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

被引:89
作者
Kuntoglu, Mustafa [1 ]
Aslan, Abdullah [2 ]
Pimenov, Danil Yurievich [3 ]
Giasin, Khaled [4 ]
Mikolajczyk, Tadeusz [5 ]
Sharma, Shubham [6 ]
机构
[1] Selcuk Univ, Technol Fac, Mech Engn Dept, TR-42130 Selcuklu, Konya, Turkey
[2] Selcuk Univ, Engn & Architecture Fac, Mech Engn Dept, TR-42550 Aksehir, Konya, Turkey
[3] South Ural State Univ, Dept Automated Mech Engn, Lenin Prosp 76, Chelyabinsk 454080, Russia
[4] Univ Portsmouth, Sch Mech & Design Engn, Portsmouth PO1 3DJ, Hants, England
[5] UTP Univ Sci & Technol, Dept Prod Engn, Al Prof S Kaliskiego 7, PL-85796 Bydgoszcz, Poland
[6] IKG Punjab Tech Univ, Dept Mech Engn, Jalandhar Kapurthala Rd, Kapurthala 144603, Punjab, India
关键词
vibration; surface roughness; turning; response surface methodology; analysis of variance; METAL-MATRIX COMPOSITES; MIXED CERAMIC TOOLS; MECHANICAL-PROPERTIES; MACHINING PARAMETERS; STATISTICAL-ANALYSIS; PREDICTION; WEAR; MACHINABILITY; TI-6AL-4V; TAGUCHI;
D O I
10.3390/ma13194242
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
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 (R-a) 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 V-c = 190 m/min, f = 0.06 mm/rev, kappa = 60 degrees 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.
引用
收藏
页数:21
相关论文
共 58 条
[1]   Taguchi Robust Design for Optimizing Surface Roughness of Turned AISI 1045 Steel Considering the Tool Nose Radius and Coolant as Noise Factors [J].
Abbas, Adel T. ;
Ragab, Adham E. ;
Benyahia, Faycal ;
Soliman, Mahmoud S. .
ADVANCES IN MATERIALS SCIENCE AND ENGINEERING, 2018, 2018
[2]   Optimizing Cutting Conditions for Minimum Surface Roughness in Face Milling of High Strength Steel Using Carbide Inserts [J].
Abbas, Adel Taha ;
Ragab, Adham Ezzat ;
Al Bahkali, Essam Ali ;
El Danaf, Ehab Adel .
ADVANCES IN MATERIALS SCIENCE AND ENGINEERING, 2016, 2016
[3]   Surface roughness prediction based on cutting parameters and tool vibrations in turning operations [J].
Abouelatta, OB ;
Mádl, J .
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2001, 118 (1-3) :269-277
[4]  
Alsaran A, 2002, MATER CHARACT, V49, P171, DOI [10.1016/S1044-5803(03)00008-1, 10.1016/S1044-5803(02)00008-1]
[5]   The investigation of mechanical properties of ion-nitrided AISI 5140 low-alloy steel [J].
Alsaran, A ;
Karakan, M ;
Çelik, A .
MATERIALS CHARACTERIZATION, 2002, 48 (04) :323-327
[6]   Structural characterization of ion-nitrided AISI 5140 low-alloy steel [J].
Alsaran, A ;
Çelik, A .
MATERIALS CHARACTERIZATION, 2001, 47 (3-4) :207-213
[7]   The mechanical properties of composite materials recycled from waste metallic chips under different pressures [J].
Aslan, A. ;
Salur, E. ;
Gunes, A. ;
Sahin, O. S. ;
Karadag, H. B. ;
Akdemir, A. .
INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY, 2019, 16 (09) :5259-5266
[8]   Optimization and analysis of process parameters for flank wear, cutting forces and vibration in turning of AISI 5140: A comprehensive study [J].
Aslan, Abdullah .
MEASUREMENT, 2020, 163
[9]   Mechanical properties and microstructure of composites produced by recycling metal chips [J].
Aslan, Abdullah ;
Gunes, Aydin ;
Salur, Emin ;
Sahin, Omer Sinan ;
Karadag, Hakan Burak ;
Akdemir, Ahmet .
INTERNATIONAL JOURNAL OF MINERALS METALLURGY AND MATERIALS, 2018, 25 (09) :1070-1079
[10]   Optimization of drilling parameters for drilling of TI-6Al-4V based on surface roughness, flank wear and drill vibration [J].
Balaji, M. ;
Rao, K. Venkata ;
Rao, N. Mohan ;
Murthy, B. S. N. .
MEASUREMENT, 2018, 114 :332-339