Development of a Direct Correlation of Bead Geometry, Grain Size and HAZ Width with the GMAW Process Parameters on Bead-on-plate Welds of Mild Steel

被引:19
作者
Adak, Deb Kumar [1 ]
Mukherjee, Manidipto [2 ]
Pal, Tapan Kumar [2 ]
机构
[1] Coll Engn & Management, Dept Mech Engn, Kolaghat, India
[2] Jadavpur Univ, Dept Met & Mat Engn, Kolkata, India
关键词
Gas metal arc welding; Bead-on-plate; Multiple linear regression analysis; Weld characteristics; HEAT-AFFECTED ZONE; MONTE-CARLO-SIMULATION; SENSITIVITY-ANALYSIS; PREDICTION; GROWTH;
D O I
10.1007/s12666-015-0518-8
中图分类号
TF [冶金工业];
学科分类号
0806 ;
摘要
In this study, an experimental work was conducted to correlate the effect of gas metal arc welding (GMAW) process parameters such as wire feed speed, voltage, and contact tip to work piece distance along with interactive variables on bead-on-plate weld characteristics using multiple linear regression analysis and ANOVA (analysis of variance). The different responses such as convexity index, depth of penetration, reinforcement area, deposition rate, width of heat affected zone (HAZ), weld metal grain size and HAZ grain size were studied. The aim of the present investigation is to develop multiple linear regression equations to predict different responses (outputs) as a function of multiple input variables for 'bead-on-plate' type GMAW process. Multiple linear regression equations were first developed for weld bead geometry as a function of several individual and interactive variables. Then an effort was made to effectively predict the grain structure of the weldments as a function of multiple variables. Predicted responses are very close and sometime superimposed on the actual responses which clearly indicate the adequacy of the regression equations.
引用
收藏
页码:839 / 849
页数:11
相关论文
共 18 条
  • [1] Effect of increasing deposition rate on the bead geometry of submerged arc welds
    Chandel, RS
    Seow, HP
    Cheong, FL
    [J]. JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 1997, 72 (01) : 124 - 128
  • [2] FRANCIS RE, 1990, WELD J, V69, pS408
  • [3] Global versus cluster-wise regression analyses for prediction of bead geometry in MIG welding process
    Ganjigatti, J. P.
    Pratihar, Dilip Kumar
    Choudhury, A. Roy
    [J]. JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2007, 189 (1-3) : 352 - 366
  • [4] Gunaraj V, 2000, WELD J, V79, p331S
  • [5] Prediction and comparison of the area of the heat-affected zone for the bead-on-plate and bead-on-joint in submerged arc welding of pipes
    Gunaraj, V
    Murugan, N
    [J]. JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 1999, 95 (1-3) : 246 - 261
  • [6] Gunaraj V, 2000, WELD J, V79, p286S
  • [7] Gunaraj V, 2002, WELD J, V1, p94s
  • [8] Experimental study and modeling of GTA welding process
    Jou, M
    [J]. JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME, 2003, 125 (04): : 801 - 808
  • [9] Sensitivity analysis for process parameters influencing weld quality in robotic GMA welding process
    Kim, IS
    Jeong, YJ
    Son, IJ
    Kim, IJ
    Kim, JY
    Kim, IK
    Yaragada, PKDV
    [J]. JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2003, 140 : 676 - 681
  • [10] Sensitivity analysis for process parameters in GMA welding processes using a factorial design method
    Kim, IS
    Son, KJ
    Yang, YS
    Yaragada, PKDV
    [J]. INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2003, 43 (08) : 763 - 769