Optimization of Surface Roughness Prediction Model in End Milling Titanium Alloy (Ti-6Al4V)

Sharif, S and Mohruni, Amrifan Saladin and Noordin, MY and Venkatesh, VC (2006) Optimization of Surface Roughness Prediction Model in End Milling Titanium Alloy (Ti-6Al4V). In: International Conference on Manufacturing Science and Technology, 28 - 30 August 2006, Melaka, Malaysia.

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    Abstract

    This paper reports on the development of predicted mathematical models for surface roughness when end milling titanium alloy (Ti-6Al-4V) using uncoated solid carbide under flood conditions. Factorial design of experiment coupled with response surface methodology (RSM) were used in developing the surface roughness models in relation to the primary machining variables such as cutting speed, feed and radial rake angle. 3 D response surface contours were also constructed and used in determining the optimum cutting conditions for a particular range of surface roughness values. The adequacy of the predictive models was verified by ANOVA. Experimental results showed that lower surface roughness can be obtained by employing higher cutting speed, low feed rate and high radial rake angle value when end milling Ti-6Al4V

    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: 13 Oct 2012 19:57
    Last Modified: 13 Oct 2012 19:57
    URI: http://eprints.unsri.ac.id/id/eprint/1343

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