Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/2562
標題: CNC工具機整機溫升熱變位建模研究
Study of Thermal Compensation Modeling in CNC Machine Tool
作者: 張建富
Chang, Chien-Fu
關鍵字: Machine tool;工具機;Thermal error;Thermal deformation;熱誤差;熱變形
出版社: 機械工程學系所
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摘要: 
近來由於精密模具、電子產業之精密加工需求增加,因此溫度變異對於機台加工精度之影響更是不容忽視,如何發展有效且可靠的熱誤差因應技術,已是近年來工具機廠商發展的重點項目之一。
本研究針對立式综合加工機,以I.C.型溫度感測元件量測整機熱溫升,配合觸發式探頭(TS27R)進行實際切削中熱變位之量測,收集足夠的溫度與熱變位的資料後,利用多變數迴歸的方式分析其相關性,以最具相關性之溫度點建立補償預估模型。實驗分為兩部分,首先探討相同轉速及進給下,不同的切削路徑,其溫升及熱變位之關係。第二部份在相同的切削路徑下,改變轉速和進給,並分別建立其補償預測模型,將補償預測模型應用於不同的切削條件下,分析預測模型的準確度。
經由實驗結果顯示,切削路徑的改變其溫升及熱變位的變化趨勢,並無太大的差異性。而建立出的補償預估模型,應用於相同的切削條件中,其模型的預估誤差在±3μm內,將預估模型套用於其他切削條件時,其預估誤差最大約±15μm。

Recently, because of precision mold, electronic industry demand for precision machining, so the temperature variation for the effect of machine precision can not be ignored, how to develop effective and reliable thermal error in response to technology, machine tool manufacturers has been the focus of development projects one in recent years.
In this study, we use IC temperature sensors measure the machine temperature , with the trigger probe (TS27R) the actual cutting of the measurement of heat deformation ,when get sufficient temperature and deformation data, using multiple regression analysis of the correlation between the way to the most relevant point to establish compensation for the thermal prediction model. Experiment was divided into two parts, the first of the same spindle speed and feed, the different cutting path, the temperature and heat deflection relationship. The second part of the same cutting path, change the spindle speed and feed, and were forecast to establish the compensation model, compensation prediction model is applied to different cutting conditions, the analysis of the accuracy of estimate models.
The experimental results , cutting the path of change and the heat deflection temperature change in the trend, no significant difference. The establishment of a compensation prediction model, applied to the same cutting conditions, the model''s forecast error of ± 3μm, the prediction model will be applied to other cutting conditions, the estimated error of up to ± 15μm.
URI: http://hdl.handle.net/11455/2562
其他識別: U0005-2907201014464600
Appears in Collections:機械工程學系所

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