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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
出版社: 國立中興大學工學院;Airiti Press Inc.
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 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 ±3μm.
工具機本身幾何誤差以及切削期間結構受熱所產生的熱變位是影響其加工精度的 主要因素,因此工具機熱變位補償技術在近年來逐漸受到重視。儘管熱變位補償技術在實 驗室及工業產品設備上已經成功的驗證,但是其補償效果仍有待加強。本文即針對熱變位 補償效果,導入可調式模糊控制理論,以建立熱變位預測模型。以IC型溫度感測器量測算 熱源之溫度變化,以標準桿配合觸發式探頭進行切削中熱變位之量測。收集溫度與變位資 料,以可調式模糊理論,建立熱變位預測模型。為了讓使用者能有更友善之操作介面,因 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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