Mathematical modelling for prediction of Young’s modulus in compositionally complex alloys

Abstract

A generic mathematical model-based bottom-up approach for high throughput materials development of compositionally complex alloys is established in this study. A general bottom-up technique, in contrast to a top-down approach, entails property selection, element screening, structure identification, and fabrication. The application is used to guide the property selection. The alloy design depends on the screening of contributing elements depending on the necessary property. The usage of mathematical models could help with element screening to meet the property requirement. The properties of the resulting compound alloys may be determined by the attributes of compositionally complex alloys. As a result, developing a model that links the needed attribute to the most important aspects of compositionally complex alloys is critical. The Young’s modulus, which is the considered attribute, is predicted using a predictive mathematical modelling approach based on its relationship with the features: valence electron concentration and average melting temperature. Monte Carlo Simulation is also used to discover the optimum feasible composition in order to improve Young’s modulus.