Article 9120

Title of the article

THE IMPROVEMENT OF CONTROL SYSTEM OF FURNACE EQUIPMENT BY USING THE NEW MATHEMATICAL MODEL OF GAS MIXING 

Authors

Yurkov Nikolay Kondrat'evich, Doctor of engineering sciences, professor, head of the sub-department of radio equipment design and production, Penza State University (40, Krasnaya street, Penza, Russia), E-mail: kipra@pnzgu.ru
Shtykov Roman Aleksandrovich, Candidate of engineering sciences, associate professor, sub-department of physics and applied mathematics, Murom Institute (branch) of Vladimir State University named after Alexander and Nikolay Stoletovs (23, Orlovskaya street, Murom, Vladimir region, Russia), E-mail: fpm@mivlgu.ru 

Index UDK

681.324 

DOI

10.21685/2072-3059-2020-1-9 

Abstract

Backgrounds. The object of the study is the aspects leading to more intensive mixing of the gas, for the most complete combustion of the formed turbulent jet, which is used in combustion processes. The subject of the study is the model for finding the most optimal concentration of mixing gases. The aim of the work is the use of models for determining the concentrations of stirring gases for an automated control system of furnace equipment.
Materials and methods. Mathematical modeling with the use of the laws of conservation of substances and chemical aerothermodynamics, analytical and numerical solution of problems, computational experiment.
Results. The problem of diffusion combustion of two gas-air mixtures was formulated - the symbiosis of models of diffusion and homogeneous combustion regimes in a turbulent flow. A concentration determination model was developed for an automated component supply system for diffusion combustion of a mixture, and the theoretical and practical applicability of the proposed model was determined.
Conclusions. The technologies considered are potentially applicable in the system of automated control of combustion processes and a high assessment of their effectiveness is shown. 

Key words

heat and mass transfer analysis, automation, control, gas, model, admixture, combustion optimization 

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References

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Дата создания: 15.05.2020 09:26
Дата обновления: 15.05.2020 11:31