- ISSN: 2278-0149 (Online)
Short Title: Int. J. Mech. Eng. Robot. Res.
Frequency: Bimonthly
- DOI: 10.18178/ijmerr
- Managing Editor: Ms. Jennifer Zeng
- Abstracting/Indexing: ESCI (Web of Science), Scopus, CNKI, Google Scholar, etc.
- E-mail questions to IJMERR Editorial Office.
- Acceptance Rate: 27%
- APC: 1000 USD
- Average Days to Accept: 92 days
Home > Articles > All Issues > 2014 > Volume 3, No. 3, July 2014 >
Optimization of Machining Parameters in ECM of Al/B4C Composites Using Genetic Algorithms
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.