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

Sharif, Safian and Mohruni, Amrifan Saladin and Noordin, Mohd. Yusof and Venkatesh, Vellore C. (2006) Optimization of Surface Roughness Prediction Model in End Milling Titanium Alloy (Ti-6Al4V). Proceedings of ICOMAST2006 International Conference on Manufacturing Science and Technology August 28-30, 2006, Melaka, Malaysia, - (-). pp. 55-58. ISSN 983-42051-2-0

[img] Text
ASM ICOMAST 2006.pdf - Published Version

Download (1MB)
Official URL: https://www.mmu.edu.my/

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 onstructed 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: Article
Uncontrolled Keywords: Surface roughness, End milling, Titanium Alloys, Response Surface Methodology (RSM)
Subjects: T Technology > TJ Mechanical engineering and machinery > TJ1-1570 Mechanical engineering and machinery
T Technology > TJ Mechanical engineering and machinery > TJ1125-1345 Machine shops and machine shop practice > TJ1180 Machining, Ceramic materials--Machining-Strength of materials-Machine tools-Design and construction > TJ1180.A34 Machining
Divisions: 03-Faculty of Engineering > 21101-Mechanical Engineering (S2)
Depositing User: Assoc.Prof Amrifan Saladin Mohruni
Date Deposited: 06 Jul 2019 12:10
Last Modified: 29 Jul 2019 02:52
URI: http://repository.unsri.ac.id/id/eprint/28

Actions (login required)

View Item View Item