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

EasyChair Preprint no. 9083, version 2

Versions: 12history
8 pagesDate: November 16, 2022

Abstract

Metal Inert Gas (MIG) welding is a procedure in which a wire electrode is heated and fed into the weld pool continuously from a welding gun. In this present work, bead geometry like bead width (BW), depth of penetration (DOP) and height of reinforcement (HOR) has been a using a mathematical model. The parameters of a weld bead 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), voltage (V) and welding speed (WS) on the bead geometry parameters. The material is that has been selected is Al 1200 for the present work due to its widespread utility in manufacturing pipelines, shipbuilding industry and general fabrication work. A mathematical correlation between the bead and the input 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 the parameters was done to have the desired levels of the parameters of bead within the selected working range. Response surface methodology is used to analyse the graphical results. The final` 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}}
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