Thermal error mode analysis and robust modeling for error compensation on a CNC turning center

1999 ◽  
Vol 39 (9) ◽  
pp. 1367-1381 ◽  
Author(s):  
Jianguo Yang ◽  
Jingxia Yuan ◽  
Jun Ni
Keyword(s):  
Error Compensation ◽  
Thermal Error ◽  
Mode Analysis ◽  
Robust Modeling ◽  
Cnc Turning ◽  
Turning Center

An Integrated Modeling Approach for ANN-Based Real-Time Thermal Error Compensation on a CNC Turning Center

2013 ◽  
Vol 664 ◽  
pp. 907-915 ◽  
Author(s):  
Abderrazak El Ouafi ◽  
Michel Guillot ◽  
Noureddine Barka
Keyword(s):  
Real Time ◽  
Error Compensation ◽  
Thermal Error ◽  
Operating Conditions ◽  
Design Stage ◽  
Thermally Induced ◽  
Cnc Turning ◽  
Modeling Approach ◽  
Turning Center ◽  
Thermal Error Compensation

Thermally induced errors play a critical role in controlling the level of machining accuracy. They can represent a significant proportion of dimensional errors in produced parts. Since thermal errors cannot totally be eliminated at the design stage, active errors compensation appears to be the most economical and realistic solution. Accurate and efficient modeling of the thermally induced errors is an indispensable part of the error compensation process. This paper presents an integrated and comprehensive modeling approach for real-time thermal error compensation. The modeling process is based on multiple temperature measurements, Taguchi’s orthogonal arrays, artificial neural networks and various statistical tools to provide cost effective selection of appropriate temperature variables and modeling conditions as well as to achieve robust and accurate thermal error models. The experimental results on a CNC turning center confirm the feasibility and efficiency of the proposed approach and show that the resultant model can accurately predict the time-variant spindle thermal drift errors under various operating conditions. After compensation, the thermally induced spindle errors were reduced from 19m to less than 1 m. The proposed modeling optimization strategy can be effectively and advantageously used for real-time error compensation since it presents the benefit of straightforward application, reduced modeling time and uncertainty.

Application of PPR to Thermal Error Modeling of an INDEX-G200 Turning Center

2011 ◽  
Vol 189-193 ◽  
pp. 4145-4148
Author(s):  
Qian Jian Guo ◽  
Lei He ◽  
Guang Ming Zhu
Keyword(s):  
Error Compensation ◽  
Projection Pursuit ◽  
Thermal Error ◽  
Cost Effective ◽  
Error Modeling ◽  
Thermal Errors ◽  
Turning Center ◽  
Compensation Technique ◽  
Dimensional Errors ◽  
Thermal Error Model

Thermal errors are the major contributor to the dimensional errors of a workpiece in precision machining. Error compensation technique is a cost-effective way to reduce thermal errors. Accurate modeling of errors is a prerequisite of error compensation. In this paper, a thermal error model was proposed by using projection pursuit regression (PPR). The PPR method improves the prediction accuracy of thermal deformation in the CNC turning center.

Thermal Characteristic Analysis on a High Precision Turning Center’s Headstock

2013 ◽  
Vol 655-657 ◽  
pp. 305-309
Author(s):  
Yao Man Zhang ◽  
Ren Jun Gu ◽  
Jia Liang Han
Keyword(s):  
High Precision ◽  
Error Compensation ◽  
Thermal Characteristic ◽  
Thermal Characteristics ◽  
Thermal Error ◽  
Linear Regression Method ◽  
Characteristic Analysis ◽  
Precision Turning ◽  
Turning Center ◽  
Thermal Error Compensation

The performances of the high precision turning center will be influenced by the thermal characteristics of the headstock seriously, and accurately predict thermal characteristics of the headstock are helpful to improve the design level. The headstock of a high precision turning center produced by some plant has been regarded as the research objects of the paper. First the steady temperature distribution and thermal deformation of the headstock were calculated based the finite element analysis models of the headstock. Then the temperature sensitive points of the headstock were obtained by using the grey incidence analysis method. Finally the thermal error compensation model was built by using multiple linear regression method. The study lays a foundation for the thermal error compensation of the headstock of the turning center.

