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The Scientific World Journal
Volume 2015, Article ID 895696, 6 pages
Research Article

Optimization of Processing Parameters in ECM of Die Tool Steel Using Nanofluid by Multiobjective Genetic Algorithm

1Department of Mechanical Engineering, Dr. Navalar Nedunchezhiyan College of Engineering, Tholudur 606 303, India
2Department of Mechanical Engineering, Thanthai Periyar Government Institute of Technology, Vellore 2, India
3Department of Mechanical Engineering, UCSI University, North Wing, 56000 Kuala Lumpur, Malaysia

Received 29 November 2014; Accepted 5 January 2015

Academic Editor: Venkatesh Jaganathan

Copyright © 2015 V. Sathiyamoorthy et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [3 citations]

The following is the list of published articles that have cited the current article.

  • T. Sekar, M. Arularasu, and V. Sathiyamoorthy, “Investigations on the effects of Nano-fluid in ECM of Die Steel,” Measurement, 2016. View at Publisher · View at Google Scholar
  • Kanak Kalita, Ishwer Shivakoti, and Ranjan Kumar Ghadai, “Optimizing process parameters for laser beam micro-marking using genetic algorithm and particle swarm optimization,” Materials and Manufacturing Processes, pp. 1–8, 2017. View at Publisher · View at Google Scholar
  • Kashif Ishfaq, Nadeem Ahmad Mufti, Naveed Ahmed, and Salman Pervaiz, “Abrasive waterjet cutting of cladded material: kerf taper and MRR analysis,” Materials and Manufacturing Processes, pp. 1–10, 2018. View at Publisher · View at Google Scholar