Modeling and Compensation of the Thermal Error on Feed Drive System of CNC Grinding Machine

2016 ◽  
Vol 679 ◽  
pp. 19-22
Author(s):  
W.C. Peng ◽  
Su Juan Wang ◽  
Hong Jian Xia

Thermal errors cause serious dimensional errors to a workpiece in precision machining. A feed drive system generates more heat through friction at contact areas, such as the Linear encoder and the guide, thereby causing thermal expansion which affects machining accuracy. Therefore, the thermal deformation of a Linear encoder is one of the most important objects to consider for high-accuracy machine tools. This paper analyzes the increase of the temperature and the thermal deformation of a Linear encoder feed drive system. During temperature variation is measured by using thermocouples , meanwhile, the thermal error of the guide is measured by a laser interferometer. A thermal error model is proposed in this study by using back propagation neural network (BPN). An experiment is carried out to verify the thermal error of the guide under different feed rates and environmental temperature.

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.


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 .


2012 ◽  
Vol 426 ◽  
pp. 293-296
Author(s):  
Qian Jian Guo ◽  
Jian Guo Yang

Thermal error modeling. Neural network. Gear hobbing machine. Error compensation. Abstract. Four key thermal sources of YK3610 hobbing machine were selected in this paper, and a thermal error model based on the four temperature variables was proposed by using back propagation neural network. A thermal error compensation system was developed based on the proposed model, and which has been applied to the YK3610 hobbing machine in daily production. The result shows that the prediction accuracy of thermal deformation in the YK3610 hobbing machine has been improved.


Author(s):  
Hui Liu ◽  
XiaoJun Yang ◽  
Huijie Zhang ◽  
Wanhua Zhao ◽  
Jun Zhang ◽  
...  

In this paper, the servo thrust and mechanical structure are analyzed in frequency domain using Maxwell Tensor and Dale Bert’s principle, respectively. Three modes of mechatronic coupling are found as follows. 1) The thrust spectrum varies with velocity, which leading to a worse dynamic precision and even instability when the coupling occurs at a certain resonance frequency between the thrust and the mechanical structure; 2) The coupling occurs between mechanical structure and servo system when adjusting the gain in speed control loop or current control loop. 3) The output of linear encoder will fluctuate due to the variation of normal force between the mover and stator, which leading to the variation of the servo thrust spectrum and a re-coupling between servo drive and mechanical structure. In addition, the mechanism and influence factors of the three types of coupling are studied, respectively. The results show that the spectrums of servo drive system and mechanical structure evolve under different control parameters and operational condition, and happen to interaction once at the same natural frequency. Finally, the associated experiments are performed to verify the previous analysis.


Author(s):  
Yang Li ◽  
Dongxu Su ◽  
Xin Cai ◽  
Wenwu Wu ◽  
Jun Zhang ◽  
...  

As one of the most important part of the machine tool, thermal behaviors of the ball screw feed drive system has great effect on the positioning accuracy and machining accuracy. Finite element method is widely used for simulating the temperature of the ball screw under various working conditions. In this paper, in order to improve the simulation accuracy, the moving heat loads are considered in the finite element model, and the response surface methodology is proposed to optimize the boundary conditions. The correctness and effectiveness of the method are verified by experimental data. In addition, according to the temperature simulation results of the ball screw feed drive system, thermal equilibrium is defined and the factors which have influenced on it are analyzed.


Author(s):  
Jun Zhang ◽  
Bo Li ◽  
Changxing Zhou ◽  
Wanhua Zhao

For semi-closed-loop computer numerical control machine tool, the pitch error of screw caused by thermal expansion can deteriorate the positioning accuracy of ball screw feed drive system. This study presents different prediction models for positioning error of ball screw feed drive system based on the mounting condition, where the total error is separated into geometric error and thermal error. The coefficients in the model are identified using the multiple linear regression method. The prediction model is validated and the error compensation is also done for the X axis of a three-axis computer numerical control milling machine. The test results show that the model developed can well predict the thermal error under any given temperature as well as position during the temperature rising process of ball screw, and it can greatly improve the system positioning accuracy through compensation.


1999 ◽  
Vol 39 (7) ◽  
pp. 1087-1101 ◽  
Author(s):  
Won Soo Yun ◽  
Soo Kwang Kim ◽  
Dong Woo Cho

2013 ◽  
Vol 694-697 ◽  
pp. 115-119
Author(s):  
Da Xing Zhao ◽  
Yong Yang ◽  
Wan Xu ◽  
Guo Long Ding ◽  
Ling Peng

High-speed high-precision CNC processing technology plays a very important position in the CNC machining industry,machine disturbance,however,an important factor affecting the machining accuracy,the ball screw feed drive as an important part of the machine directly affects the operating characteristics of the machine.Ball screw drive system,Solidworks,Ansys,Adams the establishment of machine tool,rigid-flexible couping the multibody dynamics model,the dynamic characteristic curve of the machine.Compared with the rigid body model simulation results verify the feasibility of rigid-flexible coupling modeling method,optimized to provide the basis of the structural design of the machine components.


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