%0 Conference Paper
%A Paramaguru, D.
%A Pedapati, S.R.
%A Awang, M.
%A Mohebbi, H.
%D 2018
%F scholars:10695
%I American Society of Mechanical Engineers (ASME)
%K Aluminum alloys; Friction; Friction stir welding; Mechanical properties; Regression analysis; Statistical mechanics; Tensile strength, Coefficient of determination; Confirmation test; L9 orthogonal arrays; Polynomial regression analysis; Process parameters; Statistical tools; Taguchi parametric designs; Underwater friction stir welding, Analysis of variance (ANOVA)
%R 10.1115/IMECE2018-88610
%T Mathematical model to predict tensile strength of underwater friction stir welded (UFSW) on 5052 aluminium alloys
%U https://khub.utp.edu.my/scholars/10695/
%V 2
%X In this study, AA5052 joints are fabricated by underwater friction stir welding and the process parameters are optimized for maximum UTS value by utilizing a developed mathematical model. The experiments are conducted by using Taguchi's L9 orthogonal array, and polynomial regression analysis is applied to generate the model. Statistical tools such as analysis of variance (ANOVA), coefficient of determination is applied to check the adequacy of the developed model at 95 confidence level. Type of welding tools is identified as the most influencing factor on deciding the mechanical properties of the joint, followed by tool rotational speed and tool welding speed. The optimum process parameters are identified by the Taguchi parametric design method. The results indicated that the optimum process parameters combinations for better mechanical properties is attained at tool rotational speed of 1500 rpm and tool welding speed of 100 mm/min, using taper threaded cylindrical tool. A maximum UTS value of 225.48 MPa is obtained and it is verified by confirmation test. Copyright © 2018 ASME
%Z cited By 3; Conference of ASME 2018 International Mechanical Engineering Congress and Exposition, IMECE 2018 ; Conference Date: 9 November 2018 Through 15 November 2018; Conference Code:144113