This article explores the possibility of using metallurgical waste slags formed during the smelting of cast iron and steel as cementless binders that harden due to forced carbonization and the subsequent hydration processes of some minerals that form the basis of these slags. This study presents the results of multi-objective optimization using statistical methods of mathematical experimental design, with the purpose of obtaining a carbonized material with good mechanical and physical properties. As a result of the research, carbonized stone with compressive strength up to 116.5 MPa was obtained. Water absorption by weight is within the range of 6.0–17.0%, and quantitative CO₂ binding was 6–11.9%, depending on the type of slag. A pilot batch of wall product samples (hollow bricks and paving elements of various territories) was manufactured under production conditions. During the tests, we found that the compressive strengths of products based on BOF and EAF slags were 96.3 and 81.1 MPa, respectively, and that of bricks based on BS slag was 37.1 MPa. A comprehensive analysis of the performance properties of products from the pilot batch showed that these samples meet the requirements of national standards.

Разработка вяжущего вещества на основе фосфогипса, твердеющего по смешанному типу

The article presents the results of experimental studies on the possibility of predicting the efficiency of CO₂ mineralization using metallurgical wastes (MWs) from the perspective of chemical thermodynamics and on identifying, accordingly, promising MWs for the production of construction materials and products. The study examined MWs from major Russian iron and steel producers, namely: blast furnace, electric steelmaking, ferroalloy, converter steelmaking slag, as well as nepheline slag, a by-product of nepheline ore processing for alumina. The CO₂ binding capacity of MWs was determined using experimental samples fabricated by semi-dry pressing of MW powders, followed by curing them in a gas atmosphere with an CO₂ concentration of 80% vol. It was found that the investigated MWs are capable of absorbing and binding CO₂, thereby improving their physical and mechanical properties. Experimental samples made from nepheline slag bind 11.3 to 12.0 wt.% of CO₂; samples from steelmaking slags: up to 9 wt.% or more; and samples from blast furnace dump slag: approximately 5.5 wt.% At the same time, the compressive strength of samples from steelmaking slags exceeds 100 MPa, that of samples from nepheline slag approaches 80 MPa, and that of samples from blast furnace dump slag exceeds 50 MPa. It has been established that predicting the efficiency of CO₂ mineralization by metallurgical wastes based solely on chemical thermodynamics is not entirely accurate. To develop a preliminary forecasting model for the carbonate hardening potential of various MWs, further studies are needed to identify additional key factors influencing the carbonate hardening process of MWs.

Objective. The purpose of the research is to develop a model and a method of decision support for managing the process of functioning of an information system, ensuring efficiency and optimizing work at all stages of its life cycle.Method. The use of mathematical modeling methods, business process analysis, comparative and SWOT analysis in research on the development of a model and a decision support method for managing the operation of an information system and determining the required efficiency of an automated information system is an integrated approach that has been used to conduct research.Result. The methodology and model of system improvement management have been developed, which is an important tool for evaluating and improving the information system. They allow you to analyze the effectiveness and current state of the system, determine the optimal moment for the transition to reengineering in order to improve its performance and efficiency, as well as ensure the optimal functioning of the information system and achieve your goals.Conclusion. The developed methodology and management model for system improvement allows us to analyze the rate of moral aging of the information system, identify changes in its effectiveness and functioning over time. The application of the improvement management model allows you to identify specific steps and changes that need to be made to the system to increase its efficiency and extend its life cycle. This may include improving business processes, introducing new technologies, optimizing resources, and other measures aimed at improving the productivity and competitiveness of the system.