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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
العودة
معلومات البحث
المؤلفون I brahim Sabry, Nabil Gadallah, M Abdel Ghafaar and MM Abdel-Mottaleb
الكلمات المفتاحية Friction stir welding; Fuzzy logic; Tensile strength; Hardness test
المجلة العلمية Modern Concepts in Material Science
الناشر Not Available
المجلد 3
العدد 2
الصفحات 73–78.
publication.type International
رابط البحث Open Link
المواد المرفقة Not Available
الملخص
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.