Optimization of Process Parameters for Surface Roughness and Tool Life in Face Milling using The Taguchi Analysis
Yazarlar (3)
Prof. Dr. Murat SARIKAYA Sinop Üniversitesi, Türkiye
Prof. Dr. Hakan Dilipak Gazi Üniversitesi, Türkiye
Akỳn Gezgin
Gazi Üniversitesi, Türkiye
Gazi Üniversitesi, Türkiye
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Materiali in Tehnologije (Q4) | ||
| Dergi ISSN | 1580-2949 Dergi Bilgileri (2015) | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 02-2015 |
| Cilt / Sayı / Sayfa | 49 / 1 / 139–147 | DOI | – |
| UAK Araştırma Alanları |
Üretim Teknolojileri
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| Özet |
| In this study, the Taguchi method, which is a powerful tool to design quality optimization, is used to find the optimum surface roughness and tool life in milling operations. An orthogonal array, a signal-to-noise (S/N) ratio, and an analysis of variance (ANOVA) are employed to investigate the tool life and the surface-roughness characteristics of AISI D3 steel. Accordingly, the lowest surface roughness and the highest tool life were estimated to be 0.436 mu m and 434.1 s, respectively and, finally, the Taguchi method allowed the optimization of the system for the verification of the tests. |
| Anahtar Kelimeler |
| Experimental design | Face milling | Material machinability | Optimization | Taguchi method |
