Application of progressive hybrid RSM-WASPAS-grey wolf method for parametric optimization of dissimilar metal welded joints in FSSW process

Autor: Swastik Pradhan, Siddharth Jeet, Abhishek Barua, Biswas Sahu, Deepak Kumar Pradhan, Dilip Kumar Bagal
Rok vydání: 2022
Předmět:
Zdroj: Materials Today: Proceedings. 50:766-772
ISSN: 2214-7853
DOI: 10.1016/j.matpr.2021.05.471
Popis: An eco-friendly high efficiency solid state welding technique, Friction stir spot welding (FSSW) produces the welding lap joints of two dissimilar material of aluminum alloy to a commercially used copper alloy. Generally, Copper has an excellent thermal and electrical conductivity combined with creep resistance and high ductility which are used in the current carrying electrical connection and components in the automobile and electrical Industry. A number of experiments have been carried out in this paper which focus on the maximum force required to break workpiece, maximum stress developed and heat affected zone at the welding joint by changing the different parameters such as rotational speed, pin length and tool tilt angle. In this investigation, tests were completed according to Response Surface Methodology based L15 orthogonal array. The optimum welding parameters were determined by using WASPAS (weighted aggregated sum product assessment) coupled Grey Wolf Optimization method which reported pin length as the most significant constraint. Validation of the output responses was done augmenting the mechanical performances of welded joints.
Databáze: OpenAIRE