Thermal behavior analysis and experimental study on the vertical machining center spindle

2020 ◽  
Vol 44 (3) ◽  
pp. 344-351
Author(s):  
Cheng Ming Kang ◽  
Chun Yu Zhao ◽  
Jun Qian Zhang
Keyword(s):  
Thermal Field ◽  
Thermal Error ◽  
Cnc Machining ◽  
Cnc Machine Tools ◽  
Cnc Machine ◽  
Thermal Errors ◽  
Spindle Rotation ◽  
Physically Based ◽  
Simulation And Experiment ◽  
Thermal Error Model

Thermal errors caused by spindle rotation is a major factor that influences the precision stability of CNC machine tools. To determine an effective method for reducing thermal errors, a thermal experiment was carried out on the spindle of a vertical drilling center. The thermal deformation mechanism and thermal error variations of the spindle are presented. Based on the generation, convection, and conduction theory of heat, the thermal field model of a spindle system is derived. The relationship between the thermal field and the radial thermal error is established using a physically based method. Finally, the effect of the thermal error model proposed is verified by both a simulation and experiment. The results recorded on the two CNC machining centers indicate that the average fitting accuracy of the theoretical model is up to 94.1%, which validates the high accuracy and strong robustness of the presented model.

Study on the Thermal Errors of CNC Machine Tools

2012 ◽  
Vol 472-475 ◽  
pp. 2918-2921
Author(s):  
Hong Qi Luo ◽  
Yue Hua Lai
Keyword(s):  
Machine Tools ◽  
Thermal Deformation ◽  
Thermal Error ◽  
External Heat ◽  
Cnc Machining ◽  
Cnc Machine Tools ◽  
Heat Sources ◽  
Cnc Machine ◽  
Thermal Errors ◽  
Machining Errors

Thermal deformation is produced by heat sources in CNC machine tools. Thermal error is one of the main parts in CNC machining errors. The internal and external heat sources were introduced. The research status about thermal errors was analyzed, including identification of thermal sensitive points, precaution against thermal errors and error compensation. Finally, thermal error models were summarized and discussed.

Thermal Error Modeling of a CNC Machine Tool

2013 ◽  
Vol 303-306 ◽  
pp. 1782-1785
Author(s):  
Chong Zhi Mao ◽  
Qian Jian Guo
Keyword(s):  
Machine Tool ◽  
Back Propagation ◽  
Thermal Error ◽  
Error Modeling ◽  
Machining Accuracy ◽  
Cnc Machine Tool ◽  
Cnc Machine ◽  
Thermal Error Modeling ◽  
Thermal Errors ◽  
Thermal Error Model

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.

scholarly journals Thermal Errors Classification Compensation without Sensor for CNC Machine Tools

2018 ◽  
Vol 2018 ◽  
pp. 1-11
Author(s):  
Xian Wei ◽  
Feng Gao ◽  
Yan Li ◽  
Dongya Zhang
Keyword(s):  
Theoretical Model ◽  
Machine Tools ◽  
Prediction Models ◽  
Rotational Velocity ◽  
Thermal Error ◽  
Temperature Sensors ◽  
Cnc Machine Tools ◽  
Error Prediction ◽  
Cnc Machine ◽  
Thermal Errors

Both multicollinearity and utilization deficiency of temperature sensors affect the robustness and the prediction precision of traditional thermal error prediction models. To address the problem, a thermal error prediction model without temperature sensors is proposed. Firstly, the paper analyzes the temperature field and thermal deformation mechanisms of the spindle of a CNC gear grinding machine in accordance with the parameters, efficiencies, and structures of the machine spindle and bearing. A preliminary theoretical model is established on the basis of the mechanism analysis. Secondly, the theoretical model is corrected according to the actual operation parameters of the machine. Thirdly, verification experiments are carried out on machine tools of the same type. It is found that the corrected model has higher precision in predicting thermal errors at the same rotational velocity. The standard deviation and the maximum residual error are reduced by at least 39% and 48% separately. The prediction precision decreases with the increase in prediction range when predicting thermal errors at different rotational velocities. The model has high prediction precision and strong robustness in the case of reasonable prediction range and classified prediction. In a word, prediction precision and robustness of the model without temperature sensors can be effectively ensured by reasonably determining the prediction range and practicing classified prediction and compensation for thermal errors at different rotational velocities. The model established can be applied to machine tools that have difficulties in arranging sensors or those whose sensors are significantly disturbed.

