Modeling of metallurgical technology of thermal impact on the ingot in a multi-zone pass-through furnace

• Main Authors: Novikova, E. V., Provotorova, E. N., Fedotov, A. A., Borisoglebskaya, L. N.
• Format: Conference Proceeding
• Language: English
• Subjects: Aerospace industry; Algorithms; Boundary value problems; Control equipment; Heating furnaces; Ingots; Material properties; Mathematical analysis; Mathematical models; Metallurgy; Sensors; Temperature control; Temperature distribution
• ISSN: 0094-243X; 1551-7616
• DOI: 10.1063/5.0071964

The task of obtaining the required physical and technical properties of materials is particularly relevant for the production of products operated under critical conditions, which is typical for the aerospace industry. An important technological component of industrial heat engineering in metallurgy is the process of thermal preparation of a long and massive metal ingot (the process of thermal adaptation of the ingot), which precedes the process of forming a certain section for it. The process of thermal preparation is carried out in a multi-zone pass-through heating furnace. For the purposes of maximum end-to-end automation of machine-building production, the billets received from metallurgical divisions in the form of metal ingots must have uniform properties. The proposed mathematical model, which belongs to the class of simulation models, describes the process of controlled heating / cooling of a metal ingot. In this case, temperature control is carried out on the basis of feedback about the temperature cross-sections of the ingot by transmitting it to the peripheral components of the sensors built into the ingot body. It should be noted a distinctive feature of the thermal process under study – embedded point inhomogeneities in the places where the peripheral components of the sensors are installed generate a noticeable distortion of the temperature field of the ingot. The proposed mathematical model of this process and its analysis is based on the formalisms of the initial boundary value problem for the heat transfer equation. The implementation of the proposed algorithms makes it possible to create control programs for metallurgical production equipment and optimize the technological cycle.