Scopus
🔓 Açık Erişim YÖKSİS Eşleşti
Parametric optimization for cutting forces and material removal rate in the turning of aisi 5140
Machines · Mayıs 2021
YÖKSİS Kayıtları
Parametric Optimization for Cutting Forces and Material Removal Rate in the Turning of AISI 5140
Machines · 2021 SCI-Expanded
DOKTOR ÖĞRETİM ÜYESİ OSMAN ACAR →
Parametric Optimization for Cutting Forces and Material Removal Rate in the Turning of AISI 5140
Machines · 2021 SCI-Expanded
DOÇENT MUSTAFA KUNTOĞLU →
Makale Bilgileri
DergiMachines
Yayın TarihiMayıs 2021
Cilt / Sayfa9
Scopus ID2-s2.0-85105807115
Erişim🔓 Açık Erişim
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 parameter design for industrial applications of the turning processes. This study stands as the first paper representing the comparative optimization approach for cutting forces and MRR.
Yazarlar (7)
1
Mustafa Kuntoğlu
ORCID: 0000-0002-7291-9468
2
Osman Acar
3
Munish Kumar Gupta
ORCID: 0000-0002-0777-1559
4
Haci Sağlam
ORCID: 0000-0002-6598-8262
5
Murat Sarıkaya
6
Khaled Giasin
7
Danil Yurievich Pimenov
Anahtar Kelimeler
Harmonic artificial bee colony algorithm
Optimization
Response surface methodology
S/N ratio
Turning
Kurumlar
Selçuk Üniversitesi
Selçuklu Turkey
Shandong University
Jinan China
Sinop Üniversitesi
Sinop Turkey
South Ural State University
Chelyabinsk Russian Federation
University of Portsmouth
Portsmouth United Kingdom
Metrikler
28
Atıf
7
Yazar
5
Anahtar Kelime