The Research of Thermal Error Compensation Technology for Turning Center Based on Grey System theory

2013 ◽  
Vol 299 ◽  
pp. 3-7
Author(s):  
Han Ying Sun ◽  
Xiu Chun Qiao ◽  
Jian Guo Yang
Keyword(s):  
System Theory ◽  
Real Time ◽  
Error Detection ◽  
Error Compensation ◽  
Thermal Error ◽  
Grey System Theory ◽  
Grey System ◽  
Key Points ◽  
Turning Center ◽  
Thermal Error Compensation

Based on grey system theory correlation analysis methods, to turning center as an example, the study for the thermal error, the detection of the temperature field, thermal point of error detection and real-time compensation technology optimized, key points of temperature on the machine location was carried out. The most key points of temperature sensors are optimized. A thermal error compensation system was set up, and real-time compensation for the processing of authentication. At this stage the results show that the compensation results are obvious.

Intelligent Error Compensation in CNC Machining through Synergistic Interactions Among Modeling, Sensing and Learning

2004 ◽  
Vol 471-472 ◽  
pp. 178-182 ◽  
Author(s):  
Zhan Qiang Liu ◽  
Jun Bo Zhang ◽  
Zhi Tao Tang
Keyword(s):  
Error Compensation ◽  
Operation Time ◽  
Cnc Machining ◽  
Sufficient Data ◽  
Cnc Machine ◽  
Cnc Turning ◽  
Synergistic Interactions ◽  
New Strategy ◽  
Turning Center ◽  
Workpiece Dimension

Industry is looking for practical means to improve the accuracy of the parts machined on CNC machines. Some artificial intelligence (AI) systems have been applied in modeling and compensating manufacturing process errors in CNC machining. However, these systems are not capable of predicting the results of a new operation if no sufficient data on a number of similar operations is available. A generalized AI approach named synergistic interactions amongst modeling, sensing and learning is proposed in this paper. Based on the AI approach, a new strategy of error compensation of workpiece dimension in CNC machining is developed and applied in a CNC turning center. Error compensation results are illustrated the effectiveness of the error compensation strategy. The learning curve shows that the error compensation confidence gradually progresses towards 100% confidence from zero along with the CNC machine operation time increasing.

Thermal error optimization modeling and real-time compensation on a CNC turning center

2008 ◽  
Vol 207 (1-3) ◽  
pp. 172-179 ◽  
Author(s):  
Wu Hao ◽  
Zhang Hongtao ◽  
Guo Qianjian ◽  
Wang Xiushan ◽  
Yang Jianguo
Keyword(s):  
Real Time ◽  
Thermal Error ◽  
Optimization Modeling ◽  
Cnc Turning ◽  
Turning Center ◽  
Error Optimization

Experimental Analysis and FEM Calculation of the Thermal Deformation for the Spindle System of Machining Center

2008 ◽  
Vol 33-37 ◽  
pp. 1307-1312
Author(s):  
Mutellip Ahmat ◽  
Wei Cheng ◽  
Li Zheng
Keyword(s):  
Error Compensation ◽  
Thermal Deformation ◽  
Thermal Field ◽  
Theoretical Foundation ◽  
Thermal Error ◽  
Experimental System ◽  
Heat Sources ◽  
Fem Modeling ◽  
Spindle System ◽  
Machining Center

In this study, the chief heat sources of the spindle system for the TH6350 Machining Center are analyzed, and an experimental system based on the virtual instruments technology is presented, thirty-two thermocouple sensors are set at the spindle system of the machining center to measure the thermal field, and five electric vortex sensors are used to measure the thermal error of the spindle by five-point method. The FEM modeling of the thermal deformation of the spindle system is built up by based of I-DEAS, the temperature field and the thermal deformation of it are calculated, and the calculated values of the model tallies with the experimental values.The researching results provide a theoretical foundation for the improving design􀋈temperature controlling and the error compensation to the machining center.

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