Taguchi Design and Response Surface Methodology Based Analysis of Machining Parameters in CNC Turning under MQL
Yazarlar (2)
Prof. Dr. Murat SARIKAYA Sinop Üniversitesi, Türkiye
Öğr. Gör. Abdulkadir Güllü Gazi Üniversitesi, Türkiye
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Journal of Cleaner Production (Q1) | ||
| Dergi ISSN | 0959-6526 Dergi Bilgileri (2014) | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 02-2014 |
| Cilt / Sayı / Sayfa | 65 / 1 / 604–616 | DOI | 10.1016/j.jclepro.2013.08.040 |
| Makale Linki | http://linkinghub.elsevier.com/retrieve/pii/S0959652613005805 | ||
| UAK Araştırma Alanları |
Üretim Teknolojileri
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| Özet |
| In manufacturing industry, the effect of cutting fluids has been known on the health, environment and productivity at machining operations such as turning, milling, drilling, etc. Surface roughness is a common indicator of the quality characteristics for machining processes. The machining process is more complex, and therefore, it is very hard to determine the effects of process parameters on surface quality in all turning operations. In this study, design of experiments has been used to study the effect of the main turning parameters such as cooling condition, cutting speed, feed rate and depth of cut on arithmetic average roughness (Ra) and average maximum height of the profile (Rz) when turning of AISI 1050 steel. Experiments have been performed under dry cutting (DC), conventional wet cooling (CC) and MQL. Tests are designed according to Taguchi's L16 (43 × 21) orthogonal array. ANOVA analysis was … |
| Anahtar Kelimeler |
| Desirability function | Mathematical model | MQL | Response surface methodology | Surface roughness | Taguchi design |
Science Direct
Taguchi Design and Response Surface Methodology Based Analysis of Machining Parameters in CNC Turning under MQL
| Atıf Sayıları | |
| Web of Science | 296 |
| Scopus | 352 |
| Google Scholar | 502 |