Optimization of Process Parameters to Maximize Ultimate Tensile Strength and Hardness of Underwater Friction Stir Welded Aluminium Alloys using Fuzzy Logic
Modern Concepts in Material Science • 2020
Publication Information
Authors
I brahim Sabry, Nabil Gadallah, M Abdel Ghafaar and MM Abdel-Mottaleb
Keywords
Friction stir welding; Fuzzy logic; Tensile strength; Hardness test
Journal
Modern Concepts in Material Science
Publisher
Not Available
Volume
3
Issue
2
Pages
73–78.
publication.type
International
Paper Link
Open Link
Supplementary Materials
Not Available
Abstract
This paper addresses the development of a fuzzy model for weld quality prediction. Significant underwater friction stir welding parameters affecting the weld quality are rotational speed, traverse speed, and tool shoulder diameter. Welding experiment is performed on AA 1050 aluminium pipes by central composite design to attain maximum tensile strength and hardness of the weld joint. Quality of weld measured in terms of tensile strength and hardness is predicted using fuzzy logic and the results are compared with statistical analysis. Confirmatory experimental results show that the fuzzy model can predict an adequate output with less error than statistical analysis.
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