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EN
The stress distribution function in the surface layer is created as a result of using stress measurements on the surfaces of C45 steel samples after shot peening. Stresses were measured by X-ray diffraction with the use of the PSF-3M device from the Rigaku Company. For measuring residual stresses, subsequent layers of the top surface of the material were used as a basis, and these were obtained through electrochemical etching. The test results i.e. distance into the material, sample hardness, shot type, stress) were entered into the stepwise multiple regression program. A record of residual stresses was obtained in the form of the second-degree regression function of three independent variables with interactions. The obtained analytical form of the residual stress function was used in the FUNVAL3.EXE program to calculate the tabular values of stresses permeating into the material. For the analytical description of the stress distribution, the REGPOLY.EXE regression program was used, which creates a polynomial functional form of the residual stress distribution. The plot form of the residual stress distribution was obtained using the EXCEL Microsoft Office 2000 program.
EN
The research was concerned with the influence of chemical composition of austenitic steels on their mechanical properties. Resulting properties of castings from austenitic steels are significantly influenced by the solidification time that affects the size of the primary grain as well as the layout of elements within the dendrite and its parts with regard to the last solidification points in the interdendritic melt. During solidification an intensive segregation of all admixtures occurs in the melt, which causes a whole range of serious metallurgical defects and it has also a significant influence on subsequent precipitation of carbides and intermetallic phases. Chemical heterogeneity then affects the structure and mechanical properties of the casting. In a planned experiment, we cast melted steels containing 18 to 28 % Cr and 8 to 28 % Ni with variable carbon and nitrogen contents. Testing the tensile strength of the cast specimens we could determine the Rp0.2, Rm, and A5 values. The dependence of the mechanical properties on the chemical content was described by regression equations. The planned experiment results allow us to control the chemical content for the given austenitic steel quality to achieve the required values of the mechanical properties.
PL
W oparciu o schemat prowadzenia eksperymentu planowanego dla układów: właściwości - skład, zaproponowano typowe równanie predykcji wartości zmiennej wyjściowej (11) dla trzech komponentów mieszanki. Równanie to w wystarczającym stopniu jest zgodne z zasadami eksperymentu planowanego i korelacji wielokrotnej. Przedstawiono porównanie prognozowanych parametrów dla konkretnych badań nad optymalizacją składu mieszanki węglowej.
EN
The typical equation for prediction of output variable (11) for relationship of: properties-composition based on principles of planned experiment was proposed for three components of coal blend. This equation sufficiently corresponds to the expectations of the planned experiment and multiple correlation. The comparison of predicted parameters for specific studies on optimization of the coal blend composition was also presented.
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