The study of intelligent optimal design for Hydro-mechanical deep drawing of stainless steel

碩士 === 國立臺灣海洋大學 === 輪機工程系 === 97 === Hydro-deep drawing processes were studied on the optimization considerations of Neural Genetic Hybrid algorithm. In this research, the problems of drawing length and the finished product accuracy were discussion. To make an optimal choice of drawing parameters, t...

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Bibliographic Details
Main Authors: Tsung-Han Wu, 吳宗翰
Other Authors: Jing-Ping Wang
Format: Others
Language:zh-TW
Published: 2009
Online Access:http://ndltd.ncl.edu.tw/handle/39189191283232404652

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