Optimization of process parameters of metal inert gas welding with preheating on AISI 1018 mild steel using grey based Taguchi method

被引:47
作者
Kumar, Sudhir [1 ]
Singh, Rajender [1 ]
机构
[1] Guru Jambheshwar Univ Sci & Technol, Dept Mech Engn, Hisar 125001, Haryana, India
关键词
MIG welding; Grey based Taguchi method; Optimization; Preheating; Tensile test; ANOVA; AUSTENITIC STAINLESS-STEEL; MULTIPLE-REGRESSION; BEAD GEOMETRY; WELDED-JOINT; ARC; PREDICTION; QUALITY; GMAW; MICROSTRUCTURE; TOUGHNESS;
D O I
10.1016/j.measurement.2019.106924
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Welding processes form an integral part of manufacturing industries and construction works. Among all the welding processes available, MIG welding is the widely used welding process due to its versatility and higher productivity. In this research work, AISI 1018 mild steel samples have been welded in V-butt joint configuration using MIG welding. The design of experiment is Taguchi based Orthogonal Array (L-9). Effect of process parameters such as current, voltage and preheat temperature has been studied and welds are examined using X-ray radiographic tests. Weld quality has been assessed in terms of tensile properties of weldments such as ultimate tensile strength and percentage elongation. Process parameters have been optimized using grey based Taguchi methodology. Further, analysis of variance has been done to ascertain the influence of input parameters on response parameters. Experimental results show that to achieve optimum ultimate tensile strength and percentage elongation of weldments, preheat temperature turns out to be the most effective input parameter followed by welding current and voltage. A mathematical model has been developed using multiple regression equations. In the end, a confirmatory experiment with optimized parameters from the analysis has also been performed to confirm the results. (C) 2019 Elsevier Ltd. All rights reserved.
引用
收藏
页数:12
相关论文
共 52 条
  • [1] Ahire PG, 2018, Proc. Manuf., V20, P106, DOI DOI 10.1016/J.PROMFG.2018.02.015
  • [2] RBF-NN-based model for prediction of weld bead geometry in Shielded Metal Arc Welding (SMAW)
    Ahmed, Ali N.
    Noor, C. W. Mohd
    Allawi, Mohammed Falah
    El-Shafie, Ahmed
    [J]. NEURAL COMPUTING & APPLICATIONS, 2018, 29 (03) : 889 - 899
  • [3] Study the effect of shielded metal arc welding process parameters, cryo-treatment and preheating on welding characteristics and modelling by an artificial neural network
    Ali, M. S.
    Rao, C. S.
    Rao, D. N.
    [J]. AUSTRALIAN JOURNAL OF MECHANICAL ENGINEERING, 2014, 12 (02) : 195 - 207
  • [4] ASME Boiler and Pressure Vessel Code: An International Code, 2017, SECT 2 MAT C
  • [5] Effect of process parameters on toughness and metallurgical behaviour during uniaxial automatic gas metal arc welding of austenitic stainless steel AISI 316
    Bhattacharya, Anirban
    Bera, Tarun Kumar
    Suri, Vinod Kumar
    [J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART L-JOURNAL OF MATERIALS-DESIGN AND APPLICATIONS, 2016, 230 (04) : 869 - 878
  • [6] Bhopale S, 2017, MATER TODAY-PROC, V4, P2445, DOI 10.1016/j.matpr.2017.02.096
  • [7] Bohnart Edward R., 2014, WELDING PRINCIPLES P, P86
  • [8] Optimising the welding conditions to determine the influence of shielding gas on fume formation rate and particle size distribution for gas metal arc welding
    Carpenter, K. R.
    Monaghan, B. J.
    Cuiuri, D.
    Norrish, J.
    [J]. WELDING IN THE WORLD, 2017, 61 (03) : 473 - 481
  • [9] Deformation prediction and quality evaluation of the gas metal arc welding butt weld
    Casalino, G
    Hu, SJ
    Hou, W
    [J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE, 2003, 217 (11) : 1615 - 1622
  • [10] Evaluation of MIG welding process parameter using Activated Flux on SS316L by AHP-MOORA method
    Chaudhari, Pavan G.
    Patel, Priyank B.
    Patel, Jaksan D.
    [J]. MATERIALS TODAY-PROCEEDINGS, 2018, 5 (02) : 5208 - 5220