Scholarly record
MODELLING OF THE MASSIVE BATCH HEATING PROCESS
Abstract
The priority of the manufacturers and production companies is to improve product quality and reduce the cost of manufacturing. The resulting quality is often strongly influenced by the heat treatment of the product. The creation and implementation of mathematical and simulation models is an effective tool for studying of the thermal processes. We can use the simulation models at the construction of new but also in the reconstruction of existing thermal aggregates. In addition, from simulation studies, we can choose a variant that meets a defined optimality criterion. The article describes a simulating model for modeling of the heating process in a bell furnace. The batch heating process precedes the mechanical processing of the metal and constitutes an essential part of the so- heat treatment of the metal. The inner temperature of the massive batch and the quality of the heating process often determine the efficiency of the process and the quality of the final product. The modeling of the heating process and its visualization are important tools at loading the technology into practice. The task of the simulation model described in this article is to calculate the inner and surface temperatures of the annealed steel coil. The input into the simulation model is the temperature measured directly on the lower surface of the coil and the temperature of the atmosphere measured between the annealed coil and the protective cover obtained from the real measurement. To describe the heat transfer process, the Fourier heat conduction equation is used. The solution of this equation is based on the finite difference method in the two-dimensional coordinate system under marginal conditions I and III. kind. The simulation model was verified on the control measurements realized in the real operation of the bell furnace.
Publication Impact Profile
Publication details
References7
Straka M., Žatkovič E., Schréter R., Simulation as a means of activity streamlining of continuously and discrete production in specific enterprise, Acta Logistica, Vol. 1, No. 3, 2014, p. 11-16
Vaszi Z., Szabó C., Varga A., Implementing the mathematical model of the throughput of compressor station aggregates, Nonlinear Analysis: Modelling and Control, 20, 2, 2015, p. 291–304.
Kostúr K., Process check of annealing process of coiled sheets by indirect measurement, In: Metalurgija, Vol. 56/Issue 1-2, 2017, pp. 229-232;
Kostúr K., Simulačné modely tepelných agregátov, Publisher: Štroffek, Košice, 1997.
Széplaky D., Varga A., Kočanová S., Analysis of the temperature field of the gas pipeline collector using cfd modeling, Annals of Faculty Engineering Hunedoara - International Journal of Engineering. Vol. 12, No. 4, 2014, p. 123-130.
Laciak M., Kostúr K., Truchlý M., The analysis of models for indirect measurement of surface temperatures in massive charge, Acta Montanistica Slovaca. Vol. 13, No. 1 2008, p. 94-99.
Drabiková E., Škrabuľáková E. F., Decision trees - a powerful tool in mathematical and economic modeling. In: ICCC 2017: 18th International Carpathian Control Conference, IEEE, 2017, p. 34-39
View or Download full articleAccess options
SWS access login
Login as SWS Scientific CommitteeLogin as SWS Scientific PartnerLogin as SWS AuthorAuthors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.
For librarian assistance: [email protected]
Purchase Instant Access
- Article can be downloaded after successful payment.
- Article may be used according to SWS library access terms.
- Article cannot be redistributed.
