Selection of rear axle tip alternative material of a car by multi-criteria means

Abstract

In Ecuador some automotive spare parts are not manufactured in the country and must be imported. The reason for this is that some materials cannot be found in the market, which is why this research aims to find an alternative material for the rear axle tip of a car. In order to find this material, first an original part is characterised under the ASTM E415 standard for chemical composition testing, where 0.577-0.603% of C was obtained. The hardness is determined with the ASTM E18 standard obtaining a hardness of 322.77 HB. Tensile strength is found through the ratio of hardness vs. tensile strength, obtaining 115.05 kg / mm². Subsequently, a multi-criteria analysis is carried out with the entropy, simple management and CRITIC methods. The weights of each criterion are measured and with the EXPROM II, TOPSIS and VIKOR method the material is selected, where it was established that the optimal option is the AISI 5115 Steel compared to the original material characterised.

Using Regression Analysis for Automated Material Selection in Smart Manufacturing

“…Toledo et al [21] applied multi-criteria means for alternative material selection in the automotive industry. Foong et al [22] applied a structural optimization approach for material selections.…”