Study to improve the operations of steel ingot reheating furnace using modeling tools

Estudo para melhorar as operações de forno de reaquecimento de lingotes de aço utilizando ferramentas de modelagem

Autores

Resumo

The present investigation obtained a system of mathematical models of operation of the steel ingot heating furnaces. For this, the systems analysis and synthesis methodology were used, from which the conceptual mathematical model was derived, as well as the interrelation of the furnace with the rest of the plant systems. The model was validated under static and dynamic operating conditions by purchasing the values of the variables measured in a Case Study facility with the values obtained by simulation. In addition, objective function optimization tools were applied by exploring a network of variables with a penalty for breach of constraints. The system responded satisfactorily to the disturbances inherent in the production process.

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Biografia do Autor

Yusdel Díaz Hernández, Universidade do Estado da Bahia

Yusdel Díaz Hernández was born in Havana, Cuba. in 1982. He received the B.S. and M.S. degrees in metallurgical and material engineering from the Technological University of Havana, in 2008 and 2012, the Ph.D. degree in engineering from University of Moa, in 2017. From 2008 to 2017, he was an Assistant Professor with the Technological University of Havana. His research interests include mathematical modeling, optimization, metallurgical and materials technology

Alberto Antonio Fiol Zulueta, Katangoji Polytechnic Institute, Angola

Alberto Antonio Fiol Zulueta was born in Matanzas, Cuba in 1958. He received the B.S. degree in mathematical from University of Havana in 1988, and M.S. degrees in optimization and aid decision from the Technological University of Havana, in 1999, the Ph.D. degree in engineering from Institute Katangoji, Luanda, Angola. His research interests include mathematical modeling, optimization, metallurgical and statistics.

Francisco de Jesús Mondelo García, University of Havana, Cuba

Francisco de Jesús Mondelo García born in Havana, Cuba in 1960 graduated from Metallurgical Engineering, specializing in smelting of ferrous and non-ferrous metals and alloys at the higher Polytechnic Institute of Azerbayshan-AZPI, where he also received the scientific degree of Master of Science (MSc) in Engineering Technical Sciences that year. Sufficient work experience (27 years) in production, technology, and management from 1984 to 2010 in metallurgical companies and ferrous and non-ferrous castings. In 2003 he graduated as a Diploma Specialist and in 2004 he received a 2nd Master's Degree in Technical Sciences at the Technological University of Havana-UTLH. Here he begins his vast teaching experience (21 years) in undergraduate, postgraduate, and industrial training as Assistant Professor from 1998 to today. His research interests include technological processes and the manufacture of parts in alloys and non-metals and includes polymeric composites or nanocomposites with particulate reinforcements in his doctoral thesis in development

Alexandre do Nascimento Silva, Universidade do Estado da Bahia

Alexandre do Nascimento Silva, natural de Recife/PE, nasceu em 01 de março de 1978. Concluiu o ensino superior em Administração na Faculdades Integradas Olga Mettig; recebeu o diploma de especialização e mestrado em Computação Científica pela Fundação Visconde de Cairu em 2003 e 2009 respectivamente. Também concluiu o curso superior de Engenharia de Produção na ÁREA1 em 2016. Ainda concluiu o doutorado em Modelagem Computaconal e Tecnologia Industrial no SENAI CIMATEC em 2017.

Marcos Batista Figueredo, Universidade do Estado da Bahia

Professor com formação básica em matemática e computação, com mais de 20 anos de experiência no ensino superior. Mestrado e doutorado em Modelagem Computacional e Tecnologia Industrial pela Universidade Federal da Bahia, com destaque em áreas de pesquisa como Modelagem Matemática, Visão Computacional, Reconhecimento de Padrões e Energias Renováveis. Minha paixão pela educação me levou a desenvolver atividades de ensino em disciplinas como matemática, computação e física, além de supervisionar projetos de Iniciação Científica, monitoria de ensino, TCC e atividades extracurriculares de pesquisa. Considerado sempre que é importante que os estudantes sejam capazes de aplicar o que aprendem na resolução de problemas da sua comunidade e, por isso, estimulamos a criatividade e a inovação. Como pesquisador, tenho trabalhado em projetos de grande relevância, incluindo o desenvolvimento de modelos matemáticos para análise de sistemas de energia renovável, o estudo de algoritmos de Visão Computacional para detecção de objetos em imagens e vídeos, e a criação de métodos de Reconhecimento de Padrões para identificação de problemas na indústria. Recentemente, me dedicado a pesquisas na área de Inteligência Artificial, com ênfase em Aprendizado de Máquina e Processamento de Linguagem Natural. Meu trabalho atual de pós-doutorado envolve a aplicação dessas técnicas para a criação de modelos de predição em de vazamentos de gás e desenvolvimento de uma plataforma de ensino mediado por tecnologia. Além das atividades de ensino e pesquisa, tenho tido o privilégio de coordenar o Mestrado Acadêmico em Modelagem e Simulação de Biossistemas na Universidade do Estado da Bahia, onde ajudo a desenvolver as habilidades de pesquisa e análise dos alunos e a incentivar a colaboração científica e o diálogo entre diferentes áreas de conhecimento.

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Publicado

2023-11-29

Edição

2023: Transformative Responses

Seção

Articles