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

Mohruni, Amrifan Saladin and Sharif, Safian and Noordin, Mohd. Yusof and HANSON, RAHMADI (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) 2011, 4-7 July 2011, Denpasar, Bali.

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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 metalworking, 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)
Uncontrolled Keywords: Optimum Tool Performance, Super-Nitride, Titanium Alloys, Response Surface Methodology, Genetic Algorithm
Subjects: 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 > 21201-Mechanical Engineering (S1)
Depositing User: Prof Amrifan Saladin Mohruni
Date Deposited: 04 Dec 2021 15:41
Last Modified: 04 Dec 2021 15:42
URI: http://repository.unsri.ac.id/id/eprint/58733

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