Multi-response optimization of CNC turning parameters of austenitic stainless steel 303 using Taguchi-based grey relational analysis

被引：15
作者：
Bharathi, S. R. Sundara [1 ]
Ravindran, D. [1 ]
Moshi, A. Arul Marcel [1 ]
机构：
[1] Natl Engn Coll, Dept Mech Engn, Kovilpatti 628503, Tamil Nadu, India
来源：
TRANSACTIONS OF THE CANADIAN SOCIETY FOR MECHANICAL ENGINEERING | 2020年 / 44卷 / 04期
关键词：
grey relational analysis; turning operation; stainless steel 303; morphology study; regression model; MACHINING PARAMETERS; OPERATIONS; ALLOY; TOOLS; ANN;
D O I：
10.1139/tcsme-2019-0254
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
Extensive research has been carried out to optimize the process parameters of several machining processes. Optimizing the influencing parameters of the turning operation is a precise action that determines the desired level of quality. This study focuses on the multi-criteria optimization of the CNC turning process parameters of stainless steel 303 (SS 303) material to achieve minimum surface roughness (Ra) with maximum material removal rate (MRR) by means of Taguchi-based grey relational analysis. A CNC machine was tested following Taguchi's L-9 orthogonal array design. Grey relational analysis was used as the multi-criteria optimization tool. The significance of each individual process parameter on the overall characteristics of the turned specimen was estimated using analysis of variance (ANOVA). Regression equations were generated using the input factors with the selected output parameters. In addition, a morphological study of the chips produced by the turning process was carried out using SEM images in order to relate the chip geometry with the output responses.
引用
收藏
页码：592 / 601
页数：10
相关论文
共 18 条
[1]   Determining the effect of cutting parameters on surface roughness in hard turning using the Taguchi method [J].
Asilturk, Ilhan ;
Akkus, Harun .
MEASUREMENT, 2011, 44 (09) :1697-1704
[2]   Multi objective optimization of CNC turning process parameters with Acrylonitrile Butadiene Styrene material [J].
Bharathi, S. R. Sundara ;
Ravindran, D. ;
Moshi, A. Arul Marcel ;
Rajeshkumar, R. ;
Palanikumar, R. .
MATERIALS TODAY-PROCEEDINGS, 2020, 27 :2042-2047
[3]   Modeling and optimization of turning process parameters during the cutting of polymer (POM C) based on RSM, ANN, and DF methods [J].
Chabbi, A. ;
Yallese, M. A. ;
Nouioua, M. ;
Meddour, I. ;
Mabrouki, T. ;
Girardin, Francois .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2017, 91 (5-8) :2267-2290
[4]   Tool life and wear mechanisms in high speed machining of Ti-6Al-4V alloy with PCD tools under various coolant pressures [J].
da Silva, Rosemar B. ;
Machado, Alisson R. ;
Ezugwu, Emmanuel O. ;
Bonney, John ;
Sales, Wisley F. .
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2013, 213 (08) :1459-1464
[5]   Optimizing the use of dry cutting in rough turning steel operations [J].
Diniz, AE ;
de Oliveira, AJ .
INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2004, 44 (10) :1061-1067
[6]   Regression and Grey relational analysis on friction and wear behavior of AA6061/Al2O3/Si3N4/graphite hybrid nano composites [J].
Hariharasakthisudhan, P. ;
Moshi, A. Arul Marcel ;
Bharathi, S. R. Sundara ;
Logesh, K. .
MATERIALS RESEARCH EXPRESS, 2019, 6 (08)
[7]   Force modelling in shallow cuts with large negative rake angle and large nose radius tools - application to hard turning [J].
Huang, Y ;
Liang, SY .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2003, 22 (9-10) :626-632
[8]   Use of the Taguchi method and grey relational analysis to optimize turning operations with multiple performance characteristics [J].
Lin, CL .
MATERIALS AND MANUFACTURING PROCESSES, 2004, 19 (02) :209-220
[9]   Orthogonal machining introduced microstructure modification in AA7150-T651 aluminium alloy [J].
Liu, Bing ;
Zhou, Xiaorong ;
Zhang, Xinxin .
MATERIALS CHARACTERIZATION, 2017, 123 :91-98
[10]   Numerical and experimental study of dry cutting for an aeronautic aluminium alloy (A2024-T351) [J].
Mabrouki, Tarek ;
Girardin, Francois ;
Asad, Muhammad ;
Rigal, Jean-Francois .
INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2008, 48 (11) :1187-1197
12