Paper Title

An Evaluative Characterization of Various Welding Indices on Bead characteristics in Submerged Arc Welding (SAW)

Authors

MUNISH BABORIA , JASPREET KOUR

Keywords

Bead, current, electrode, flux, submerged arc welding (SAW), wire feed rate

Abstract

Welding is one of the important materials joining process that has drawn attention of many researchers. From time-to-time researches are being done in order to estimate and improve the quality of weld obtained in the joining process. Submerged-arc welding process is main focus of research for couple of years owing to its high productivity coupled with satisfactory penetration, simple joint design and easy weld control. All these indices are the functions of welding parameters. In the present work an attempt has been made to investigate some basic aspects like the bead geometry, the mode of metal transfer, the variations in microstructures during welding process. The effects of welding variables such as current, voltage, wire feed rate, carriage speed and number of passes on the above aspects of SAW are characterized and evaluated accordingly.

How To Cite

"An Evaluative Characterization of Various Welding Indices on Bead characteristics in Submerged Arc Welding (SAW)", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.8, Issue 3, page no.865 - 872, March-2023, Available :https://ijsdr.org/papers/IJSDR2303139.pdf

Issue

Volume 8 Issue 3, March-2023

Pages : 865 - 872

Other Publication Details

Paper Reg. ID: IJSDR_204655

Published Paper Id: IJSDR2303139

Downloads: 000347157

Research Area: Mechanical Engineering 

Country: Jammu, Jammu and Kashmir, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2303139

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2303139

About Publisher

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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