Application of Response Surface Methodology in the Development of Tool Life Prediction Models when End Milling Ti-6Al4V
| Main Authors: | Mohruni, Amrifan Saladin, Sharif, Safian, Noordin, Mohd. Yusof, Venkatesh, Vellore C. |
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| Format: | Article PeerReviewed Book |
| Bahasa: | eng |
| Terbitan: |
Faculty of Engineering, University of Indonesia
, 2007
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| Subjects: | |
| Online Access: |
http://repository.unsri.ac.id/32/1/Appl%20RSM%20in%20Tool%20Life.pdf http://repository.unsri.ac.id/32/ https://qir.eng.ui.ac.id/qir-proceedings/ |
Daftar Isi:
- This paper deals with development of prediction models for tool life when end milling titanium alloy, Ti-6Al4V using TiAlN-coated solid carbide tools under flood condition. Primary machining parameters such as cutting speed, feed and radial rake angle were used as independent variables. Three main models such as 3F-model, 1st CCD-model and 2nd CCD-model, were observed using response surface methodology (RSM) in determining the optimum cutting conditions for a particular tool life interval. ANOVA was applied to prove adequacy of the predictive models.