Research Article
Optimization of Process Parameters to Maximize Ultimate Tensile Strength and Hardness of Underwater Friction Stir Welded Aluminium Alloys using Fuzzy Logic
Ibrahim Sabry1*, Nabil Gadallah2, M Abdel Ghafaar2 and MM Abdel-Mottaleb3
1Mechanical Engineering Department, Higher Future Institute of Engineering and Technology, Egypt
2Manufacturing Engineering Department, Modern Academy for Engineering and Technology, Egypt
3Akbar El Yom Academy, Department of Production Engineering, Egypt
Ibrahim Sabry, Manufacturing Engineering Department, Modern Academy for Engineering and Technology, PO Box, Cairo 11571, Egypt.
Received Date: February 22, 2020; Published Date: March 31, 2020
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.
Keywords: Friction stir welding; Fuzzy logic; Tensile strength; Hardness test
-
Ibrahim Sabry, Nabil Gadallah, M Abdel Ghafaar, MM Abdel-Mottaleb . Optimization of Process Parameters to Maximize Ultimate Tensile Strength and Hardness of Underwater Friction Stir Welded Aluminium Alloys using Fuzzy Logic. Mod Concept Material Sci. 3(1): 2020. MCMS. MS.ID.000551.
-
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.