Автоматизированная система управления качеством обработки инструментов в тлеющем разряде на основе нейросетевого мониторинга

Abstract

Рассматриваются вопросы повышения эффективности и качества управления, предлагаемыми технологическими процессами обработки инструментов различной конфигурации в плазмогенераторе тлеющего разряда. Используемый алгоритм моделирования при создании автоматизированной системы контроля и управления эффективностью и качеством работы плазмогенератора тлеющего разряда позволил оптимизировать его работу по упрочнению инструментов различной конфигурации, требующих разнохарактерного воздействия плазмы в определённой последовательности и продолжительности. На основе непрерывного нейросетевого мониторинга за технологическими переходами, обеспечивается заданное качество физико-механических характеристик поверхностных слоёв рабочих частей широкой номенклатуры инструментов. Work purpose: improving effectiveness and quality in the control of engineering processes of tool working in the plasma generator of a glow discharge based on neural network monitoring. Investigation methods: use of nature and regularities of human thought at the development of the computer model of a neural network allowed realizing a cybernetic approach at real production object work modeling with the purpose of increasing effectiveness and quality of control at the management based on neural network monitoring. The essence of the modeling method consists in the development of such algorithms and programs which imitate the behavior of the plasma generator of a glow discharge, its characteristics in the structure, volume and field of technological parameter use essential for the research. Investigation results: the system offered for the control of effectiveness and quality of realizable engineering processes during plasma generator work based on neural network monitoring allows ensuring good repeatability of the results on tool strengthening. The defined sequence of engineering process operations of product working in the plasma generator of a glow discharge ensures the formation of specified structure and micro-hardness on the surface of products under processing. In the system offered control and management are formed on the basis of a neural network approach and imitate system behavior at all machining steps of processing. The results of continuous monitoring are shown with the essential discontinuity in on-line modes in the form of values and deviations of controlled technological parameters of the working process on the display of an electronic control unit. The generality and simultaneous uniqueness of the properties of continuous monitoring systems on applicability for real technological object control and range extension of problems solved with their help transforms them into compulsory means for complex automated device equipment. The modeling algorithm offered at the formation of an automated system to control effectiveness and quality in functioning plasma generator of a glow discharge for strengthening a wide range of tools with different profiles with machining steps differed in character of plasma impact, duration and their realization priority allowed optimizing the repeatability of results in ensuring specified properties in surfacebounded layers that satisfies conditions of the automated technological environment.