EXPERT SYSTEM OF OPTIMIZATION OF THE RETURN AND STRENGTHENING OF THE SURFACE OF "TUBE" TYPE DETECTORS BY ELECTRICITY SURFACE

Authors

  • T. Smirnova
  • О. Drieiev
  • O. Smirnov

DOI:

https://doi.org/10.26906/SUNZ.2019.2.149

Keywords:

expert system, information processes, decision making, surface, restoration, strengthening, steel

Abstract

The subject of study in the article is the construction of an expert system for optimizing the process of restoration and strengthening of surfaces of parts of the type "VAL" by an electric arc spraying. The purpose of the work is to construct an expert system for optimizing the process of restoration and strengthening of surfaces of parts of the "shaft" type by electric arc spraying in the form of a cloud advisory system as a service (SaaS) for obtaining surfaces of shafts from steel 45 with given characteristics on the basis of a combination of several technological processes. Tasks: to synthesize an abstract technological process, to determine its properties and methods of transition to a specific technological process; to formulate an information model of the technological process and methods of its obtaining; to construct abstract expert systems and their components for optimization of the process of restoration and strengthening of surfaces of parts of the "shaft" type by electric arc spraying. The results of the work are an expert system, which includes: a knowledge base containing experimental data, valid input ranges, list of input parameters, list of output parameters, methods and mathematical support for process cost calculations; system for obtaining requirements for recovery results and optimization criterion (or criteria); system of search of extremums in multidimensional space; verification system to achieve the result; a system for detecting "stagnation" of the search for solutions, in cases where the requirements are not reachable; the system of input of uncontrolled input parameters (in the given system is not used, because the equipment has a controlled processing environment); a system for providing information flow between components of the expert system, taking into account synchronization and mutual interlocking. Conclusions: scientific novelty consists in the synthesis of the synthesized abstract technological process, determination of its properties and methods of transition to a specific technological process; the formulated information model of the technological process and methods of its obtaining that allowed to construct abstract expert systems and their components for optimization of the process of restoration and strengthening of surfaces of parts of the "shaft" type by electric arc spraying in the form of a cloud advisory system as a service (SaaS).

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References

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Published

2019-04-11