Mohruni, Amrifan Saladin and Sharif, Safian and Noordin, Mohd. Yusof and ARDIANSYAH, AHMAD (2009) Utilization of Genetic Algorithm for Cutting Force Optimization when Machining Ti-6Al-4V using TiAlN Coated End Mills. In: Seminar Nasional Teknik Mesin 4, Universitas PETRA, 30 June 2009, Surabaya.
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Abstract
ABSTRACT This study deals with cutting force optimization in end milling Ti-6Al-4V using TiAlN coated solid carbide tools. Genetic Algorithm (GA) was utilized for finding the optimum cutting conditions such as cutting speed (V), feed per tooth (fz), and radial rake angle (γo). The results were compared to that had been generated using Response Surface Methodology (RSM). It was found that GA-results are more accurate than RSM-results which have been validated using data taken from the design of experiments (DOE).
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | Cutting Force, End Milling, Titanium Alloys, Genetic Algorithm, Response Surface Methodology |
| 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 > 21101-Mechanical Engineering (S2) |
| Depositing User: | Prof Amrifan Saladin Mohruni |
| Date Deposited: | 04 Dec 2021 07:58 |
| Last Modified: | 04 Dec 2021 08:09 |
| URI: | http://repository.unsri.ac.id/id/eprint/58726 |
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