Parametric Optimization for Cutting Forces and Material Removal Rate in the Turning of AISI 5140
Yazarlar (7)
Doç. Dr. Mustafa Kuntoğlu Selçuk Üniversitesi, Türkiye
Dr. Öğr. Üyesi Osman Acar Selçuk Üniversitesi, Türkiye
Munish Kumar Gupta
Shandong University, Çin
Shandong University, Çin
Hacı Sağlam
Selçuk Üniversitesi, Türkiye
Selçuk Üniversitesi, Türkiye
Prof. Dr. Murat SARIKAYA Sinop Üniversitesi, Türkiye
Khaled Giasin
University Of Portsmouth, İngiltere
University Of Portsmouth, İngiltere
Danil Yurievich Pimenov
South Ural State University, Rusya Federasyonu
South Ural State University, Rusya Federasyonu
| Makale Türü |
Özgün Makale
(SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
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| Dergi Adı | Machines (Q2) | ||
| Dergi ISSN | 2075-1702 Dergi Bilgileri (2021) | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 01-2021 |
| Cilt / Sayı / Sayfa | 9 / 5 / 90–0 | DOI | 10.3390/machines9050090 |
| Makale Linki | http://dx.doi.org/10.3390/machines9050090 | ||
| UAK Araştırma Alanları |
Üretim Teknolojileri
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| Özet |
| The present paper deals with the optimization of the three components of cutting forces and the Material Removal Rate (MRR) in the turning of AISI 5140 steel. The Harmonic Artificial Bee Colony Algorithm (H-ABC), which is an improved nature-inspired method, was compared with the Harmonic Bee Algorithm (HBA) and popular methods such as Taguchi’s S/N ratio and the Response Surface Methodology (RSM) in order to achieve the optimum parameters in machining applications. The experiments were performed under dry cutting conditions using three cutting speeds, three feed rates, and two depths of cuts. Quadratic regression equations were identified as the objective function for HBA to represent the relationship between the cutting parameters and responses, i.e., the cutting forces and MRR. According to the results, the RSM (72.1%) and H-ABC (64%) algorithms provide better composite desirability compared to the other techniques, namely Taguchi (43.4%) and HBA (47.2%). While the optimum parameters found by the H-ABC algorithm are better when considering cutting forces, RSM has a higher success rate for MRR. It is worth remarking that H-ABC provides an effective solution in comparison with the frequently used methods, which is promising for the optimization of the parameters in the turning of new-generation materials in the industry. There is a contradictory situation in maximizing the MRR and minimizing the cutting power simultaneously, because the affecting parameters have a reverse effect on these two response parameters. Comparing different types of methods provides a perspective in the selection of the optimum … |
| Anahtar Kelimeler |
| Harmonic artificial bee colony algorithm | Optimization | Response surface methodology | S/N ratio | Turning |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 31 |
| Scopus | 38 |
| Google Scholar | 55 |