Abstract

Nickel is a strategic element in the military industry due to its unique physical and electrochemical properties, including high corrosion resistance, thermal stability, and variety of structural applications. The objective of this study is to design and optimize an advanced nickel-magnesium alloy meeting performance requirements of high-tech defence applications. A hybrid Artificial Neural Network (ANN)-based methodology is employed to generate a predictive model of structure-property relationships, while Genetic Optimization (GA) algorithms explore the optimal composition space.