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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Format: | Article |
Language: | English |
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Wiley
2014-01-01
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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. |
format | Article |
id | doaj-art-6554b2ebc4bc48d1a19c6eb2a08c0608 |
institution | Kabale University |
issn | 1687-5591 1687-5605 |
language | English |
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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