A Simple Procedure for Searching Pareto Optimal Front in Machining Process: Electric Discharge Machining

Optimum control parameter setting in complex and stochastic type processes is one of the most challenging problems to the process engineers. As such, effective model development and determination of optimal operating conditions of electric discharge machining process (EDM) are reasonably difficult....

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Main Authors: Ushasta Aich, Simul Banerjee
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Modelling and Simulation in Engineering
Online Access:http://dx.doi.org/10.1155/2014/594054
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author Ushasta Aich
Simul Banerjee
author_facet Ushasta Aich
Simul Banerjee
author_sort Ushasta Aich
collection DOAJ
description Optimum control parameter setting in complex and stochastic type processes is one of the most challenging problems to the process engineers. As such, effective model development and determination of optimal operating conditions of electric discharge machining process (EDM) are reasonably difficult. In this apper, an easy to handle optimization procedure, weight-varying multiobjective simulated annealing, is proposed and is applied to optimize two conflicting type response parameters in EDM—material removal rate (MRR) and average surface roughness (Ra) simultaneously. A solution set is generated. The Pareto optimal front thus developed is further modeled. An inverse solution procedure is devised so that near-optimum process parameter settings can be determined for specific need based requirements of process engineers. The results are validated.
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id doaj-art-6554b2ebc4bc48d1a19c6eb2a08c0608
institution Kabale University
issn 1687-5591
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publishDate 2014-01-01
publisher Wiley
record_format Article
series Modelling and Simulation in Engineering
spelling doaj-art-6554b2ebc4bc48d1a19c6eb2a08c06082025-02-03T07:24:36ZengWileyModelling and Simulation in Engineering1687-55911687-56052014-01-01201410.1155/2014/594054594054A Simple Procedure for Searching Pareto Optimal Front in Machining Process: Electric Discharge MachiningUshasta Aich0Simul Banerjee1Mechanical Engineering Department, Jadavpur University, Kolkata 700032, IndiaMechanical Engineering Department, Jadavpur University, Kolkata 700032, IndiaOptimum control parameter setting in complex and stochastic type processes is one of the most challenging problems to the process engineers. As such, effective model development and determination of optimal operating conditions of electric discharge machining process (EDM) are reasonably difficult. In this apper, an easy to handle optimization procedure, weight-varying multiobjective simulated annealing, is proposed and is applied to optimize two conflicting type response parameters in EDM—material removal rate (MRR) and average surface roughness (Ra) simultaneously. A solution set is generated. The Pareto optimal front thus developed is further modeled. An inverse solution procedure is devised so that near-optimum process parameter settings can be determined for specific need based requirements of process engineers. The results are validated.http://dx.doi.org/10.1155/2014/594054
spellingShingle Ushasta Aich
Simul Banerjee
A Simple Procedure for Searching Pareto Optimal Front in Machining Process: Electric Discharge Machining
Modelling and Simulation in Engineering
title A Simple Procedure for Searching Pareto Optimal Front in Machining Process: Electric Discharge Machining
title_full A Simple Procedure for Searching Pareto Optimal Front in Machining Process: Electric Discharge Machining
title_fullStr A Simple Procedure for Searching Pareto Optimal Front in Machining Process: Electric Discharge Machining
title_full_unstemmed A Simple Procedure for Searching Pareto Optimal Front in Machining Process: Electric Discharge Machining
title_short A Simple Procedure for Searching Pareto Optimal Front in Machining Process: Electric Discharge Machining
title_sort simple procedure for searching pareto optimal front in machining process electric discharge machining
url http://dx.doi.org/10.1155/2014/594054
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