Utilization of Genetic Algorithm for Cutting Force Optimization when Machining Ti-6Al-4V using TiAlN coated End Mills

Mohruni, Amrifan Saladin and Sharif, S and Noordin, MY and Ardiansyah, A (2009) Utilization of Genetic Algorithm for Cutting Force Optimization when Machining Ti-6Al-4V using TiAlN coated End Mills. In: The 4th National Seminar on Mechanical Engineering (SNTM4), 30 June 2009, Surabaya, Indonesia.

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    Abstract

    This study deals with cutting force optimization in end milling Ti-6Al-4V using TiAlN coated solid carbide tools. Genetic Algorithm (GA) was utilized for finding the optimum cutting conditions such as cutting speed (V), feed per tooth (fz), and radial rake angle (γo). The results were compared to that had been generated using Response Surface Methodology (RSM). It was found that GA-results are more accurate than RSM-results which have been validated using data taken from the design of experiments (DOE).

    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/1368

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