International Journal of Scientific and Research Publications

IJSRP, Volume 3, Issue 5, May 2013 Edition [ISSN 2250-3153]


Using Genetic Algorithm to Optimize Machining Parameters in Turning Operation: A review
      Adnan Jameel, Mohamad Minhat , Md. Nizam
Abstract: The determination of optimal cutting parameters have significant importance for economic machining in minimizing of particular operating mistakes like tool fraction, wear , and chatter. The evolutionary algorithm GA is used to improve many solutions of optimization complex problems in many applications. This paper reviewed the ideal selection of cutting parameters in turning operation using GA and its variants. This study deals with GA algorithm in different machining aspects in turning operation like surface roughness, production rate , tool life, production cost, machining time and cutting temperature. The survey showed that there are many papers in the field of turning parameters optimization using GA, but there is a lack in studies in the field of cutting temperature optimization in turning operation which is very important problem in machining operation. In addition, there are rare papers that studied dry turning operations.

Reference this Research Paper (copy & paste below code):

Adnan Jameel, Mohamad Minhat , Md. Nizam (2018); Using Genetic Algorithm to Optimize Machining Parameters in Turning Operation: A review; Int J Sci Res Publ 3(5) (ISSN: 2250-3153). http://www.ijsrp.org/research-paper-0513.php?rp=P171245
©️ Copyright 2011-2022 IJSRP - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.