Optimization of Machining Parameters in Turning of Titanium (Grade-5) Alloy Using Response Surface Methodology

被引:50
作者
Chauhan, S. R. [1 ]
Dass, Kali [1 ]
机构
[1] Dept Mech Engn NIT, Hamirpur 177005, HP, India
关键词
Response surface methodology; Surface roughness; Tangential force; ROUGHNESS PREDICTION; FACTORIAL DESIGN; STEEL; MODEL;
D O I
10.1080/10426914.2011.593236
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In this study, the performance of polycrystalline diamond (PCD) cutting insert has been described using response surface methodology (RSM) for turning of titanium (Grade-5) alloy. The machining parameters such as cutting speed, feed rate, depth of cut, and approach angle of the cutting edge have been considered in the investigations. The surface roughness and tangential forces are the response variables for investigations. The experimental plan used for four factors at three levels was based on face centered, central composite design (CCD) using RSM. The experimental results obtained indicate that the surface roughness increases with increase in the cutting speed and the feed rate, and decreses with decrese in approach angle and depth of cut, whereas the tangential force increases with increase in approach angle and depth of cut, and decreases with decrease in cutting speed and feed rate.
引用
收藏
页码:531 / 537
页数:7
相关论文
共 17 条
[11]   Optimization of tool geometry parameters for turning operations based on the response surface methodology [J].
Neseli, Suleyman ;
Yaldiz, Suleyman ;
Turkes, Erol .
MEASUREMENT, 2011, 44 (03) :580-587
[12]   Application of response surface methodology in describing the performance of coated carbide tools when turning AISI 1045 steel [J].
Noordin, MY ;
Venkatesh, VC ;
Sharif, S ;
Elting, S ;
Abdullah, A .
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2004, 145 (01) :46-58
[13]   Surface roughness analysis in machining of titanium alloy [J].
Ramesh, S. ;
Karunamoorthy, L. ;
Palanikumar, K. .
MATERIALS AND MANUFACTURING PROCESSES, 2008, 23 (02) :175-182
[14]   Fuzzy modeling and analysis of machining parameters in machining titanium alloy [J].
Ramesh, S. ;
Karunamoorthy, L. ;
Palanikumar, K. .
MATERIALS AND MANUFACTURING PROCESSES, 2008, 23 (3-4) :439-447
[15]   Surface roughness model in machining hardened steel with cubic boron nitride cutting tool [J].
Sahin, Y. ;
Motorcu, A. R. .
INTERNATIONAL JOURNAL OF REFRACTORY METALS & HARD MATERIALS, 2008, 26 (02) :84-90
[16]   A genetic algorithmic approach for optimization of surface roughness prediction model [J].
Suresh, PVS ;
Rao, PV ;
Deshmukh, SG .
INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2002, 42 (06) :675-680
[17]   Effect of cutting edge geometry and workpiece hardness on surface generation in the finish hard turning of AISI 52100 steel [J].
Thiele, JD ;
Melkote, SN .
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 1999, 94 (2-3) :216-226