Scopus
🔓 Açık Erişim YÖKSİS Eşleşti
Modeling of cutting parameters and tool geometry for multi-criteria optimization of surface roughness and vibration via response surface methodology in turning of AISI 5140 steel
Materials · Ekim 2020
YÖKSİS Kayıtları
Modeling of Cutting Parameters and Tool Geometry for Multi-Criteria Optimization of Surface Roughness and Vibration via Response Surface Methodology in Turning of AISI 5140 Steel
Materials · 2020 SCI-Expanded
DOÇENT MUSTAFA KUNTOĞLU →
Makale Bilgileri
DergiMaterials
Yayın TarihiEkim 2020
Cilt / Sayfa13
Scopus ID2-s2.0-85092439272
Erişim🔓 Açık Erişim
Özet
AISI 5140 is a steel alloy used for manufacturing parts of medium speed and medium load such as gears and shafts mainly used in automotive applications. Parts made from AISI 5140 steel require machining processes such as turning and milling to achieve the final part shape. Limited research has been reported on the machining vibration and surface roughness during turning of AISI 5140 in the open literature. Therefore, the main aim of this paper is to conduct a systematic study to determine the optimum cutting conditions, analysis of vibration and surface roughness under different cutting speeds, feed rates and cutting edge angles using response surface methodology (RSM). Prediction models were developed and optimum turning parameters were obtained for averaged surface roughness (Ra) and three components of vibration (axial, radial and tangential) using RSM. The results demonstrated that the feed rate was the most affecting parameter in increasing the surface roughness (69.4%) and axial vibration (65.8%) while cutting edge angle and cutting speed were dominant on radial vibration (75.5%) and tangential vibration (64.7%), respectively. In order to obtain minimum vibration for all components and surface roughness, the optimum parameters were determined as Vc = 190 m/min, f = 0.06 mm/rev, Κ = 60° with high reliability (composite desirability = 90.5%). A good agreement between predicted and measured values was obtained with the developed model to predict surface roughness and vibration during turning of AISI 5140 within a 10% error range.
Yazarlar (6)
1
Mustafa Kuntoğlu
ORCID: 0000-0002-7291-9468
2
Abdullah Aslan
3
Danil Yurievich Pimenov
4
Khaled Giasin
5
Tadeusz Mikolajczyk
ORCID: 0000-0002-5253-590X
6
Shubham Sharma
Anahtar Kelimeler
Analysis of variance
Response surface methodology
Surface roughness
Turning
Vibration
Kurumlar
Bydgoszcz University of Science and Technology
Bydgoszcz Poland
Punjab Technical University
Jalandhar India
Selçuk Üniversitesi
Selçuklu Turkey
South Ural State University
Chelyabinsk Russian Federation
University of Portsmouth
Portsmouth United Kingdom
Metrikler
91
Atıf
6
Yazar
5
Anahtar Kelime