Assessment of weld bead geometry in modified shortcircuiting gas metal arc welding process for low alloy steel

被引:39
作者
Bandhu, Din [1 ]
Abhishek, Kumar [1 ]
机构
[1] Inst Infrastruct Technol Res & Management IITRAM, Dept Mech & Aerosp Engn, Near Khokhara Circle,Maninagar East, Ahmadabad 380026, Gujarat, India
关键词
GMAW; modified; shortcircuiting; welding; Rao; algorithms; optimization; weld; bead; geometry; gas; flow; rate; voltage; current;
D O I
10.1080/10426914.2021.1906897
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Ever-growing needs in pipeline welding relating to quality, frequent usage of advanced, heat-sensitive, and corrosion-resistant materials alongside high production costs encourage the evaluation of a welding process thoroughly. The only way to overcome those problems is the adaptation of technically evolved welding methods that combine the goodness of cutting-edge power supply sources and advanced software configuration. One such technique is Regulated Metal Deposition (RMDTM) welding. In this context, the current study explores the influence of the regulated metal deposition (RMDTM) welding variables on ASME SA387-11-2 steels. Current (A), voltage (V), and gas flow rate (GFR) are preferred regulated metal deposition (RMD (TM)) welding variables, and at the same time the depth of penetration (DOP), heat-affected zone (HAZ), bead height (BH), and bead width (BW) are incorporated as performance evaluation attributes. Furthermore, the exploration of Rao algorithms is presented to evaluate the optimal welding settings. The obtained optimal welding settings is current = 92 A, voltage = 13 V, and gas flow rate = 21 litre/min. The results are also compared with the JAYA, and teaching learning-based optimization (TLBO) approaches to show the efficacy of the intended approach.
引用
收藏
页码:1384 / 1402
页数:19
相关论文
共 101 条
  • [11] Two-staged technique for determining ultimate tensile strength in MIG welding of mild steel
    Baloyi, Pardon
    Akinlabi, Stephen A.
    Madushele, Nkosinathi
    Adedeji, Paul A.
    Hassan, Sunir
    Mkoko, Zwelinzima
    Akinlabi, Esther T.
    [J]. MATERIALS TODAY-PROCEEDINGS, 2021, 44 : 1227 - 1234
  • [12] Bandhu D., 2017, 5 NATL C TOP TRANSCE, P98
  • [13] Bandhu D, 2017, INT J RES ENG IT SOC, V7
  • [14] Experimental investigation and optimization of RMDTM welding parameters for ASTM A387 grade 11 steel
    Bandhu, Din
    Kumari, Soni
    Prajapati, Vishalkumar
    Saxena, Kuldeep K.
    Abhishek, Kumar
    [J]. MATERIALS AND MANUFACTURING PROCESSES, 2021, 36 (13) : 1524 - 1534
  • [15] Optimization of different welding processes using statistical and numerical approaches - A reference guide
    Benyounis, K. Y.
    Olabi, A. G.
    [J]. ADVANCES IN ENGINEERING SOFTWARE, 2008, 39 (06) : 483 - 496
  • [16] Parameter Optimization of Water Distribution Network - A Hybrid Metaheuristic Approach
    Bilal
    Pant, Millie
    [J]. MATERIALS AND MANUFACTURING PROCESSES, 2020, 35 (06) : 737 - 749
  • [17] Multi-response Optimization of WEDM Parameters Using an Integrated Approach of RSM–GRA Analysis for Pure Titanium
    Chaudhari R.
    Vora J.
    Parikh D.M.
    Wankhede V.
    Khanna S.
    [J]. Vora, Jay (vorajaykumar@gmail.com), 1600, Springer (101): : 117 - 126
  • [18] Analysis of powder metallurgy process parameters for mechanical properties of sintered Fe-Cr-Mo alloy steel
    Chauhan, Sandeep
    Verma, Vikas
    Prakash, Ujjwal
    Tewari, P. C.
    Khanduja, Dinesh
    [J]. MATERIALS AND MANUFACTURING PROCESSES, 2017, 32 (05) : 537 - 541
  • [19] Chen H., 2020, WELDING PROCESS OPTI, DOI [10.1007/978-981-13-8192-8_1, DOI 10.1007/978-981-13-8192-8_1]
  • [20] Cuhel J, 2008, TPJ TUBE PIPE J FABR