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...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Applied soft computing Jg. 11; H. 2; S. 2743 - 2755
Hauptverfasser:	Joshi, S.N., Pande, S.S.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.03.2011
Schlagworte:	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
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!