Study of the Properties of C92900 Bronze Obtained by Permanent Mold Casting, Upward Casting, and Hot Extrusion

Баженов, В. Е.; Titov, A. Yu.; Шкалей, И. В.; Sannikov, A. V.; Tavolzhanskii, S. A.; Mezrin, A. M.; Колтыгин, А. В.; Nikitina, A. A.; Plisetskaya, I. V.; Белов, В. Д.; Yudin, V. A.

doi:10.3103/s1067821221040040

Cited by 3 publications

(2 citation statements)

References 19 publications

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“…Данная задача имеет большое количество изменяемых входных аргументов, что делает подход подготовительного расчета несостоятельным. Следует отметить, что одним из способов снижения общего времени расчета рассматриваемой трудоемкой вычислительной задачи является организация конвейеризации и параллелизма [13][14][15][16].…”

Section: материалы и методыunclassified

Optimizing Model of a Machine-Building Enterprise Output under Demand Uncertainty

Vorobev,

Vakhrusheva,

Vologdin

2024

Intellekt. Sist. Proizv.

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The article develops anoptimizing model for a machine-building enterpriseproduction plan, taking into account a combination of factors such as financial capabilities and production capacity of the enterprise, limited resources, as well as demand uncertainty of long-range planning for a period of more than three months. Product features of a machine-building plant is taken into account that produces equipment and spare parts for oil-extraction enterprises, as well as the peculiarities of its operations in the market, due to the capabilityof sales forecasting for 2-3-month periods ahead based on actual demand under tender agreements. And this will be the minimum plan that the production company needs to follow. It is proposed to solve the demand uncertainty by means of adaptive forecasting methods based on statistical data available from thesales enterprise indicatorsof the past periods. It is econometric models ARMA and ARIMA that are designed to analyze time series that do not contain a seasonal component, since the demand for the products of a machine-building enterprise has no seasonal fluctuations. The ARMA model uses a combination of past values and white noise to predict future values and assumes that time series data are stationary, which means their statistical properties will not change over time. The ARIMA model is an extension of ARMA for non-stationary time series and is used to build short-term forecasts in which the lead period ranges from one or several months to a year. The mathematical model is a nonlinear conditional optimization problem. To solve this problem, various methods are proposed, allowing determination the optimal production plan, the minimum loan amount and the resources needed to implement this plan.

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Section: материалы и методыunclassified

Optimizing Model of a Machine-Building Enterprise Output under Demand Uncertainty

Vorobev,

Vakhrusheva,

Vologdin

2024

Intellekt. Sist. Proizv.

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Section: результаты и обсуждениеunclassified

Computer Simulation of Carbon Nanostructure Synthesis Applying Multiprogramming Technologies

Kalach,

Tolstova

2024

Intellekt. Sist. Proizv.

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Carbonnanostructures attract an increasing attention among researchers in various spheres due to their unique physical and chemical properties. The article considers the application of numerical methods to find solutions of different nanostructure formation models. Modelling problem of carbon nanostructure synthesis is decomposed into six subproblems and time taken to their solution has been analyzed. Anassumption was made that the most effective optimization is that of electromagnetic field parameter analysis algorithm as this subproblem requires the least time to solve. It was shown that modern mathematical models applied for carbon nanostructure synthesis description are characterized by high dimensions causing difficulties in calculation of model parameters. The results with low computational efficiency are more evident in case of parallel approach as computation flows have to be stopped from time to time to determine the stopping condition meeting. Theimplementationofdistributedparallelstructuresis assumed to provide parallelizing of computational processes within distributed computational environment. To solve the present problem method of multiprogramming has been applied. Thealgorithmofparallelcomputationand its implementation in the form of set of scenarios written on Python finding plasma cube potential numerical value of the prescribeddimensions via certain iterations was suggested. The suggested approach of computation optimizing can be implemented in case of large-particle method that combinesserial application of Euler and Lagrange approaches providing algorithm parallelizing. Theassumedparallelizingtechniquecanalsobeapplied bothto move from computational mesh nodes to the interaction between large computational particles and to solve Harlowparticle-in-cell method.

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Investigation of C92900 bronze properties obtained by permanent mold casting, continuous upcasting and hot extrusion

Баженов

Titov

Шкалей

et al. 2021

Izv.VUZ. Tsvet. Met.

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In mechanical engineering, the antifriction tin bronzes, and C92900 bronze for instance are used for parts subjected to wear. The permanent mold casting into steel molds are commonly used to produce parts from C92900 bronze. This work investigates the possibility of C92900 bronze rods production by hot extrusion and upcasting methods. It has been discovered the hot extrusion temperature and ram speed, as well as the casting speed for upcasting that promote no defects in rods. It has been shown that hot extrusion leads to severe grain refinement up to 1.7 gm, and when casting upwards, on the contrary, an increase in the grain size occurs in comparison with the permanent mold casting. After hot extrusion and upcasting, the crystals of the Y-Cu3Sn intermetallic phase are refined in the bronze microstructure. At the same time, large agglomerations of (Pb) particles can be observed in the extruded bronze microstructure, which leads to a decrease in the coefficient of friction. The maximum hardness and tensile strength were obtained for rods produced by hot extrusion at 600 °C, and the highest elongation in rods obtained by the upcasting method. Tribological studies were carried out according to the «shaft — partial insert» scheme in a kerosene medium with a steel counter body showed that hot extrusion leads to a tenfold increase in wear resistance and a threefold decrease in the friction coefficient in comparison with rods obtained by permanent mold casting. At the same time, for the rods obtained by the upcast method, on the contrary, a decrease in wear resistance is observed. In connection with the mentioned results, it is possible to recommend the hot extrusion method for producing C92900 bronze rods in addition with casting technique.

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Study of the Properties of C92900 Bronze Obtained by Permanent Mold Casting, Upward Casting, and Hot Extrusion

Cited by 3 publications

References 19 publications

Optimizing Model of a Machine-Building Enterprise Output under Demand Uncertainty

Optimizing Model of a Machine-Building Enterprise Output under Demand Uncertainty

Computer Simulation of Carbon Nanostructure Synthesis Applying Multiprogramming Technologies

Investigation of C92900 bronze properties obtained by permanent mold casting, continuous upcasting and hot extrusion

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