Mohruni, Amrifan Saladin and Sharif, Safian and Noordin, Mohd. Yusof and FAIZAL, HERDINALD (2009) Optimization of Surface Roughness in End Milling Ti-6Al-4V using TiAlN Coated Tools by Utilizing Genetic Algorithm. In: Seminar on Application and Research in Industrial Technology, SMART, 22 July 2009, Yogyakarta.
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C-4. A.S. Mohruni, S. Sharif, M.Y. Noordin, dan H. Faizal.pdf - Published Version Download (606kB) | Preview |
Abstract
In this works, surface roughness for end milling of Ti-6Al-4V under wet conditions were optimized. Genetic algorithm (GA) was used for finding the optimum cutting conditions such as cutting speed (V), feed per tooth (fz), and radial rake angle (γo). The optimized results were compared to that had been generated using response surface methodology (RSM). It has been proven that GA-results showed more accurate than RSM-results which have been validated using data taken according to the design of experiments (DOE).
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | Surface Roughness, End Milling, Titanium Alloys, Genetic Algorithm (GA), 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: | Prof Amrifan Saladin Mohruni |
| Date Deposited: | 04 Dec 2021 07:28 |
| Last Modified: | 04 Dec 2021 07:30 |
| URI: | http://repository.unsri.ac.id/id/eprint/58725 |
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