Intelligent process modeling and optimization of die-sinking electric discharge machining

This paper reports an intelligent approach for process modeling and optimization of electric discharge machining (EDM). Physics based process modeling using finite element method (FEM) has been integrated with the soft computing techniques like artificial neural networks (ANN) and genetic algorithm...

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Vydané v:	Applied soft computing Ročník 11; číslo 2; s. 2743 - 2755
Hlavní autori:	Joshi, S.N., Pande, S.S.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.03.2011
Predmet:	Artificial neural networks (ANN) Electric discharge machining (EDM) Finite element method (FEM) Non-dominated sorting genetic algorithm (NSGA) Process modeling and optimization Scaled conjugate gradient algorithm (SCG) Finite element method (FEM) Electric discharge machining (EDM) Non-dominated sorting genetic algorithm (NSGA) Scaled conjugate gradient algorithm (SCG) Artificial neural networks (ANN) Process modeling and optimization
ISSN:	1568-4946, 1872-9681
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