Optimization of Cutting Conditions when End Milling Aeronautic Materials (Ti-6Al-4V) using Genetic Algorithm and Response Surface Methodology
| Main Authors: | Mohruni, Amrifan Saladin, Sharif, S, Noordin, MY, Hanson, R |
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| Format: | Proceeding PeerReviewed application/pdf |
| Terbitan: |
Faculty of Engineering, University of Indonesia
, 2011
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| Subjects: | |
| Online Access: |
http://eprints.unsri.ac.id/1373/1/ASM_QIR_UI_2011.pdf http://eprints.unsri.ac.id/1373/ |
Daftar Isi:
- 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 metal working, 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).