Scientific paper ID 1000 : 2014/3
A NUMERICAL PROCEDURE FOR CHECKING OPTIMAL COMPOSITION OF TITANIUM ALLOY USING A SMALL BASE OF DATA

Emil Ivanov, Nikolay Tonchev

Here is proposed a numerical procedure for checking the composition on alloy percentage and various observations about it. The innovation of this approach is the significant reduction of a priori information. The main characteristic of the method is that its accuracy depends on the accuracy of the approximation of the available data, as well as the fact of the receipt of more than one decision depending on the degree of the model.


проектиране на сплави титанови сплави якостни и пластични свойства.metallurgical design titanium alloys tensile properties composition-processing-property correlationEmil Ivanov Nikolay Tonchev

BIBLIOGRAPHY

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

[2] Tontchev N., Z. Cekerevac Approach and Application in Multicriteria Decision Support in the Field of Materials Science. MEST Journal, January, 2014(accepted paper).

[3] Tontchev N., S. Popov, P. Koprinkova-Hristova, S. Popova, Y. Lukarski. (2011). Comparative study on intelligent and classical modeling and composition optimization of steel alloys, Journal of Materials Sciences and Engineering with Advanced Technology, 4(1), 69-91.

[4] Malinov, S, Sha, McKeown, J.J.: Modelling and Correlation between Processing Parameters and Properties of Titanium Alloys using Artificial Neural Network. Computational Material Science 21, 375- -394 (2001)

[5] Gorni A.A. Steel forming and heat treating, Handbook, Brazil, 2013.

[6] Tontchev N., N. Hristov, Numerical Procedure to Determine the Optimal Composition of the Steel a Small Volume Database with the Same Treatment, International virtual journal for science, technics and innovations for the industry, Machines, Technologies, Materials, VII, Issues 11, pp. 54 – 57, 2013.

 

 

 

This site uses cookies as they are important to its work.

Accept all cookies
Cookies Policy