Algorithms for intelligent processing of technological documentation for quality control of the manufacturing process of nanocomposites with specified electrophysical properties
Abstract
Algorithms for intelligent processing of technological documentation for quality control of the manufacturing process of nanocomposites with specified electrophysical properties
Incoming article date: 13.09.2025The article discusses intelligent document processing algorithms as a key tool for quality control of the manufacturing process of nanocomposites. The analysis of methods of preprocessing and analysis of technological documentation, including entity extraction, data classification and anomaly detection, is carried out. The comparison is carried out in the context of the applicability of these algorithms to the tasks of ensuring the specified electrophysical properties of the final product. The algorithms were tested on data from the production of polymer nanocomposites based on an epoxy matrix with carbon nanotubes (CNTs) as a conductive filler, and the possibilities of using intelligent methods to predict defects, optimize synthesis parameters, and automate reporting were considered. The advantages and disadvantages of the applied approaches, as well as their effectiveness in various scenarios of quality management in production, are investigated. The developed algorithms are implemented as a microservice architecture compatible with industrial MES systems. The visualization interface allows you to: track the current state of the process in real time; view the history of deviations and decisions made, simulate the consequences of parameter changes. The article will be useful to specialists in the field of materials science, process engineers, as well as developers of automation systems and researchers interested in the application of artificial intelligence in industry.
Keywords: machine learning, automatic document processing, artificial intelligence, nanocomposites, mathematical modeling, software package