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Periodica polytechnica. Mechanical engineering - Mas̆inostroenie, 2022-10, Vol.66 (4), p.282-288
2022

Details

Autor(en) / Beteiligte
Titel
Multi-attribute Optimization of Weld Parameters for Micro-friction Stir Welded Al6061/SS304 Sheets Using TOPSIS Approach
Ist Teil von
  • Periodica polytechnica. Mechanical engineering - Mas̆inostroenie, 2022-10, Vol.66 (4), p.282-288
Ort / Verlag
Budapest: Periodica Polytechnica, Budapest University of Technology and Economics
Erscheinungsjahr
2022
Link zum Volltext
Quelle
EZB Electronic Journals Library
Beschreibungen/Notizen
  • Friction stir welding (FSW) is a solid-state welding approach that can produce high quality joints in a fast and reliable manner. The present study is focused on optimization of multi-responses for micro-friction stir welded Al6061-T6 and SS304 sheets. Weld-parameters such as tool-rotational speed (TRS) and tool-traverse speed (TTS) influenced the mechanical responses of dissimilar welded joints significantly. In order to determine the effect of optimum process parameters on mechanical responses such as ultimate-tensile strength (UTS), micro-hardness (MHV) and surface-roughness (Ra) of dissimilar welded joints, an attempt has been made to find out the best possible set of process variables through multi-attribute optimization using technique for order of preference by similarity to ideal solution (TOPSIS) approach. Finally, the optimal solution shows that multi-responses of micro-friction stir welds can be improved through TOPSIS approach.

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