Multi-Objective Optimization Using Genetic Algorithms of Multi-Pass Turning ProcessReport as inadecuate




Multi-Objective Optimization Using Genetic Algorithms of Multi-Pass Turning Process - Download this document for free, or read online. Document in PDF available to download.

In this paper we present a multi-optimization techniquebased on genetic algorithms to search optimal cuttings parameters such ascutting depth, feed rate and cutting speed of multi-pass turning processes. Towobjective functions are simultaneously optimized under a set of practical ofmachining constraints, the first objective function is cutting cost and thesecond one is the used tool life time. The proposed model deals multi-passturning processes where the cutting operations are divided into multi-passrough machining and finish machining. Results obtained from Genetic Algorithmsmethod are presented in Pareto frontier graphic; this technique helps us indecision making process. An example is presented to illustrate the procedure ofthis technique.

KEYWORDS

Genetic Algorithms; Mutli-Objective Optimization; Turning Process; Machining

Cite this paper

A. Jabri, A. Barkany and A. Khalfi -Multi-Objective Optimization Using Genetic Algorithms of Multi-Pass Turning Process,- Engineering, Vol. 5 No. 7, 2013, pp. 601-610. doi: 10.4236-eng.2013.57072.





Author: Abdelouahhab Jabri, Abdellah El Barkany, Ahmed El Khalfi

Source: http://www.scirp.org/



DOWNLOAD PDF




Related documents