%0 Journal Article
%T Multi-Objective Optimization Using Genetic Algorithms of Multi-Pass Turning Process
%A Abdelouahhab Jabri
%A Abdellah El Barkany
%A Ahmed El Khalfi
%J Engineering
%P 601-610
%@ 1947-394X
%D 2013
%I Scientific Research Publishing
%R 10.4236/eng.2013.57072
%X <p class=\"MsoNormal\" style=\"text-align:justify;\">
	<span lang=\"EN-US\">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.</span><span lang=\"EN-US\"><o:p></o:p></span> 
</p>
%K Genetic Algorithms
%K Mutli-Objective Optimization
%K Turning Process
%K Machining
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=34532