Main Article Content
Weld deformation which directly contributes to failures of welded components, has been a real time challenge in the manufacturing industry. To resolve this challenges, subtle manipulation of input process parameters is recommended by Researchers. This manipulation of input process parameters is done through the application of optimization methods hence this study.
In this study, the Simple Additive Weighting (SAW) method was used. This method was categorized into four groups, which are namely, linear scale transformation-Max method; linear scale transformation-Sum method; Vector normalization method and linear scale transformation-Max Min method. Each of these SAW methods was used to optimize the output parameters, which were classified as maximum criteria. It was noticed from the analysis, that the higher the values of the mechanical properties, the better the weldquality obtained and from using the linear scale transformation maximum method, weldment 7 was found to possess the best mechanical properties with ultimate tensile strength (UTS) of 395MPa, Impact energy (CVN) of 250J, Bead Height(BH) of 1.98 mm and Bead Width (BW) of4.82mmwas found to possess the best input and output parameters.
Achebo JI Odinikuku WE. Optimization of gas metal arc welding process parameters using standard deviation (SDV) and multi-objective optimization on the basis of ration analysis (MOORA). Journal of Minerals and Materials Characterization and Engineering. 2015;3:298-308.
Etin-Osa D, Etin-Osa CE. “Forensic Science and the Nigerian Society”. Journal of Nuclear Sciences. p-ISSN: 2147-7736, e-ISSN: 2148-3981; 2019.
Achebo JI. Optimization of GMAW protocols and parameters for improving weld strength quality applying the taguchi method. Proceeding of the World Congress on Engineering, WCE, London. 2011;1:6-8.
Etin-Osa CE, Achebo JI, Obahiagbon KO. Design and fabrication of portable weld residual stress measuring device using mbn principle. NIPES Journal of Science and Technology Research. 2020;2(3)70-84.
Kim D, Kang M, Rhee S. Determination of optimal welding conditions with a controlled random search procedure. Welding Journal. 2005;125-130.
Afshari A, Mojahed M, Yusuff RM. Simple Additive Weighting approach to personnel selection problem. International journal of innovation, management and technology, vol.1. 2010;5:511-515.
Venkadeshwaran P, Sakthivel R, Sridevi, R, Ahmed Meeran R. optimization of welding parameters on AA2014 in GMAW. International journal of emerging Technology and Innovative Engineering, vol .1. 2015;2.
Achebo J, Omoregie M. Application of multi-criteria decision making optimization tool for determining mild steel weld properties and process parameters using the tools. International Journal of Materials Science And Applications. 2015;4(3):149-158.
Omoregie MJ, Achebo JI. performance evaluation of welding process using the WASPAS method. International Journal of engineering science and technology, vol.7. 2015;9:334-340.