STRUCTURE OF A DECISION SUPPORT SYSTEM IN THE PROCESS OF PRODUCING MICRO-ARC OXIDE COATINGS

Abstract

Background. The issues of developing a decision support structure (DSS) for obtaining micro-arc oxide (MAO) coatings with the required properties are considered. Due to the increased interest in the use of oxide coatings in various industries, including medicine and electronics, it is necessary to create systems that can support and assist the decision maker during MAO processing. The goal of the work is to use modern methods, the use of which will allow obtaining optimal technological conditions and the required properties of MAO coatings. Materials and methods. An approach to organizing a decision support system in the process of producing oxide coatings is presented. The novelty of the approach lies in the use of modern optimization methods, working with large amounts of data, as well as complex mathematical models of processes and phenomena during MDO processing. Results. A generalized block diagram of a decision support system for obtaining coatings on products made from valve group metals is presented. The system, consisting of interconnected elements, has a complex structure of interaction and influence on the quality and properties of the formed coatings. Factors influencing the technology for producing oxide coatings and their properties were identified. Conclusion. Analysis of the results obtained during the study showed that the importance of further research in the field of constructing DSS in the production of micro-arc oxide coatings in order to optimize the technological process and improve their quality. The results obtained can be used in the development of a digital twin of the microarc oxidation process.

Keywords

• microarc oxidizing
• decision support system
• structure
• database
• simulation models