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contributor authorPierre M. Grignon
contributor authorGeorges M. Fadel
date accessioned2017-05-09T00:13:57Z
date available2017-05-09T00:13:57Z
date copyrightJanuary, 2004
date issued2004
identifier issn1050-0472
identifier otherJMDEDB-27774#6_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/130561
description abstractThis work presents a methodology for optimizing multiple system level assembly characteristics of complex mechanical assemblies by placement of their components. It addresses any component shape (including nonconvex, hollow, sharp edges) connected together by functional constraints. This method presents the designer with multiple solutions to the engineering configuration design problem (ECDP) using a Pareto Genetic Algorithm working on a population of sets instead of a population of individual points and thus results in a more informed a posteriori decision on the tradeoff issues between the various objectives. This paper addresses the definition of the assembly components and their relationships (ECDP), the definition of the configuration design optimization method (CDOM), and shows the application of the CDOM to one academic and two engineering test cases.
publisherThe American Society of Mechanical Engineers (ASME)
titleA GA Based Configuration Design Optimization Method
typeJournal Paper
journal volume126
journal issue1
journal titleJournal of Mechanical Design
identifier doi10.1115/1.1637656
journal fristpage6
journal lastpage15
identifier eissn1528-9001
keywordsDesign
keywordsOptimization
keywordsCenter of mass AND Shapes
treeJournal of Mechanical Design:;2004:;volume( 126 ):;issue: 001
contenttypeFulltext


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