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

Mohruni, Amrifan Saladin and Sharif, S and Noordin, MY and Santo, PS (2009) Implementation of Genetic Algorithm in Tool Life Optimization when End Milling of Ti64 using TiAlN Coated Tools. In: The 8th National Seminar of Mechanical Engineering (SNTTM VIII), 11 - 14 August 2009, Semarang, Indonesia.

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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 experiments.

    Item Type: Conference or Workshop Item (Paper)
    Subjects: T Technology > TJ Mechanical engineering and machinery
    T Technology > TS Manufactures
    Divisions: Faculty of Engineering > Department of Mechanical Engineering
    Depositing User: Dipl.-Ing. Ir. PhD. Amrifan Saladin Mohruni
    Date Deposited: 23 Oct 2012 18:40
    Last Modified: 23 Oct 2012 18:40
    URI: http://eprints.unsri.ac.id/id/eprint/1369

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