Кафедра електроніки, фізики та СМАРТ-систем
Постійне посилання на фондhttps://repository.lntu.edu.ua/handle/123456789/80
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Item type:Наукова стаття, Modeling the Dynamics of Centerless Mortise Grinding on Rigid Supports(2025) Chalyj, Vasyl; Moroz, Serhii; Tkachuk, Anatolii; Zablotskyi, Valentyn; Zabolotnyi, OlegThe paper examines the influence of the dynamic parameters of the machine and the geometry of the adjustment of rigid supports on the formation of undulations of the surfaces of roller bearing rings. A complex mathematical model of the machine tool system for centerless mortise grinding was developed, and the influence of the dynamic parameters of the machine tool and the geometry of the setup of rigid supports on the formation of undulations of the processed surfaces was analyzed. The SWaAGL-50 mortise centerless grinding machine’s technological system is presented as a linear mechanical model, and the elastic movements along the ОХ axis are considered. Based on the equations of kinetic and potential energies compiled in the form of Lagrange, the equations of motion of the relevant elements of the technological system were obtained. The formula of the dynamic accuracy function was found, which characterizes the inconsistency of the movement of the grinding wheel and the part.Item type:Наукова стаття, MODELLING OF DYNAMIC MODES IN A DC MOTOR FOR ELECTRIC VEHICLE(Polytechnika Lubelska, 2026) Lyshuk, Viktor; Tkachuk, Anatolii; Moroz, Serhiy; Yevsiuk, Mykola; Khvyshchun, Mykola; Prystupa, Stanislav; Zablotskyi, ValentynThe paper investigates mathematical models of a DC electric motor with independent excitation for electric vehicles and PWM as a speed control method. Differential equations of electromechanical state are written in normal Cauchy form. This representation simplifies the computational process, since integration is carried out by the explicit numerical method of Runge-Kutta of the fourth order, which is simpler than implicit and more accurate than single-step explicit methods. The symbolic programming language Force 2.0, which is a variant of the Fortran language, is used for modelling. Compared to mathematical packages of simulation modelling, it is convenient in terms of low time costs for compiling the program itself, since the program includes model equations together with initial conditions, a numerical method, and an integration procedure. The developed models take into account electromagnetic couplings of the motor's electrical circuits and make it possible to simulate dynamic operating modes. Such models can be used to analyse the operation of motors both autonomously and as an element of an electromechanical system, including valve converters. The operation and transient modes of a DC motor are simulated, the simulation results are given, and their analysis is presented. The results confirmed the correctness of the chosen approach to modelling and numerical methods, as well as compliance with the classical theory of electric machines.Item type:Матеріали конференцій, Application Design for Remote Control of Refrigeration Equipment in an IIoT Environment(2026) Komenda, Taras; Komenda, Nataliia; Yevsiuk, Mykola; Tkachuk, Anatolii; Yakymchuk, NataliaDespite the availability of modern refrigeration systems, many industrial enterprises still lack integrated solutions for automatic monitoring, fault prediction, and energy consumption optimization. This leads to overspending of resources, product losses, and reduced efficiency of production processes, especially in areas with increased requirements for temperature control (food industry, pharmaceuticals, logistics). The implementation of the Industrial Internet of Things helps optimize production processes, increase equipment efficiency, and reduce maintenance costs. The paper considers an industrial refrigeration equipment monitoring system aimed at food, pharmaceutical, and logistics enterprises. The system provides continuous data collection on temperature, energy consumption, and equipment status using sensors and power meters. It supports integration with cloud platforms and peripheral computing for rapid information processing. This allows for the timely detection of deviations, prediction of malfunctions, and minimization of the risk of product loss due to emergencies. The system is considered for use in production complexes with controlled conditions, refrigerated warehouses, and temperature-controlled transport systems. The use of wireless communication technologies and adaptive data storage mechanisms ensures its reliability even in the event of communication failures. The test results confirmed the effectiveness of the proposed solution, which allows enterprises to reduce operating costs, improve resource management, and increase the energy efficiency of production processes. Therefore, the use of industrial Internet technologies for monitoring refrigeration equipment ensures increased energy efficiency, reduced operating costs, and detection of deviations in system operation.