TITLE:
Multi-Objective Optimization Using Genetic Algorithms of Multi-Pass Turning Process
AUTHORS:
Abdelouahhab Jabri, Abdellah El Barkany, Ahmed El Khalfi
KEYWORDS:
Genetic Algorithms; Mutli-Objective Optimization; Turning Process; Machining
JOURNAL NAME:
Engineering,
Vol.5 No.7,
July
15,
2013
ABSTRACT: In this paper we present a multi-optimization technique
based on genetic algorithms to search optimal cuttings parameters such as
cutting depth, feed rate and cutting speed of multi-pass turning processes. Tow
objective functions are simultaneously optimized under a set of practical of
machining constraints, the first objective function is cutting cost and the
second one is the used tool life time. The proposed model deals multi-pass
turning processes where the cutting operations are divided into multi-pass
rough machining and finish machining. Results obtained from Genetic Algorithms
method are presented in Pareto frontier graphic; this technique helps us in
decision making process. An example is presented to illustrate the procedure of
this technique.