|Title:||Genetic algorithm based optimization during wire electric discharge machining of metal matrix composite|
Jain, P. K.
|Published in:||Proceedings of 23rd DAAAM International Symposium on Intelligent Manufacturing and Automation 2012|
|Abstract:||The present work is focused on optimization of process parameters during wire electric discharge machining (WEDM) of metal matrix composites (MMCs). Response surface methodology (RSM) and genetic algorithm (GA) integrated with each other to optimize the process parameters. Four WEDM parameters namely servo voltage, pulse-on time, pulse-off time and wire feed rate were varied to study their effect on the quality of cut in SiCp/6061 Al MMC using surface roughness as response parameter. The relationship between surface roughness and machining parameters has been developed by using RSM. The mathematical model thus than developed was then employed on GA to optimized the process parameters.|
|Citation:||Proceedings of 23rd DAAAM International Symposium on Intelligent Manufacturing and Automation 2012, (2012), 401- 404. Zadar|
|Publisher:||Danube Adria Association for Automation and Manufacturing, DAAAM|
|Keywords:||Genetic algorithm (GA)|
Metal matrix composite (MMC)
Response surface methodology (RSM)
Wire electric discharge machining (WEDM)
|Author Scopus IDs:||54785113700|
|Author Affiliations:||Shandilya, P.|
|Appears in Collections:||Conference Publications [ME]|
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