PHYSICAL AND MATHEMATICAL MODEL FOR DEVELOPING AN EXPERT SYSTEM FOR ACCELERATED COOLING OF REINFORCEMENT PRODUCTS

V. S. Solod

About the authors

V. S. Solod

Солод Владимир Сергеевич –научный сотрудник, Федеральное государственное бюджетное научное учреждение «Институт проблем искусственного интеллекта». Область научных интересов: компьютерное моделирование технологии прокатного производства, адрес:283048, г. Донецк, ул. Артема, д. 118б.

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UDC: 621.771.07:004.94
DOI: 10.24412/2413-7383-2025-2-37-44-58
Language: Russian

Abstract: The ultimate goal of the study is to develop an expert system for accelerated cooling of reinforcing steel in the form of an artifi cial neural network (ANN), using a new machine learning method: using fundamental knowledge to solve practical problems. A physical and mathematical model of accelerated multi -stage cooling of reinforcing steel in a rolling mill flow is used as fundamenta l knowledge. This model can be used both as a tool for creating a training data set for training ANN, and for optimizing the technology for cooling profiles from various steel grades with possible changes in rolling modes.

Keywords: hardening, reinforcement bars, thermal strengthening, physical and mathematical model, algorithm, thermal facility

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Issue: 2(37)'2025
Section: MATHEMATICAL MODELING, NUMERICAL METHODS AND SOFTWARE SYSTEMS
How to cite: V. S. Solod. PHYSICAL AND MATHEMATICAL MODEL FOR DEVELOPING AN EXPERT SYSTEM FOR ACCELERATED COOLING OF REINFORCEMENT PRODUCTS // Problems of Artificial Intelligence. - 2025. - № 2 (37). - P. 44-58. - https://paijournal.guiaidn.ru/en/2025/2(37)-5.html

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