Open AccessEffects of process parameters on mechanical and metallurgical properties of AA5083 weld bead and optimization by using Taguchi based grey relational analysis and ANOVA of submerged friction stir welding.
Author(s) -
Laxmana Raju Salavaravu,
Lingaraju Dumpala
Publication year - 2021
Publication title -
maǧallaẗ al-abḥāṯ al-handasiyyaẗ
Language(s) - English
Resource type - Journals
eISSN - 2307-1885
pISSN - 2307-1877
DOI - 10.36909/jer.10001
Subject(s) - grey relational analysis , friction stir welding , taguchi methods , rotational speed , orthogonal array , welding , materials science , indentation hardness , ultimate tensile strength , joint (building) , design of experiments , process (computing) , process variable , surface roughness , composite material , structural engineering , mechanical engineering , engineering , mathematics , computer science , microstructure , statistics , mathematical economics , operating system
Friction stir welding (FSW) can be made to improve the mechanical properties in the weld zone. This article aims to obtain the optimum FSW process parameters used for two plates of AA5083 welded joints. The significant factors in the FSW process are tool rotational speed(TRS), tool transverse speed(TTS), and the weld process conditions are Submerged FSW and Normal FSW. For doing the investigation, the Taguchi method L18 orthogonal array design of experimentation is utilized. Using the Grey Relational Analysis(GRA) to calculate the grey relation grade, the response parameters are tensile strength, microhardness, and surface roughness. The Optimum process parameters contain been recognized, and ANOVA controls the significant contribution of process parameters. The optimal FSW process parameters are used to maximize the FSW joint strength. It is identified in the condition of Submerged FSW, high tool rotational speed, and low TTS.