Optimization of the Mechanical Property of Friction Stir Welded Heat Treatable Aluminum Alloy by using Bio-Inspired Artificial Intelligence Algorithms

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Published Sep 22, 2022
DOI https://doi.org/10.3221/IGF-ESIS.62.31

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Akshansh Mishra
School of Industrial and Information Engineering, Politecnico Di Milano, Milan, Italy
https://orcid.org/0000-0003-4939-359X Anish Dasgupta
Artificial Intelligence Analytics, Cognizant Technology Solutions, India

Abstract

The concepts and inspiration of biological evolution in nature are used to create new and effective competing tactics in the burgeoning field of bio-inspired computing optimization algorithms. In the present work, nine specimens of similar alloys i.e., AA6262 were Friction Stir Welded. Spindle Speed (RPM), Traverse Speed (mm/min), and Plunge Depth (mm) were the input parameters while the Ultimate Tensile Strength (MPa) was an output parameter. The main objective of the work is to obtain the maximum optimized Ultimate Tensile Strength (MPa) by using Bio-Inspired Artificial Intelligence Algorithms i.e., Differential Evolution and Max Lipschitz optimization (Max LIPO) Algorithm. The results showed that the Differential Evolution algorithm resulted in a slightly higher value of the Ultimate Tensile Strength in comparison to the Max LIPO algorithm.

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    Issue
    Vol. 16 No. 62 (2022): October 2022
    Section
    Advanced Manufacturing and Processing

    How to Cite

    Mishra, A. and Dasgupta, A. (2022) “Optimization of the Mechanical Property of Friction Stir Welded Heat Treatable Aluminum Alloy by using Bio-Inspired Artificial Intelligence Algorithms”, Frattura ed Integrità Strutturale, 16(62), pp. 448–459. doi: 10.3221/IGF-ESIS.62.31.
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