Optimization of Surface Roughness in End Milling Ti-6Al-4V using TiAlN coated Tools by Utilizing Genetic Algorithm
| Main Authors: | Mohruni, Amrifan Saladin, Sharif, S, Noordin, MY, Faizal, H |
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| Format: | Proceeding PeerReviewed application/pdf |
| Terbitan: |
Department of Mechanical and Industrial Engineering, Gajah Mada University
, 2009
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| Subjects: | |
| Online Access: |
http://eprints.unsri.ac.id/1367/1/ASM_SMART_UGM_2009.pdf http://eprints.unsri.ac.id/1367/ |
Daftar Isi:
- 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).