Optimization of Cutting Conditions when End Milling Aeronautic Materials (Ti-6Al-4V) using Genetic Algorithm and Response Surface Methodology

Mohruni, Amrifan Saladin and Sharif, S and Noordin, MY and Hanson, R (2011) Optimization of Cutting Conditions when End Milling Aeronautic Materials (Ti-6Al-4V) using Genetic Algorithm and Response Surface Methodology. In: The 12th International Conference on QiR (Quality in Research), 4 - 7 July 2011, Denpasar Bali, Indonesia.

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    Abstract

    The present work was initiated to explore the optimum tool performance in machining of Ti-6Al-4V using Super-Nitride (SNTR)coated WC-Co end mills under wet conditions. Ti-alloys, particularly α + β alloys such as Ti-6Al-4V, have been the focus of considerable research recently because of their high specific strength to weight ratio, which is even maintained at elevated temperatures, excellent fracture toughness, extensive ductility and corrosion resistance. These properties make Ti-alloys the most attractive metallic materials for metal working, aeronautic industry, chemical industry, marine environments, and biomaterials applications. The Response Surface Methodology (RSM) and Genetic Algorithm (GA) were used in finding the optimum machining conditions. It was proven that overall performance using GA delivers better results than RSM, when the experimental trials were conducted according to 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/1373

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