Optimization of the surface roughness by applying the Taguchi technique for the turning of stainless steel under cooling conditions
Yazarlar (1)
Prof. Dr. Murat SARIKAYA Sinop Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
(SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
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| Dergi Adı | Materiali in Tehnologije (Q4) | ||
| Dergi ISSN | 1580-2949 Dergi Bilgileri (2015) | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 12-2015 |
| Cilt / Sayı / Sayfa | 49 / 6 / 941–948 | DOI | 10.17222/mit.2014.282 |
| Makale Linki | http://mit.imt.si/Revija/izvodi/mit156/sarikaya.pdf | ||
| UAK Araştırma Alanları |
Üretim Teknolojileri
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| Özet |
| This paper presents the optimization of the surface roughness using the Taguchi technique to assess the machinability of the AISI 316Ti steel with PVD coated carbide inserts under different cooling conditions such as dry, conventional (wet) and cryogenic cooling with liquid nitrogen (LN2). Based on the Taguchi L9 (33) orthogonal-array design, the machinability tests were made utilizing a CNC lathe machine. Test parameters including the cutting speed, the cooling condition and the feed rate were taken and then the surface roughness (Ra) was measured to obtain the machinability indicator. An analysis of variance was performed to determine the importance of the input parameters for the surface roughness. The process parameters were optimized by taking the Taguchi technique into consideration. The Taguchi signal-to-noise ratio was employed with the smaller-the-better approach to obtain the best combination. On the basis of the first-order model, a mathematical model was created using the regression analysis to predict the Ra model. The results indicate that the feed rate is the parameter with the highest effect on the surface roughness and that the other parameters also have a statistical significance. In addition, cryogenic cooling is an alternative method for increasing the surface quality of machined parts. |
| Anahtar Kelimeler |
| AISI 316Ti | Cryogenic cooling | Machinability | Optimization | Surface roughness | Taguchi method |
