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標題: CNC綜合加工機之可調式模糊控制熱誤差補償系統
作者: 曾柏昌
關鍵字: 熱變位;補償技術;可調式模糊控制;預測
出版社: 國立中興大學工學院;Airiti Press Inc.
Project: 興大工程學刊, Volume 11, Issue 2, Page(s) 81-90.
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 80μm to ±3μm. Comparison with the
multi-variable linear regression analysis the compensation accuracy is increased from ±10μm to

此以Inprise C++ Builder建構視窗型使用者圖形介面之熱變位量測與補償系統。經由實驗結
果顯示,此熱變位預測模型可將主軸熱變位由80 μm降至±3 μm,其較以線性複迴歸法建
立之預測模型所能達到之±10 μm補償範圍有更佳之效果。
ISSN: 1017-4397
Appears in Collections:第11卷 第2期

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