Optimal control of fuel gases on continuous annealing furnaces of steel coil strip

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dc.creatorFilipe Anderson Teixeira da Silveira
dc.creatorGuilherme Vianna Raffo
dc.date.accessioned2025-04-01T17:03:22Z
dc.date.accessioned2025-09-09T01:06:28Z
dc.date.available2025-04-01T17:03:22Z
dc.date.issued2017
dc.identifier.issn2175-8905
dc.identifier.urihttps://hdl.handle.net/1843/81183
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.rightsAcesso Aberto
dc.subjectControle automático
dc.subjectAltos-fornos
dc.subjectFerro - Metalurgia
dc.subjectSiderurgia
dc.subject.otherProcess control, Optimal control, Energy efficiency, Continuous reheating furnaces
dc.titleOptimal control of fuel gases on continuous annealing furnaces of steel coil strip
dc.typeArtigo de evento
local.citation.epage6
local.citation.spage1
local.description.resumoContinuous reheating furnaces are commonly used in the steel industry for annealing strips of steel coils that was laminated in the cold rolling mills process for reconstitution of the grains. These strips must be uniformly reheated following an appropriate profile so that they have the required mechanical and metallurgical properties. In addition, an optimal control of the fuel gases used in the reheating furnaces is desirable in order to reduce the costs of this production input, since it is responsible for one of the most costly portions of this kind of process. This work aims to present an optimal control strategy of the fuel gases used in continuous reheating furnaces of Aperam South America, which initially computes the furnaces energy efficiency, after performs the constraints’ analysis, and finally obtains the optimal control input in order to reduce the natural gas consumption. Experimental results are presented to corroborate the proposed optimal control, highlighting its efficiency.
local.publisher.countryBrasil
local.publisher.departmentENG - DEPARTAMENTO DE ENGENHARIA ELETRÔNICA
local.publisher.initialsUFMG
local.url.externahttps://www.sba.org.br/Proceedings/SBAI/SBAI2017/SBAI17/papers/paper_626.pdf

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