Automation of Analysis of the Structure of a Material with Details Based on Controlled Functional Systems
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MATION AND CONTROL IN ENGINEERING
Automation of Analysis of the Structure of a Material with Details Based on Controlled Functional Systems V. F. Bezyazychnyia, I. N. Palamar’a,*, and N. S. Azikovb a
b
Soloviev Rybinsk State Aviation Technological University, Rybinsk, Russia Blagonravov Institute of Mechanical Engineering, Russian Academy of Sciences, Moscow, Russia *e-mail: [email protected] Received October 11, 2019; accepted March 27, 2020
Abstract—An approach to solving the problem of image analysis of complexly formalized materials structures of critical parts is considered. Methodological foundations for the automation of the study of the structure of a material, which provides an assessment of the specified operational properties of parts based on the controlled creation of functional systems, are proposed. Methods to estimate the structures of materials formed by various technological processes were developed. Keywords: methodological approach, automation of analysis of the structure of a material, image processing, model of the functional structure, controlled functional system, complex undefined structure. DOI: 10.3103/S1052618820040020
Due to increased requirements on high-technology products of machine engineering by operation conditions, such as high temperatures, aggressive media, and static and dynamic loads, it is necessary to provide their parts with special surface properties. As the practice of production, operation, and repair of critical machine parts shows, high-tech technologies for creating surfaces of parts with special properties are promising. Special attention is paid to functional materials possessing a specific and possibly settable level of physical–chemical properties, which provide the required operating properties. Formation of certain properties of parts (strength, heat resistance, cyclic durability, etc.) is realized by development of the corresponding technological processes for treatment of such materials as well as for controlling the standards of their performance. ANALYSIS OF THE STATE OF THE PROBLEM Since the researched properties of parts are mostly determined by the structure of the material of the surface layer, all the modern studies of material and surface processing technologies are based on analysis of the structure images on the macro-, meso-, and microscale levels. Work [1] studies methods of analysis of fracture images on the basis of segmentation using adaptive models of a hidden Markov tree and multiscale Markov field. Images allow estimating the relation between the area of the fatigue zone and the area of rupture, which is counted as a measure of the cyclic stresses conditioning destruction. However, segmentation methods distinguish only zones with various textures without analysis of the complex topology of the structure. Work [2] considers the methodology of analysis for distinguishing only contour images by linear strictures, which is assigned for detection and further classification of the microstructural defects. Connections between the complex str
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