Multi-criteria optimization of steel alloys for crankshafts production

The paper presents application of multi-criteria optimization to steel alloy composition determination aimed at obtaining improved properties material for crankshafts production. Neural network model of steel mechanical characteristics in dependence on amounts of its alloying elements were used for simulation purpose. Then several Pareto optimal solutions were found based on obtained by simulation numerous compositions in the investigated region of interest.