International Scientific Journals
of Scientific Technical Union of Mechanical Engineering "Industry 4.0"

The paper presents standard statistical robust bi-criteria procedure for determining expert assessments for the influence of magnesium alloy components on the controlled mechanical properties: tensile strength and relative elongation. There are obtained regression models describing mechanical characteristics from the amount of aluminum, manganese, nickel and silicon directly related to the exploitation properties of the product. The applied bi-criteria approach makes it possible to determine of compositions ensuring relatively optimal values of the explored quality indicators.

The tools for statistical expert evaluation of the influence of alloy composition elements on pre-selected quality indicators are described in order to improve the mechanical properties of the products through the prism of project management. Through the defined approach, it is possible to define a composition providing relatively best meanings of the values of the selected mechanical indices.

The article is dedicated to an approach optimizing a task of statistical modeling of the mechanical properties of products in real production metallurgy design. The approach is designed for the benefit of producers-metallurgists aimed at providing panels of Ti – alloys of a specific set of eventual industrial properties. This is accomplished by a procedure of composition optimizing based on existing certificates of brands Ti – alloys. The article presents an approach using mathematical models of optimization problem following the implementation of approach the classical methodology capable of decision-making in the production practice.

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.

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.