PRACTICAL APPLICATION OF STATISTICAL TECHNIQUES IN MATERIAS SCIENCE

Martin Ivanov; Nikolay Tonchev

Scientific paper ID 1526 : 2017/3

PRACTICAL APPLICATION OF STATISTICAL TECHNIQUES IN MATERIAS SCIENCE

Martin Ivanov, Nikolay Tonchev

Standard statistical procedures for determining expert judgment for the influence of alloy composition elements on the controlled mechanical properties - tensile strength and relative elongation are used in the study. Neural models describing the mechanical characteristics of the aluminum, manganese, nickel, iron and silicon, of direct importance to the product”s performance properties, are derived. Through the applied approach, it is possible to determine a composition providing relatively optimal values of the quality indicators investigated.

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Моделиране на свойства статистически пресмятания магнезиеви сплави.Materials Science Modelling of properties ANN magnesium alloys.Martin Ivanov Nikolay Tonchev

BIBLIOGRAPHY

[1] Friedrich H.E., Mordike B.L. Magnesium Technology: Metallurgy, Design, Data, Applications, Springer-Verlag Berlin Heidelberg, 2006. 647 p.

[2] Kainer K.U. (Ed.) Magnesium Alloys and Technologies Wiley-VCH, 2003. 285.

[3] Monteiro W.A. (Ed.) New Features on Magnesium Alloys, InTech, 2012. 174 p.

[4] Czerwinski F. (Ed.) Magnesium Alloys: InTAe, 2014, 176 p.

[5] TontchevN. Materials Science, Effective solutions and Technological variants, 2014/3/3, LAMBERT Academic Publishing.