Some machine part failures have often occurred in areas of components where the strength was lowest, especially at its weld region. Presence of voids in weldments or weld joints greatly reduces the quality of the weldment. To prevent these defects, a proper optimum selection of process parameters is highly encouraged to achieve an acceptable weld mechanical property. The Complex Proportional Assessment (COPRAS) method was applied to determine the relative significance of each alternative and the quantitative utility for each alternative. The Addition Ratio Assessment (ARAS) method was applied to optimize these parameters by utilizing the weights generated using COPRAS method. In this study, the COPRAS-ARAS method which is a multi-criteria decision making tools was applied to determine the optimum process parameters to improve the mechanical properties of the weldment. From applying these methods, it was found that weldments 7, possess the optimum input process parameters. The corresponding mechanical properties of ultimate tensile strength (UTS) of 395MPa, absorbed impact strength (CVN) of 250J, Bead height (BH) of 1.98mm and Bead width (BW) of 4.82mm was found to possess the best mechanical properties.
C.E. Etin-Osa, J. I. Achebo and K. O. Obahiagbon. (2020). Design and Fabrication of Portable Weld Residual Stress Measuring Device using MBN Principle. NIPES Journal of Science and Technology Research 2(3) pp. 70-84.
Boumerzoug, Z., Derfouf, C. and Baudin, T. (2010). Effects of welding on microstructure and Mechanical Properties of an industrial Low carbon steel, Engineering, 2, 502–506.
Aytaç adali, E. & Tusisik, A. (2016). Air conditioner selection problem with COPRAS and ARAS methods. Manas Journal of Social Studies, 5(2), 124-138.
Andruskevicius (2005) evaluated some contractors using COPRAS, A. (2005). Evaluation of contractors by using COPRAS - the multiple criteria method. Technological and Economic Development of Economy, 11(3), 158-169.
Balezentiene, L., & Kusta, A. (2012). Reducing greenhouse gas emissions in grassland ecosystems of the central Lithuania: multi-criteria evaluation on a basis of the ARAS method. The &ientfic World Journal, 1-11.
Chatterjee, P. & Chakraborty, S. (2014). Flexible manufacturing system selection using preference ranking methods: A comparative study, International Journal of Industrial Engineering Computations, 5, 315-338.
Kaklauskas, A., Zavadskas, E.K., Raslanas, S., Ginevicius, R., Komka, A., & Malinauskas, P. (2006). Selection of low e-windows in retrofit of public buildings by applying multiple criteria method COPRAS: A Lithuanian case. Energy and Buildings, 38(5), 454-462.
Saaty, T.L. (1987). The analytic hierarchy process-what it isand how it is used. McGraw-Hill, New York, 9(3), 161–176.
Dadelo, S., Turskis, Z., Zavadskas, E. K., & Dadeliene, R. (2012). Multiple criteria assessment of elite security personal on the basis of ARAS and expert methods. Economic Computation and Economic Cybernetics Studies and Research, 46(4), 65-87.
This work is licensed under a Creative Commons Attribution 4.0 International License.
The names and email addresses entered in this journal site will be used exclusively for the stated purposes of this journal and will not be made available for any other purpose or to any other party.
Submission of the manuscript represents that the manuscript has not been published previously and is not considered for publication elsewhere.