Optimization of process parameters in friction stir welding of dissimilar aluminum alloys (AA6061-T6 and AA5052-H32)

被引:11
作者
Heramo, Wondu Tesfaye [1 ,2 ]
Workneh, Henok Zewdu [1 ]
机构
[1] Addis Ababa Univ, Addis Ababa Inst Technol, Sch Mech & Ind Engn, King George 6St, Addis Ababa 1000, Ethiopia
[2] Dilla Univ, Coll Engn & Technol, Sch Mech & Automot Engn, 419, Dilla, Ethiopia
关键词
Friction stir welding; Parameter optimization; Microstructure; Grey relation analysis; Pin profile; AA6061-T6 and AA5052-H32; TENSILE-STRENGTH;
D O I
10.1007/s00170-023-12546-z
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Friction stir welding (FSW) is a solid-state welding method for the welding of aluminum alloys and has been used in aerospace, railway, automotive, and marine applications. Solid-state welding processes solve several problems that occur during fusion welding of Al-alloys like HAZ liquation cracking, porosity, and segregation. Aluminum alloys of two different series AA5052 and AA6061 thickness of 6 mm are FS welded using process parameters like tool rotational speed (900, 1100, 1400) rpm, transverse speed (40, 50, 60) mm/min, and pin profiles (cylindrical, conical, and square). This article aims to optimize the mechanical and metallurgical properties of the above dissimilar combination to evaluate the performance and characteristics of the welded joints. The combined Taguchi and Grey relation analysis experimental method was chosen to construct the number of welding experiments. The plates are successfully welded, and the welded plates are tested at room temperature to examine their tensile strength and hardness. The findings indicate that the maximum tensile strength of 183.04 MPa, which is 79.58% with AA5052-H32 and 59.05% with AA6061-T6 individually of the base material strength and the square pin profile, the rotational speed of 1400 rpm, and the transverse speed of 40 mm/min are the optimum parameters for joining these dissimilar joints. Tool pin profile has the most prominent FSW process parameters, with a 54.15% contribution.
引用
收藏
页码:4473 / 4489
页数:17
相关论文
共 27 条
[1]  
Albannai AI, 2020, International journal of scientific and technology research, V9, P318
[2]  
[Anonymous], 2013, STANDARD TEST METHOD, DOI [DOI 10.1520/E0008, 10.1520/E0008]
[3]   Friction based solid state welding techniques for transportation industry applications [J].
Baffari, D. ;
Buffa, G. ;
Campanella, D. ;
Fratini, L. ;
Micari, F. .
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON MANUFACTURING OF LIGHTWEIGHT COMPONENTS: MANULIGHT 2014, 2014, 18 :162-167
[4]   Influence of Friction Stir Welding Parameters on Dissimilar Joints AA6061-T6 and AA5052-H32 [J].
Balamurugan, S. ;
Jayakumar, K. ;
Subbaiah, K. .
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2021, 46 (12) :11985-11998
[5]  
Balamurugan S., 2020, TIER RZTLICHE PRAXIS, V40, P1305
[6]   Use of the grey relational analysis to determine optimum laser cutting parameters with multi-performance characteristics [J].
Caydas, Ulas ;
Hascalik, Ahmet .
OPTICS AND LASER TECHNOLOGY, 2008, 40 (07) :987-994
[7]   CONTROL-PROBLEMS OF GREY SYSTEMS [J].
DENG, JL .
SYSTEMS & CONTROL LETTERS, 1982, 1 (05) :288-294
[8]   Multi-objective Optimization of FSW Process Parameters of Aluminium Alloy Using Taguchi-Based Grey Relational Analysis [J].
Ghetiya, N. D. ;
Patel, K. M. ;
Kavar, A. J. .
TRANSACTIONS OF THE INDIAN INSTITUTE OF METALS, 2016, 69 (04) :917-923
[9]   Tensile and wear behaviour of friction stir welded AA5052 and AA6101-T6 aluminium alloys: effect of welding parameters [J].
Kasirajan, G. ;
Rengarajan, Sathish ;
Ashok Kumar, R. ;
Raghav, G. R. ;
Rao, V. S. ;
Nagarajan, K. J. .
METALLURGICAL RESEARCH & TECHNOLOGY, 2020, 117 (04)
[10]   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