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...
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 |
Similar Items
-
Optimization of deep drawing process parameters of 304 stainless steel
by: Sh. Xu, et al.
Published: (2021-01-01) -
Analysis of Deep Drawing Process for Stainless Steel Micro-Channel Array
by: Tsung-Chia Chen, et al.
Published: (2017-04-01) -
The Deep Drawing of a Flanged Square Hole in Thin Stainless Steel Sheet
by: Tsung-Chia Chen, et al.
Published: (2021-09-01) -
Optimal Die Design on High-Strength Stainless Steel Wire Drawing
by: Ming-Chin Chan, et al.
Published: (2014) -
Simulasi Proses Deep Drawing Stainless Steel dengan Software Abaqus
by: Tri Widodo Besar Riyadi, et al.
Published: (2016-08-01)