MODELLING OF PROPERTIES AND MULTI-CRITERIA OPTIMIZATION OF THE CHEMICAL COMPOSITION OF MAGNESIUM ALLOYS

Nikolay Tonchev; Martin Ivanov; Antonia Tontcheva

Scientific paper ID 1327 : 2016/3

MODELLING OF PROPERTIES AND MULTI-CRITERIA OPTIMIZATION OF THE CHEMICAL COMPOSITION OF MAGNESIUM ALLOYS

Nikolay Tonchev,Martin Ivanov, Antonia Tontcheva

A multi-criteria approach is applied for an expert assessment of the impact of the elements in the alloy composition on a priori chosen quality indicators to improve the mechanical properties of the products. Neural models are derived describing the mechanical characteristics of the quantity of aluminum and lithium related to the exploitation properties of the product. Using the applied approach it is possible to define a composition providing relatively best values of the selected mechanical indicators. Well known facts in science and in practice are confirmed with new tools.

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Моделиране на свойства многокритериална оптимизация магнезиеви сплави.Materials Science Modelling of properties multi-criteria optimization magnesium alloys.Nikolay TonchevMartin Ivanov Antonia Tontcheva

BIBLIOGRAPHY

[1] Tontchev N. Materials Science, Effective solutions and Technological variants, 2014/3/3, LAMBERT Academic Publishing

[2] Kalyanmoy Deb, Associate Member, IEEE, Amrit Pratap, Sameer Agarwal, and T. Meyarivan, A Fast and Elitist Multiobjective Genetic Algorithm: NSGA-II,IEEE, Transactions On Evolutionary Computation, Vol. 6, No. 2, April 2002.

[3] Rajan K., “Materials Informatics Part I: A Diversity of Issues”, JOM 2008, 60:50-50.

[4] Liu Z. K., L. Q. Chen and K. Rajan, ”Linking length scales via materials informatics”, JOM 2006, 58:42-50.