Improvement of the MQL Efficiency in Machining Stainless Steel by Adding Nanoparticles to the Cutting Fluid
Yazarlar (5)
Youssef Touggui Université Blida 1, Cezayir
Prof. Dr. Alper Uysal Yıldız Teknik Üniversitesi, Türkiye
Öğr. Gör. Uğur EMİROĞLU Siirt Üniversitesi, Türkiye
Eshreb Dzhemilov Crimean Engineering And Pedagogical University, Ukrayna
Salim Belhadi Université 8 Mai 1945 Guelma, Cezayir
| Makale Türü | Özgün Makale (SCOPUS dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | ADVANCED MANUFACTURING PROCESSES III, INTERPARTNER-2021 | ||
| Dergi ISSN | 2195-4356 Dergi Bilgileri (2022) | ||
| Dergi Tarandığı Indeksler | Springer Link | ||
| Makale Dili | Türkçe | Basım Tarihi | 01-2022 |
| Kabul Tarihi | – | Yayınlanma Tarihi | 18-11-2021 |
| Cilt / Sayı / Sayfa | 0 / 1 / 219–228 | DOI | 10.1007/978-3-030-91327-4_22 |
| Makale Linki | https://link.springer.com/chapter/10.1007/978-3-030-91327-4_22 | ||
| UAK Araştırma Alanları |
Üretim Teknolojileri
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| Özet |
| In recent years, there has been a significant increase in the demand for environmentally sustainable machining processes to minimize the extravagant use of traditional cutting fluids, thereby reducing their detrimental impact on the environment and the operator’s health. This experimental study aims to improve the Minimum Quantity Lubrication (MQL) sustainable approach’s efficiency while machining AISI 304 austenitic stainless steel with a carbide insert. Optimum turning parameters were attained through the genetic algorithm (GA) optimization method based on response surface methodology (RSM) models. Present work has claimed the superiority of hybrid nanofluid MQL turning over MQL and nanofluid MQL turning operations. The most prominent achievement of this study is the improvement of surface roughness by 20.29% and 5.17% under hybrid nanofluid MQL compared to MQL and nanofluid MQL … |
| Anahtar Kelimeler |
| AISI 304 | Hybrid nanofluid | Machining | MQL efficiency | Nanofluid |
| Atıf Sayıları | |
| Web of Science | 6 |
| Scopus | 7 |
| Google Scholar | 8 |