Optimization of Surface Roughness in End Milling Ti-6Al-4V using TiAlN coated Tools by Utilizing Genetic Algorithm

Mohruni, Amrifan Saladin and Sharif, S and Noordin, MY and Faizal, H (2009) Optimization of Surface Roughness in End Milling Ti-6Al-4V using TiAlN coated Tools by Utilizing Genetic Algorithm. In: Seminar on Application and Research in Industrial Technology, SMART, 22 July 2009, Yogyakarta, Indonesia.

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    Abstract

    In this works, surface roughness for end milling of Ti-6Al-4V under wet conditions were optimized. Genetic algorithm (GA) was used for finding the optimum cutting conditions such as cutting speed (V), feed per tooth (fz), and radial rake angle (γo). The optimized results were compared to that had been generated using response surface methodology (RSM). It has been proven that GA-results showed more accurate than RSM-results which have been validated using data taken according to 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/1367

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