Download PDFOpen PDF in browserCurrent version

Prediction of Bead Geometry Parameters of MIG Welded Aluminium 1200 Plates by Mathematical Modelling

EasyChair Preprint no. 9083, version 1

Versions: 12history
8 pagesDate: October 24, 2022

Abstract

Metal Inert Gas welding is a process in which a continuous solid wire electrode is heated and fed into the weld pool from a welding gun. In this present work, bead geometry like depth of penetration (DOP), bead width (BW) and height of reinforcement (HOR) has been analysed using a mathematical model. Weld bead geometry parameters of a fusion weld are important from a design point of view, as they affect the joint's mechanical strength and reliability during its serviceability . The present work is focused on analysing the effect of various welding input parameters like  wire feed rate (WFR), welding speed (WS), and voltage (V) on the bead parameters. Aluminium grade 1200 has been selected for the present work due to its widespread utility in manufacturing pipelines, shipbuilding industry and general fabrication work. A mathematical correlation between the input and the bead parameters is attempted. To execute the tests in a structured manner and construct a mathematical model, the design of experiment (DOE) technique was utilised. Optimization of input parameters is done to have the desired levels of bead parameters within the selected working range. Response surface methodology (RSM) is used to analyse the results graphically. The developed model has been found to be adequate through the use of the Analysis of Variance approach.

Keyphrases: ANOVA, bead geometry, Input parameters, mathematical modeling, MIG welding, RSM

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:9083,
  author = {Sneha Rabha and Bhanu Priya Bokadia and Pradeep Khanna},
  title = {Prediction of Bead Geometry Parameters of MIG Welded Aluminium 1200 Plates by Mathematical Modelling},
  howpublished = {EasyChair Preprint no. 9083},

  year = {EasyChair, 2022}}
Download PDFOpen PDF in browserCurrent version