Analytical estimation of thermomechanical distortion and interface layer thickness for gas metal arc lap joining of dissimilar sheets

Das, A and Chaurasia, P K and Mandal, G K and Goecke, S F and De, AMTV (2022) Analytical estimation of thermomechanical distortion and interface layer thickness for gas metal arc lap joining of dissimilar sheets. Welding in the World .

[img]PDF (Analytical estimation of thermomechanical distortion and interface layer thickness for gas metal arc lap joining of dissimilar sheets) - Accepted Version
Restricted to NML users only. Others may use ->

5Mb

Abstract

The thermomechanical distortion and the evolution of an interface layer with intermetallic phases are the two critical challenges for gas metal arc overlap joining of multimaterial sheets. Two novel analytical methods are proposed following mechanistic principles to estimate the thermomechanical distortion and the interface layer thickness. The analytically estimated results are tested rigorously with the corresponding experimentally measured results for gas metal arc joining of aluminium and steel sheets for different process conditions. Both the thermomechanical distortion and the interface layer thickness are influenced predominantly by the wire feed rate and the resulting heat input. The interface layer thickness and the thermal distortion are found to be the minimum for a heat input of 42.4 J/mm corresponding to the lowest wire feed rate of 4 m/min and the highest travel speed of 10 mm/s. The proposed analytical methods can serve as practical easy-to-use design tools for appropriate selection of process variables in gas metal arc overlapped joining of dissimilar sheets to mitigate the joint distortions and restrict excessive growth of the interface layer.

Item Type:Article
Official URL/DOI:https://10.1007/s40194-022-01426-x
Uncontrolled Keywords:Gas metal arc joining, distortion, analytical modelling, Galvanized steel, aluminium alloy, interface layer thickness, residual-stresses, welding distortion, thin sheets, AL-SL, laser, prediction, microstrue, simulation
Divisions:Material Science and Technology
ID Code:9325
Deposited By:Dr Mita Tarafder
Deposited On:30 Dec 2022 16:07
Last Modified:30 Dec 2022 16:07
Related URLs:

Repository Staff Only: item control page