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USING GENETIC ALGORITHMS FOR OPTIMIZATION OF TURNING MACHINING PROCESS


DUSAN PETKOVIC, MIROSLAV RADOVANOVIC
University of Nis, Faculty of Mechanical Engineering, A. Medvedeva 14, 18000 Nis, Serbia

Issue:

JESR, Number 1, Volume XIX

Section:

Issue No. 1 - Volume 19(2013)

Abstract:

Optimization methods of machining processes are tools for improving product quality and reducing cost and production time. Modern optimization methods, among which genetic algorithms (GA) have been, used a lot during last two decades. This paper describes the optimization of machining processes by using genetic algorithms. Optimal parameters of machining (cutting speed and feed) were determined. Also, minimal cost for the turning process was achieved.

Keywords:

machining process, turning, optimization, genetic algorithm.

Code [ID]:

JESR201301V19S01A0008 [0003814]

Full paper:

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