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(BQ) The present work is aimed at optimizing the surface roughness of die sinking electric discharge machining (EDM) by considering the simultaneous affect of various input parameters.
9 p vlute 28/04/2017 628 1
Từ khóa: Electro Discharge Machining, Surface roughness, Hybrid model Optimization, Artificial neural network, Genetic algorithm
Intelligent process modeling and optimization of die-sinking electric discharge machining
(BQ) 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 (GA) to improve prediction accuracy of the model with less dependency on the experimental data.
13 p vlute 28/04/2017 528 1
Từ khóa: Electric discharge machining, Process modeling and optimization, Finite element method, Artificial neural networks, Scaled conjugate gradient algorithm, Non dominated sorting genetic algorithm
0 The Optimization of the Electro-Discharge Machining Process Using Response
(BQ) In this paper, working current, working voltage, oil pressure, spark gap Pulse On Time and Pulse Off Time on Material Removal Rate (MRR) and Surface Finish (Ra) has been studied. Empirical models for MRR and Ra have been developed by conducting a designed experiment based on the Grey Relational Analysis. Genetic Algorithm (GA) based multi-objective optimization for maximization of MRR and minimization of Ra has been done by using the...
10 p vlute 28/04/2017 523 1
Từ khóa: Electro Discharge Machining, Grey Relational Analysis, Genetic Algorithm, Regression Model, Taguchi Method, The EDM process