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contributor authorJ. S. Chung
contributor authorResearcher
contributor authorS. M. Hwang
date accessioned2017-05-09T00:08:05Z
date available2017-05-09T00:08:05Z
date copyrightMay, 2002
date issued2002
identifier issn1087-1357
identifier otherJMSEFK-27568#397_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/127124
description abstractA genetic algorithm based approach is presented for process optimal design in forging. In this approach, the optimal design problem is formulated on the basis of the integrated thermo-mechanical finite element process model so as to cover diverse design variables and objective functions, and a genetic algorithm is adopted for conducting design iteration for optimization. The process model, the formulation for process optimal design, and the genetic algorithm are described in detail. The approach is applied to several selected process design problems in cold and hot forging.
publisherThe American Society of Mechanical Engineers (ASME)
titleProcess Optimal Design in Forging by Genetic Algorithm
typeJournal Paper
journal volume124
journal issue2
journal titleJournal of Manufacturing Science and Engineering
identifier doi10.1115/1.1406954
journal fristpage397
journal lastpage408
identifier eissn1528-8935
treeJournal of Manufacturing Science and Engineering:;2002:;volume( 124 ):;issue: 002
contenttypeFulltext


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