Thermal Error Robust Modeling and Real Time Compensation Based on the GA-BPN Theory on a Vertical Machine Centre

2010 ◽  
Vol 97-101 ◽  
pp. 3211-3214 ◽  
Author(s):  
Xiu Shan Wang ◽  
Yan Li ◽  
Yong Chang Yu
Keyword(s):  
Error Compensation ◽  
Thermal Error ◽  
Error Modeling ◽  
Machining Process ◽  
Field Analysis ◽  
Cnc Machine Tools ◽  
Thermal Errors ◽  
Machining Center ◽  
Thermal Error Model ◽  
Thermal Error Compensation

Thermal errors generally account for as much as 70% of the total errors of CNC machine tools, are the most contributor to the workpiece dimensional precision in precision machining process. Thermal error compensation is an effective way to decreasing thermal errors. Precision mode is a key to thermal error compensation. In this paper thermal error modeling method based on the artificial neural networks (ANN) algorithm is applied for a vertical machining center. Four key temperature points of a vertical machining center were obtained based on the temperature field analysis. A novel genetic algorism-Back propagation neural network (GA-BPN) thermal error model was proposed on the basis of four temperature points. The emulations and experiments prove that there was about a 60% increase in machine tool precision.

Precision Enhancement of Ucp710 5-Axis Machine Tool by Real Time Thermal Error Compensation

2008 ◽  
Vol 375-376 ◽  
pp. 539-543 ◽  
Author(s):  
Xiu Shan Wang ◽  
Jin Hua Shen ◽  
Jian Guo Yang
Keyword(s):  
Machine Tool ◽  
Error Compensation ◽  
Thermal Error ◽  
Temperature Fields ◽  
Cnc Machine Tools ◽  
Cnc Machine ◽  
Sensing Systems ◽  
Thermal Error Model ◽  
Thermal Error Compensation ◽  
Very High

The thermal error model of the ucp710 5-axis machine tool was acquired by the homogeneous coordinate transformation, and includes 17 thermal error components. The thermal behavior of the ucp710 machine tool has been tested and the temperature fields were recorded by the compensation control and temperature sensing systems. The developed compensation system has been applied to the ucp710 5-axis machine tool, and the accuracy has been improved about 1 times after compensation, demonstrating a very high potential for the error compensation of CNC machine tools.

Application of Ubiquitous Sensor Network in Collection and Analysis of CNC Machine Tool Processing Status Information

2010 ◽  
Vol 455 ◽  
pp. 621-624
Author(s):  
X. Li ◽  
Y.Y. Yu
Keyword(s):  
Machine Tool ◽  
Sensor Network ◽  
Machine Tools ◽  
Thermal Error ◽  
Development Trend ◽  
Cnc Machine Tools ◽  
Cnc Machine Tool ◽  
Cnc Machine ◽  
Status Information ◽  
The Development Trend

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.

Application of principal component algorithm in spindle thermal error modeling of CNC machine tools

2021 ◽  
Vol 29 (11) ◽  
pp. 2649-2660
Author(s):  
Xin-yuan WEI ◽  
◽  
Yu-chen CHEN ◽  
En-ming MIAO ◽  
Xu-gang FENG ◽  
...  
Keyword(s):  
Machine Tools ◽  
Thermal Error ◽  
Principal Component ◽  
Error Modeling ◽  
Cnc Machine Tools ◽  
Cnc Machine ◽  
Thermal Error Modeling
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