This paper presents a technique of controlling the process of oil filling of polymer and composite materials, which allows automated determination of volumetric heating of a polymer or composite sample for the purpose of drying. The differentiation of the obtained results, presented in graphical form, made it possible to quickly analyze the dynamics of temperature changes in the thickness of the material, the change of which determines the rates and time of impregnation to a certain depth of the body of the polymer or composite sample in figure 1. According to the developed methodology, studies of the impregnation of the oil filler of a mixture of M8-B motor oil and hexane were carried out. For each experiment, time dependences of the impregnation rate were obtained. Based on the work carried out, the optimal proportion of a mixture of hexane and engine oil and the most favourable temperature conditions were determined. At the end of the research, the assumption about the possibility of using this technique for the purpose of its industrial use in the technology of oil filling of antifriction products made of polymer and composite materials was confirmed.
This paper provides an overview of the state of existing systems of predictable control of the polymerization process. It includes a literature and patent survey of the presented mathematical models of the processes that occur during chemical polymerization reactions and analyzes techniques of controlling the processes of designing, manufacturing, modeling and construction of automated control systems. A critical analysis of existing modeling and control systems is given. The most promising software complexes ready for use in the process of designing of materials and products from photopolymers with predetermined structural properties have been identified. The analysis of a standard technological process as an object of control, by the example of the presented algorithm of the functioning of a particular production unit, showed the possibility of improving the existing automated systems of its control. By this example the authors prove the possibility of constructing automated process control systems, as well as those of photopolymerization, which will stabilize physical and chemical processes when manufacturing products from photopolymers. At the end of the research it was made possible to determine the purpose and objectives of further research of the authors aimed at creating the following complex: a software for the development of materials with specified structural properties; development of mathematical tools for calculation and modeling of photopolymerization processes; construction of automated control systems for technological processes of manufacturing products from photopolymer structural materials.
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