Факультет технічних систем і енергоефективних технологій (ТеСЕТ)
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Item Optimization of Surface Roughness Based on turning parameters and insert geometry(DAAAM Int., 2022) Vukelic, D.; Prica, M.; Іванов, Віталій Олександрович; Иванов, Виталий Александрович; Ivanov, Vitalii Oleksandrovych; Jovicic, G.; Budak, I.; Luzanin, O.This study is focused on dry longitudinal turning of AISI steel using CVD coated cutting inserts. The mashining was conducted at different levels of cutting speed, feed, depth of cut, corner radius, rake, inclination and approach angels.Item Design logical linguistic models to calculate necessity in trucks during agricultural cargoes logistics using fuzzy logic(4S go, sro, 2020) Medvediev, I.; Muzylyov, D.; Shramenko, N.; Nosko, P.; Eliseyev, P.; Іванов, Віталій Олександрович; Иванов, Виталий Александрович; Ivanov, Vitalii OleksandrovychThe study is aimed to develop the logic-linguistic models to design a number of rules for the correct calculation of the vehicles needed, taking into account the technical, technological, and weather and climate conditions of the harvesting and transport complex. The article has shown that the construction of the design of logic-linguistic models was not performed earlier to solve the problem of the agro-industrial production transportation support, considering the opportunity of forecasting size of influences of the weather and climatic factors on improving the productivity of the harvesting and transport complex elements. It is determined that the experience of applying the fuzzy logic theory in many practice situations confirms the universality of the mathematical apparatus. This toolkit provides better results than classical approaches (set theory, probability theory). This aspect indicates the expediency of the chosen mathematical apparatus for solving the tasks. The article using fuzzy logic explores the relationship and interdependence of technical, technological factors and weather and climate conditions for modeling transport support in harvesting and transport complex. Fuzzification of the parameters is carried out, based on the compiled equations using trapezoidal and triangular membership functions. The set of rules necessary for the creation of logical-linguistic models (LLM) for each factor has been arranged. LLMs were developed for dependent parameters, which will allow further modeling of the transport support of the harvesting and transport complex in the Fuzzy Logic Toolbox application of the MATLAB package.Item Logistics control of the resources flow in energy-saving projects: Case study for metallurgical industry(4S go, sro, 2020) Kiyko, S.; Druzhinin, E.; Prokhorov, O.; Іванов, Віталій Олександрович; Иванов, Виталий Александрович; Ivanov, Vitalii Oleksandrovych; Гайдабрус, Богдан Володимирович; Гайдабрус, Богдан Владимирович; Haidabrus, Bohdan Volodymyrovych; Janis, GrabisThe multilevel model for the formation and assessment of resource flows of a metallurgical enterprise is presented, which, at the logistics positions, reconcile the enterprise flow processes at all management levels, providing procedures for regulating the parameters of material and financial flows due to parametric and structural coordination in the short period of time and system coordination and adaptation of goals in the long term period. Drawing on the theory of logistics, it is possible to define the resource flow in project management as an aggregate of the enterprise’s own and attracted resources, considering in the process of interconnected and interdependent changes and movements carried out to achieve the objectives of the project. Optimization models of rational options selection for attracting additional resources, which allow implementing energy-saving projects under conditions of suspending finances at definite time periods due to a change in the project implementation schedule are described.