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A review of existing technologies for cleaning carbon deposits from machine parts and mechanisms working in contact with hydrocarbon substances (fuel, lubricant, heating agency) at a wall temperature of 120 ° C to 350 ° C shows the diversity of such deposits in chemical composition and physical properties. Carbon deposits are divided into easily removable and difficult to remove deposits. Soot (smoke black) belongs to easily removed carbon deposits; varnish and coke are difficult to remove deposits. Soot is a product of incomplete combustion of fuel and includes carbon, light hydrocarbons (up to 30% by weight) and in small quantities various compounds, including carcinogenic. Lake and resinous deposits are carbon deposits that form as a thin layer, firmly held on the surfaces of the channels. Lake is a product of liquid-phase oxidation and consists of 20 … 40% of carbon molecules and 60 … 70% of hydrogen molecules. Coke (or coke deposits) are black solid carbonaceous substances consisting mainly of a mixture of carbon molecules and high-molecular-weight hydrocarbons (80%) and hydrogen molecules (20%). The most common methods of cleaning machine parts from various kinds of pollution and sediments are physical, chemical and chemical-thermal methods. Experimental work has been performed to evaluate the effectiveness of these methods. The experiments were carried out on an open loop installation with a flow reactor. Replaceable stainless steel and high-temperature alloy tubes were used as a reactor. The regime parameters during the experiment were maintained unchanged, and the temperature state of the reactor was monitored at specified intervals.

In conditions of improving production processes, the organization and implementation of a quality management system is one of the most important issues in the management system of individual business processes and the organization as a whole. The formation and implementation of control over the organization of production, product quality, labor protection and other business processes and management objects is carried out in accordance with the accumulated theoretical, methodological and practical experience. However, at present, in the conditions of intensive development of technologies that allow us to move to a qualitatively new level of production, traditionally established approaches to managing business processes are losing their relevance and require additions, including in terms of enhancing the automation of information support for the quality management system. Therefore, as part of this study, it is proposed to pay attention to the development of tools of intelligent quality management systems in terms of performing control and analytical tasks.

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