Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

Optimization of Welding Process Parameters using the MOORA Method

Optimization of Welding Process Parameters using the MOORA Method

Abstract

In order to increase the overall quality and effectiveness of the welding process, it is necessary to methodically and effectively identify the ideal combination of welding factors utilising the Multi-objective Optimisation Based on Ratio Analysis technique. A multi-criteria decision-making process called MOORA assesses several welding parameters and the conditions that go along with them in order to improve welding quality, boost output, and cut down on defects. The possibility of Multi-objective Optimisation Based on Ratio Analysis to contribute to developments in the fields of welding and fabrication is what makes this study topic so important. In order to increase the overall effectiveness, efficacy, and quality of the welding process, researchers and engineers can use MOORA to systematically evaluate and optimise welding factors. An evaluation and ranking of options based on numerous criteria or objectives are done using the Multi-Objective Optimisation Based on Ratio Analysis approach of decision-making. It offers a methodical way to assess several possibilities and choose the best course of action. In Multi-Objective Optimisation Based on Ratio Analysis method, the decision problem is typically characterized by several criteria or objectives that need to be considered simultaneously. These criteria could be quantitative or qualitative & can represent various aspects of the problem, such as cost, quality, efficiency, and performance. Alternate Parameters taken as Wielding process parameters 1 to 7. Evaluation Parameters taken as Bandwidth, Reinforcement, Penetration, Width of HAZ. From the rank table in result we can get that wielding process parameters 4 has the first rank whereas wielding process parameters 1 has the last rank (seventh rank). the first ranking wielding process parameters 4 is obtained with the lowest quality of wielding process parameters 1

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!