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  • The estimation of survival function of power producing papelinecontrol valve

    This paper deals with the investigation of crack strength of nuclear reactor cooling system wedge valve body. The main fracture mechanics expressions linking stress intensity factor with cracklike defect length are presented in the introduction. Analytical equations for reliability function evaluation are obtained, fracture toughness and stress intensity factor are viewed as Gaussian random values in the second part of the paper. The statistical linearization method is used to determine the distribution parameters (mean value, dispersion). The stress intensity was estimated by the finite element method with the use of SolidWorks Simulation system. Calculations are done for different types of cracks: throughwall, edge and semielliptic. It is shown that the presence of cracklike defects, even of small length, rather reduces the level of reliability function.

    Keywords: fracture toughness, stress intensity factor, survival function

  • The estimation of exploitation technological efficienПитухин А.В., Шиловский В.Н., Скобцов И.Г., Киселев С.А.

    The paper deals with the investigation of exploitation technological efficiency of metall-cutting machine tools. The main goal of this study is to determine more advanced way of choice of equipment and to organize metall-cutting machine tools rational maintenance. Classification of basic and optional evaluative measures is presented in the first part of the paper. The research methodology provides the estimation of exploitation technological efficiency by calculation of the complex evaluative measure. The results of comparative estimation of two metall-cutting machine tools (Okuma LB 4000 EX, CTX Gamma 2000) are presented in the last part of the paper. According to evaluation result, Okuma LB 4000 EX stands at a higher level of exploitation technological efficiency.

    Keywords: exploitation technological efficiency, comparative estimation, complex evaluative measure, methodology, data analysis