平面磨床熱變形誤差之模型建立與實務探討

An Investigation in Modeling and Practice of Errors due to Thermal Deformation in Surface Grinder

陳宣霖(Xuan-Lin Chen)

指導教授 ： 康淵 ； 張永鵬

中原大學/工學院/機械工程研究所/碩士(2003年)

https://doi.org/10.6840/cycu200300711

摘要

本文探討平面磨床熱變形位移模型之預測精度，量測平面磨床之機台溫升與熱變形位移，使用迴歸分析之移動平均與自迴歸移動平均兩種方法及類神經網路之前饋式與遞迴式兩種網路架構，建立機台溫升與熱變形之關係式。使用模擬方式驗證四種方法所建立熱變形位移模型之預測精度，期望找出最佳之熱變形位移預測模型。

關鍵字

移動平均 ； 熱變形位移 ； 遞迴式類神經網路 ； 前饋式類神經網路 ； 自迴歸移動平均

並列摘要

Abstract
This study presents the anticipation precision of the modeling thermal deformation. It measures the machine temperature and thermal deformation of the surface grinder. This study uses two methods of regression analysis：Moving-Average、Auto Regression Moving-Average, and two methods of Neural Network：Feed-forward 、Recurrent, to find the relationship equation between the machine temperature and thermal deformation. Using the way of simulation tests and verifies the anticipation precision of the modeling thermal deformation established by four methods. It expects to find the best anticipation model of thermal deformation.

並列關鍵字

Thermal Deformation ； Moving Average ； Recurrent Neural Network ； Feed-forward Neural Network ； Auto Regression Moving Average

參考文獻

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