Multi-objective parametric optimization on the EDM machining of hybrid SiCp/Grp/aluminum nanocomposites using Non-dominating Sorting Genetic Algorithm (NSGA-II): Fabrication and microstructural characterizations

Multi-objective parametric optimization on the EDM machining of hybrid SiCp/Grp/aluminum nanocomposites using Non-dominating Sorting Genetic Algorithm (NSGA-II): Fabrication and microstructural characterizations

In this study, different input parameters for electric discharge machining (EDM) are examined in order to revise the distinctiveness of EDM for machining aluminum-based hybrid metal matrix composites (MMCs). The versatility of hybrid aluminum MMCs makes them very popular and sought after in the auto...

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Bibliographic Details
Main Authors: Garg Harish K., Sharma Shubham, Kumar Rajesh, Manna Alakesh, Li Changhe, Mausam Kuwar, Eldin Elsayed Mohamed Tag
Format: Article
Language:English
Published: De Gruyter 2022-12-01
Series:Reviews on Advanced Materials Science
Subjects:
electric discharge machining
hybrid mmc
mrr
multi-response optimization
ccrd
rsm
sr
morphology
Online Access:https://doi.org/10.1515/rams-2022-0279

Internet

https://doi.org/10.1515/rams-2022-0279

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