Impact of tool geometry and friction stir welding parameters on AZ31 magnesium alloy weldment wear behaviour and process optimization

被引:6
作者
Senthilkumar, N. [1 ]
Sabari, K. [1 ]
Azhagiri, Pon [2 ]
Yuvaperiyasamy, M. [1 ]
机构
[1] Saveetha Inst Med & Tech Sci, Saveetha Sch Engn, Dept Mech Engn, Chennai, Tamil Nadu, India
[2] Anna Univ, Univ Coll Engn, Dept Mech Engn, BIT Campus, Tiruchirappalli, Tamil Nadu, India
关键词
Friction-stir welding; pin-on-disc; Taguchi's DoE; tool pin profile; ALUMINUM; STEEL; SHOULDER;
D O I
10.1080/09507116.2024.2430208
中图分类号
TF [冶金工业];
学科分类号
0806 ;
摘要
This study investigates the impact of friction-stir welding (FSW) tool pin shape (TPS) and processing variables, viz., rotation speed (RS), axial load (AL), and traverse speed (TS), on weld beads' wear characteristics as per ASTM G99 standard. Wear rate (WR), friction force (FF), and coefficient of friction (CoF) are analyzed based on Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). FSW performed with a hexagonal TPS provides a better material flow between the plates, influencing the joint's strength and improving the wear resistance of weldments. Higher RS leads to high material flashing, providing lower strength and wear properties. Changes in TPS from triangle to pentagon and from pentagon to hexagon produced higher tensile strength, at 11.16% and 12.15%, respectively. The Chimp Optimization Algorithm (ChOA) shows an optimal condition of hexagon TPS, AL of 2 kN, RS of 1800 rpm, and TS of 25 mm/min, whereas TOPSIS optimal condition are hexagon TPS, AL of 4 kN, RS of 1400 rpm, and TS of 50 mm/min. Confirmation experiments with optimal conditions shows, ChOA producing lower WR, CoF, and FF by 12.5, 2.56, and 1.54% than TOPSIS. Compared with TOPSIS, ChOA produced lower WR, CoF, and FF by 12.5%, 2.56%, and 1.54%.
引用
收藏
页码:805 / 822
页数:18
相关论文
共 63 条
[1]  
Ahmed WH., 2024, ALKEJ, V20, P39, DOI [10.22153/kej.2024.02.001, DOI 10.22153/KEJ.2024.02.001]
[2]   A Review on Friction Stir Welding/Processing: Numerical Modeling [J].
Akbari, Mostafa ;
Asadi, Parviz ;
Sadowski, Tomasz ;
Gu, Cheng ;
Mi, Gaoyang ;
Ou, Wenmin .
MATERIALS, 2023, 16 (17)
[3]   INVESTIGATION OF WEAR AND MICROSTRUCTURAL PROPERTIES OF A356/TiC COMPOSITES FABRICATED BY FSP [J].
Akbari, Mostafa ;
Asadi, Parviz ;
Asiabaraki, Hossein Rahimi .
SURFACE REVIEW AND LETTERS, 2022, 29 (10)
[4]   Effects of different cooling conditions on friction stir processing of A356 alloy: Numerical modeling and experiment [J].
Akbari, Mostafa ;
Asadi, Parviz .
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE, 2022, 236 (08) :4133-4146
[5]  
Asadi Parviz., 2022, International Journal of Lightweight Materials and Manufacture, V5, P162
[6]   Experimental studies on Friction stir processing of AZ31 Magnesium alloy [J].
Babu, J. ;
Anjaiah, M. ;
Mathew, Anoop .
MATERIALS TODAY-PROCEEDINGS, 2018, 5 (02) :4515-4522
[7]   Investigation on the changes effected by tool profile on mechanical and tribological properties of friction stir processed AZ31B magnesium alloy [J].
Balamurugan, K. Ganesa ;
Mahadevan, K. .
JOURNAL OF MANUFACTURING PROCESSES, 2013, 15 (04) :659-665
[8]   Determination of best tool geometry for friction stir welding of AA 6061-T6 using hybrid PCA-TOPSIS optimization method [J].
Banik, Abhijit ;
Saha, Abhijit ;
Barma, John Deb ;
Acharya, Uttam ;
Saha, Subhash Chandra .
MEASUREMENT, 2021, 173
[9]  
Bhojan A., 2016, Applied Mechanics and Materials, V852, P297, DOI 10.4028/www.scientific.net/AMM.852.297
[10]   An in-depth review of theory of the TOPSIS method: An experimental analysis [J].
Celikbilek, Yakup ;
Tuysuz, Fatih .
JOURNAL OF MANAGEMENT ANALYTICS, 2020, 7 (02) :281-300