A multi criteria decision making approach for process improvement in friction stir welding of aluminium alloy

被引:65
作者
Sudhagar, S. [1 ]
Sakthivel, M. [1 ]
Mathew, Prince J. [1 ]
Daniel, S. Ajith Arul [1 ]
机构
[1] Anna Univ, Dept Mech Engn, Reg Campus, Coimbatore, Tamil Nadu, India
关键词
Friction stir welding; Aluminium; Grey relational analysis; TOPSIS; Design of experiments; Multi criteria decision making; GREY RELATIONAL ANALYSIS; TAGUCHI METHOD; MULTIOBJECTIVE OPTIMIZATION; MECHANICAL-PROPERTIES; PROCESS PARAMETERS; NEURAL-NETWORK; FUZZY TOPSIS; JOINTS; SELECTION; STRENGTH;
D O I
10.1016/j.measurement.2017.05.023
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This work is an attempt to select the optimum process parameters for friction stir welding of aluminium 2024 alloy based on multiple criteria decision making approach. The friction stir welding experiments have been conducted according to L9 orthogonal array with preferred input parameters are tool rotational speed, welding speed and tool offset. The response parameters measured are ultimate tensile strength, impact toughness and hardness of welded joint that determines quality of joint. The multi criteria decision making techniques namely Grey Relational Analysis and Technique for Order Preference by Similarity to Ideal Solution are used to find the optimum process parameter which provides maximum value of all responses. Same result is obtained through both techniques and the optimum conditions are tool rotational speed of 1000 rpm, welding speed of 80 mm/min and tool offset at 0 mm. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1 / 8
页数:8
相关论文
共 26 条
[1]   Optimization of weld characteristics of friction welded AA 6061-AA 6351 joints using grey-principal component analysis (G-PCA) [J].
Adalarasan, R. ;
Santhanakumar, M. ;
Sundaram, A. Shanmuga .
JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, 2014, 28 (01) :301-307
[2]   Taguchi optimization of process parameters in friction stir processing of pure Mg [J].
Ahmadkhaniha, D. ;
Sohi, M. Heydarzadeh ;
Zarei-Hanzaki, A. ;
Bayazid, S. M. ;
Saba, M. .
JOURNAL OF MAGNESIUM AND ALLOYS, 2015, 3 (02) :168-172
[3]   A study to estimate the tensile strength of friction stir welded AA 5059 aluminium alloy joints [J].
Babu, N. ;
Karunakaran, N. ;
Balasubramanian, V. .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2017, 93 (1-4) :1-9
[4]   Optimizing Friction Stir Welding Parameters to Maximize Tensile Strength of AA2219 Aluminum Alloy Joints [J].
Babu, S. ;
Elangovan, K. ;
Balasubramanian, V. ;
Balasubramanian, M. .
METALS AND MATERIALS INTERNATIONAL, 2009, 15 (02) :321-330
[5]   Modelling and Optimization of friction stir welding parameters for dissimilar aluminium alloys using RSM [J].
Elatharasan, G. ;
Kumar, V. S. Senthil .
INTERNATIONAL CONFERENCE ON MODELLING OPTIMIZATION AND COMPUTING, 2012, 38 :3477-3481
[6]   Optimal site selection of electric vehicle charging station by using fuzzy TOPSIS based on sustainability perspective [J].
Guo, Sen ;
Zhao, Huiru .
APPLIED ENERGY, 2015, 158 :390-402
[7]   Optimization of plasma arc welding parameters by using the Taguchi method with the grey relational analysis [J].
Hsiao, Y. F. ;
Tarng, Y. S. ;
Huang, W. J. .
MATERIALS AND MANUFACTURING PROCESSES, 2008, 23 (01) :51-58
[8]   A novel cell-selection optimization handover for long-term evolution (LTE) macrocellusing fuzzy TOPSIS [J].
Hussein, Yaseein Soubhi ;
Ali, Borhanuddin M. ;
Rasid, Mohd Fadlee A. ;
Sali, A. ;
Mansoor, Ali Mohammed .
COMPUTER COMMUNICATIONS, 2016, 73 :22-33
[9]   Optimisation of dissimilar friction stir welding parameters with grey relational analysis [J].
Kasman, Sefika .
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE, 2013, 227 (09) :1317-1324
[10]   Multi-response optimization using the Taguchi-based grey relational analysis: a case study for dissimilar friction stir butt welding of AA6082-T6/AA5754-H111 [J].
Kasman, Sefika .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2013, 68 (1-4) :795-804