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Author: Kalev Y.

  • ROBUST BI-CRITERIA APPROACH TO OPTIMIZE THE COMPOSITION AND PROPERTIES OF TITANIUM ALLOY

    • Tontchev N.
    • Kalev Y.
    Machines. Technologies. Materials., Vol. 8 (2014), Issue 12, pg(s) 26-30
    • Abstract
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    •  Article PDF

    The numerical experiment has proved the ability to improve the quality of titanium alloys. Mathematical models suitable for forecasting and optimization have been derived. The approach of Taguchi applied has lead to a desired result, to separate variables Xi for the examined parameters that do not influence significantly on the final result. With this limit, the numerical optimization for maximum search has been conducted with each chemical composition. That allows improving it.

  • MODELING AND OPTIMIZATION OF THE PROPERTIES AND COMPOSITION OF TITANIUM-BASED ALLOYS

    • Tontchev N.
    • Kalev Y.
    • Lazarova R.
    Machines. Technologies. Materials., Vol. 8 (2014), Issue 11, pg(s) 16-19
    • Abstract
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    •  Article PDF

    The possibilities of regression analysis to model the properties and the related to it multicriteria optimization of the composition of titanium alloys are introduced in the presented research. This is done after performing characteristics of established applications of various titanium alloys. To predict elongation in this paper there have been obtained nonlinear regression models that allow to estimate the strength properties and the plasticity depending on the equivalents for aluminum and molybdenum for titanium alloys.

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