and properties of contact and non-contact temperature measurement are compared and evaluated. The error measurement devices and their technology development of CNC machine tool are described. The measurement methods and results of temperature and error are analyzed by testing on a concrete CNC machine tool. It is concluded that some objective rules exist in various machine tools. The locations of sensitive points for temperature and errors as well as its number can be defined.

2015 ◽  
Vol 23 (5) ◽  
pp. 1401-1408
Author(s):  
何振亚 HE Zhen-ya ◽  
傅建中 FU Jian-zhong ◽  
陈子辰 CHEN Zi-chen

2010 ◽  
Vol 455 ◽  
pp. 621-624
Author(s):  
X. Li ◽  
Y.Y. Yu

Because of the practical requirement of real-time collection and analysis of CNC machine tool processing status information, we discuss the necessity and feasibility of applying ubiquitous sensor network(USN) in CNC machine tools by analyzing the characteristics of ubiquitous sensor network and the development trend of CNC machine tools, and application of machine tool thermal error compensation based on USN is presented.


2016 ◽  
Vol 24 (10) ◽  
pp. 2480-2489 ◽  
Author(s):  
苗恩铭 MIAO En-ming ◽  
刘 义 LIU Yi ◽  
董云飞 DONG Yun-fei ◽  
陈维康 CHEN Wei-kang

2013 ◽  
Vol 303-306 ◽  
pp. 1782-1785
Author(s):  
Chong Zhi Mao ◽  
Qian Jian Guo

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 to 5 after compensation.


2012 ◽  
Vol 510 ◽  
pp. 23-27 ◽  
Author(s):  
Zhong Qi Sheng ◽  
Zong Xiao Zhu ◽  
Chang Chun Liu ◽  
Chao Biao Zhang

The main heat source of the spindle system of CNC machine tool has been analyzed. The friction heat of the motor as well as the bearing has been calculated. This paper established the finite element model of the spindle system of a precise CNC turning center, and used ANSYS to analyze the steady temperature field of the spindle system and the thermal deformation of the spindle. Finally, this paper proposed a solution to install a cooling sleeve in front of the spindle box, which can apparently reduce the thermal error of machine spindle.


2010 ◽  
Vol 135 ◽  
pp. 170-173 ◽  
Author(s):  
Qian Jian Guo ◽  
Jian Guo Yang

Four key temperature points of a CNC machine tool were obtained in this paper, and a thermal error model based on the four key temperature points was proposed by using based back propagation neural network. A thermal error compensation system was developed based on the proposed model, and which has been applied to the CNC machine tool in daily production. The results show that the thermal error in workpiece diameter has been reduced from 33 to 6 .


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