Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/44890
標題: The neural-fuzzy thermal error compensation controller on CNC machining center
作者: Tseng, P.C.
曾柏昌
Chen, S.L.
關鍵字: thermal drift
compensation technology
neural-fuzzy controller
prediction
real
期刊/報告no:: Jsme International Journal Series C-Mechanical Systems Machine Elements and Manufacturing, Volume 45, Issue 2, Page(s) 470-478.
摘要: 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 online 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 mum to 3 mum. Comparison with the multi-variable linear regression analysis the compensation accuracy is increased from +/-10 mum to +/-3 mum.
URI: http://hdl.handle.net/11455/44890
ISSN: 1344-7653
文章連結: http://dx.doi.org/10.1299/jsmec.45.470
Appears in Collections:機械工程學系所

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