Volume 3, No. 3, July 2014

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  • ISSN: 2278-0149 (Online)
  • Abbreviated Title:  Int. J. Mech. Eng. Robot. Res.  
  • Editor-in-Chief: ​Prof Richard (Chunhui) Yang, Western Sydney University, Australia
  • Associate Editor: Prof. B.V. Appa Rao, Andhra University; Prof. Ian R. McAndrew, Capitol Technology University, USA
  • Managing Editor: Murali Krishna. B
  • DOI: 10.18178/ijmerr
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International Journal of Mechanical Engineering and Robotics Research
E-mail: ijmerr@vip.163.com

Optimization of Machining Parameters in ECM of Al/B4C Composites Using Genetic Algorithms

A Giribabu1 , Sadineni Rama Rao2, and G Padmanbhan1
1.SV University College of Engg, Tirupathi, AP, India 517502
2.Department of Mechanical Engineering, SVCET, RVS Nagar, Chittoor, AP, India 517127

Abstract—Performance criteria namely Material Removal Rate (MRR), Surface Roughness (SR) and Radial Over Cut (ROC) in electrochemical machining process greatly affected by the machining parameters like electrical parameters, electrode parameters, electrolyte parameters and workpiece properties. In the present work applied voltage (electrical parameter), tool feed rate (electrode parameter), electrolyte concentration (electrolyte parameter) and reinforcement content (workpiece property) are considered as input machining parameters. Multiple linear regression models are developed for MRR, SR and ROC. Optimum machinating parameters to maximize MRR, minimize SR and minimize ROC are found out using genetic algorithms

Index Terms—Al/B4C composites, Electrochemical machining, Genetic algorithms, Optimization

Cite: A Giribabu*, Sadineni Rama Rao and G Padmanbhan, "Optimization of Machining Parameters in ECM of Al/B4C Composites Using Genetic Algorithms," International Journal of Mechanical Engineering and Robotics Research, Vol. 3, No. 3, pp. 32-38, July 2014.