MULTICRITERIA DECISION SUPPORT-APPROACH AND APPLICATION IN THE FIELD OF MATERIALS SCIENCE

Nikolay Tontchev, Zoran Petar Čekerevac

Abstract


The research will focus on creating opportunities for prediction of mechanical properties as a function of the chemical composition and the heat treatment parameters taking into account the appropriate boundary conditions. The solutions for predicting properties as a function of the composition and the processing parameters are defined for specific customer requirements. This is accomplished by numerical procedures that determine the optimal composition for a number of criteria with established advantages for the significance of the results. The accuracy of the solution is determined by the reliability of the used experimental data. The actuality of the research of predicting the properties of materials is determined by the fact that the established models are based on computer simulation for building contemporary design tools. The practical results are applicable and they can be used for:  a) the design of more efficient  compositions in terms of the expensive alloying elements while maintaining the basic properties above a given threshold, b) evaluation of the technological cost of equally applicable technological variants of varying degrees of doping steel, c) determination of a rational representative of a certain class of materials best suited to the requirements previously set (most often controlled properties) among the rest of the class.


Keywords


metallic materials, ferrous alloys, modeling and optimization properties, DSS, multi-criteria decision analysis

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