Application of ANN to study formability of Magnesium Alloy under hot forging process

碩士 === 國立臺灣科技大學 === 機械工程系 === 96 === This study investigates the mechanical properties and forming characteristics of AZ31 and AZ61 magnesium alloy parts with different temperatures under hot forging. Process parameters considered in this study are the heating temperature of billet and the lubricant...

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Bibliographic Details
Main Authors: Yu-fu Ou, 歐育附
Other Authors: Su-Hai Hsiang  
Format: Others
Language:zh-TW
Published: 2008
Online Access:http://ndltd.ncl.edu.tw/handle/89714972174178636894
Description
Summary:碩士 === 國立臺灣科技大學 === 機械工程系 === 96 === This study investigates the mechanical properties and forming characteristics of AZ31 and AZ61 magnesium alloy parts with different temperatures under hot forging. Process parameters considered in this study are the heating temperature of billet and the lubricants. A cylinderial parts with flange is adopted as a carrier, by changing the process parameters, this study try to find out the best forming condition for the forging parts of magnesium alloy with lower forging load. In addition, through the hardness test and the observation of microstructure of forged parts,the influence of heating temperature of billet and lubricant on the microstructure and strength of forged parts can be clarified. Finally, Artificial Neural Network (ANN) is applied to learn the data obtained from experiments and to predict the experimental result under new combination of process parameters. Confirmatory experiment is carried out to prove the usefulness of the ANN model.