Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/221
Title: Optimization of tool wear in turning using genetic algorithm
Authors: Prasad, C Felix
Jayabal, S
Natarajan, U
Keywords: Optimization
Tool wear
Genetic Algorithm
Input parameters
Issue Date: Dec-2007
Publisher: CSIR
Abstract: Optimization has significant practical importance particularly for operating in machines. In order to increase the accuracy of finishing product the tool must be in good condition always as much as possible. To achieve good condition of tool the machining parameters like speed, feed and depth of cut should be optimized²⁻⁴. This paper aims to increase the condition of tool, i.e., minimization of tool wear by applying the optimized input parameters using Genetic Algorithm technique. For solving the machining problems various traditional techniques such as Integer programming, Quadratic programming and Simplex method have been used so far. But results of these various methods vary to some extent. Genetic Algorithm helps in obtaining better results than of traditional methods available.
Description: 403-407
URI: http://hdl.handle.net/123456789/221
ISSN: 0971-4588
Appears in Collections:IJEMS Vol.14(6) [December 2007]

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