Competition of research works of scientific and pedagogical collectives summed up the results
Project “Improving the performance of internal combustion engines by improving diagnostics and maintenance of mechanisms and systems” (application from the Academy of Engineering, head — Igor Kevorkovich Danilov). The project aims to develop effective solutions to improve the performance of internal combustion engines. The researchers plan to obtain an analytical relationship between the fuel injection pressure indicator and the movement of the bypass valve stem of the high-pressure line of fuel equipment. Based on the obtained dependence, the project team is going to develop a method and device for diagnosing the fuel equipment of modern engines.
Project “Experimental study of a highly efficient multi-stage heat pump installation” (application from the Academy of Engineering, head — Yuri Antipov). The key goal of the project is to create a three-stage installation. The researchers plan to find out how the temperature difference between low-potential and high-potential heat sources (1), the number of stages of the installation itself (2) and the composition of the refrigerant (3) affect its efficiency.
Project “Development of a software package for predicting self-ignition (detonation) of fuels used in spark-ignition engines” (application from the Academy of Engineering, head — Ivan Zaev). The goal of the project is to develop a mathematical model for calculating the thermodynamic parameters of the working process of an engine with forced spark ignition. The project team develops methods for calculating the moment of self-ignition of a fuel-air mixture. This is necessary to determine the operating conditions of the engine without detonation for a given design.
Project “Development of innovative clusters within the BRICS: transition from national projects to network interaction” (application from the Faculty of Economics, head — Vladimir Davydov). The project is aimed at developing recommendations for optimal organizational, legal and marketing support for the development of network interaction between BRICS innovation clusters.
Project “Application of medicinal plants and their extracts to improve growth, immunity and disease resistance in fish” (application from the Agrarian and Technological Institute, head- Yousefi Morteza). The aim of the project is to provide scientific justification for the identification and use of inexpensive and environmentally friendly feed additives (medicinal plants and their extracts) to improve the immunity and growth indicators of various fish species.
A Center for Green Diplomacy was created based on the RUDN Institute of Environmental Engineering. Among the goals is the integration of the results of scientific and practical activities into the development of international relations in the environmental sphere. The center's specialists will also accompany the corporate sector in solving various environmental problems.
RUDN summarized the results of the scientific competition "Project Start: work of the science club ". Students of the Faculty of Physics, Mathematics and Natural Sciences have created a project for a managed queuing system using a neural network to redistribute resources between 5G segments. How to increase flexibility, make the network fast and inexpensive and reach more users — tell Gebrial Ibram Esam Zekri ("Fundamental Computer Science and Information Technology", Master's degree, II course) and Ksenia Leontieva ("Applied Mathematics and Computer Science", Master's degree, I course).
A Center for Green Diplomacy was created based on the RUDN Institute of Environmental Engineering. Among the goals is the integration of the results of scientific and practical activities into the development of international relations in the environmental sphere. The center's specialists will also accompany the corporate sector in solving various environmental problems.
RUDN summarized the results of the scientific competition "Project Start: work of the science club ". Students of the Faculty of Physics, Mathematics and Natural Sciences have created a project for a managed queuing system using a neural network to redistribute resources between 5G segments. How to increase flexibility, make the network fast and inexpensive and reach more users — tell Gebrial Ibram Esam Zekri ("Fundamental Computer Science and Information Technology", Master's degree, II course) and Ksenia Leontieva ("Applied Mathematics and Computer Science", Master's degree, I course).