Proceedings of the International Conference on Communication and Signal Processing 2016 (ICCASP 2016)

Shielded Metal Arc Welding Electrode Selection Using Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) Method

Authors
Raj Bansode, Sanjaykumar Gangurde
Corresponding Author
Raj Bansode
Available Online December 2016.
DOI
https://doi.org/10.2991/iccasp-16.2017.3How to use a DOI?
Keywords
Shielded Metal Arc Welding, welding electrodes, TOPSIS
Abstract
An important factor in welding process is selection of appropriate welding electrode. If a wrong welding electrode is selected then it may give rise to various welding defects and ultimately lead to failure of weld. In this paper, best welding electrode is selected from available alternatives of general purpose electrodes for mild steel for Shielded Metal Arc Welding process (SMAW). The selection is done by using Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. The results are then compared with other Multi Attribute Decision Making (MADM) methods; Simple Additive Weighing (SAW), Weighted Product Method (WPM), Modified TOPSIS. The best ranked electrode by all the methods is then selected as the best welding electrode from available alternatives.
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Proceedings
International Conference on Communication and Signal Processing 2016 (ICCASP 2016)
Part of series
Advances in Intelligent Systems Research
Publication Date
December 2016
ISBN
978-94-6252-305-0
DOI
https://doi.org/10.2991/iccasp-16.2017.3How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Raj Bansode
AU  - Sanjaykumar Gangurde
PY  - 2016/12
DA  - 2016/12
TI  - Shielded Metal Arc Welding Electrode Selection Using Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) Method
BT  - International Conference on Communication and Signal Processing 2016 (ICCASP 2016)
PB  - Atlantis Press
UR  - https://doi.org/10.2991/iccasp-16.2017.3
DO  - https://doi.org/10.2991/iccasp-16.2017.3
ID  - Bansode2016/12
ER  -