Optimization of Process Parameters to Maximize
Ultimate Tensile Strength and Hardness of
Underwater Friction Stir Welded Aluminium Alloys
using Fuzzy Logic

Guven O

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

Corresponding Author

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

Article Details

Citation

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.