Implementation of Genetic Algorithm in Tool Life Optimization when End Milling of Ti64 using TiAlN Coated Tools

Mohruni, Amrifan Saladin and Sharif, Safian and Noordin, Mohd. Yusof and SANTO, P. S. (2009) Implementation of Genetic Algorithm in Tool Life Optimization when End Milling of Ti64 using TiAlN Coated Tools. In: Seminar Nasional Tahunan Teknik Mesin (SNTTM) VIII, 11-12 Agustus 2009, Semarang.

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Abstract

The present works was initiated to explore the optimum tool performance in machining of Ti-64 using TiAlN coated tools end mills under wet conditions. The use of Response Surface Methodology (RSM) and Genetic Algorithm (GA) was compared in finding optimum machining conditions. It was proven that GA delivers better result than RSM, when compared using experimental trials, which was conducted according to design of experimental

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Optimum Tool Life Performance, TiAlN, Titanium Alloys, RSM, GA.
Subjects: T Technology > TJ Mechanical engineering and machinery > TJ1125-1345 Machine shops and machine shop practice > TJ1180 Machining, Ceramic materials--Machining-Strength of materials-Machine tools-Design and construction > TJ1180.A34 Machining
Divisions: 03-Faculty of Engineering > 21101-Mechanical Engineering (S2)
Depositing User: Prof Amrifan Saladin Mohruni
Date Deposited: 04 Dec 2021 08:20
Last Modified: 04 Dec 2021 08:21
URI: http://repository.unsri.ac.id/id/eprint/58727

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