Structure · dataset · 2018
Optimization of Multiple Performance Characteristics of Friction Stir Welded Joint with Grey Relational Analysis
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In the present work, multi-objective optimization of the input welding parameters influencing the quality of weld joint of AA 5052 H32 aluminium alloy by FSW process is investigated using response surface methodology and grey relational analysis.
Description
The quality of the welded joint is measured based on the higher value of tensile strength and hardness of the joint obtained by experimentation. A central composite design technique consists of 31 sets of experiments using four factors and five levels are used.
Tool pin profile, rotational speed, welding speed, and tool tilt angle are selected as the significant input parameters. Analysis of variance (ANOVA) is used to analyze the effect of each input welding parameters on the output responses. Statistical results show that the developed regression model is adequate.
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Optimum levels of welding parameters are finally identified using grey relation grade. Grain structure of the welded joint is examined by observing the micro and macro structures of the weld.
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- Repository landing page scielo.figshare.com/articles/Optimization_of_Multiple_Performance_Characteristics_… ↗
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- DOI doi.org/10.6084/m9.figshare.7336445 ↗
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Documentation and papers
- Creative Commons Attribution 4.0 International creativecommons.org/licenses/by/4.0/legalcode ↗
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- IsSupplementTo 10.1590/1980-5373-mr-2017-1050 doi.org/10.1590/1980-5373-mr-2017-1050 ↗
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Topics
- Stated by source
- Chemical engineering · Materials engineering
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Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| DataCite | 10.6084/m9.figshare.7336445 | 13 d ago | JSON v1 |
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| concepts[field].fos:materials-engineering | source · DataCite | connector:datacite@1.0.0 | |
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| updated_date | source · DataCite | connector:datacite@1.0.0 |