The Neural-fuzzy Thermal Error Compensation Controller on CNC Machining Center

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概要

• 論文の詳細を見る

• The geometric errors and structural thermal deformation are factors that influence the machining accuracy of Computer Numerical Control (CNC) machining center. Therefore, researchers pay attention to thermal error compensation technologies on CNC machine tools. Some real-time error compensation techniques have been successfully demonstrated in both laboratories and industrial sites. The compensation results still need to be enhanced. In this research, the neural-fuzzy theory has been conducted to derive a thermal prediction model. An IC-type thermometer has been used to detect the heat sources temperature variation. The thermal drifts are on-line measured by a touch-triggered probe with a standard bar. A thermal prediction model is then derived by neural-fuzzy theory based on the temperature variation and the thermal drifts. A Graphic User Interface (GUI) system is also built to conduct the user friendly operation interface with Insprise C + + Builder. The experimental results show that the thermal prediction model developed by neural-fuzzy theory methodology can improve machining accuracy from 80 μm to 3 μm. Comparison with the multi-variable linear regression analysis the compensation accuracy is increased from ± 10 μm to ± 3 μm.

• 一般社団法人日本機械学会の論文
• 2002-06-15

著者

• Chen Shen-len

  Department Of Mechanical Engineering National Chung-hsing University

• TSENG Pai-Chung

  Department of Mechanical Engineering, National Chung-Hsing University

• Tseng Pai-chung

  Department Of Mechanical Engineering National Chung Hsing University

• Tseng Pai-chung

  Department Of Mechanical Engineering National Chung-hsing University

関連論文

• The Neural-fuzzy Thermal Error Compensation Controller on CNC Machining Center
• Thermal Error Modeling of a Machining Center Using Grey System Theory and Adaptive Network-Based Fuzzy Inference System
• The Design of Free Surface Interpolator for CNC Machining

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