Tecnologia em Metalurgia, Materiais e Mineração
https://tecnologiammm.com.br/article/doi/10.4322/tmm.00502007
Tecnologia em Metalurgia, Materiais e Mineração
Artigo Original

APLICAÇÃO DE TÉCNICAS DE INTELIGÊNCIA COMPUTACIONAL PARA PREDIÇÃO DE PROPRIEDADES MECÂNICAS DE AÇOS DE ALTA RESISTÊNCIA MICROLIGADOS

USING OF COMPUTATIONAL INTELLIGENCE METHODS FOR MECHANICAL PROPERTIES PREDICTION OF HSLA STEELS

Takahashi, Hiroshi Jorge; Rabelo, Gláucio Bórtoli da C.; Teixeira, Roselito de Albuquerque

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Resumo

A obtenção de propriedades mecânicas especificadas para os produtos é um aspecto fundamental na siderurgia. A abordagem fenomenológica para a modelagem das propriedades mecânicas não tem apresentado resultados satisfatórios, em função da quantidade e diversidade das variáveis e processos envolvidos. Nesse contexto, pelas suas características, as técnicas de inteligência computacional têm sido utilizadas como alternativas viáveis. Este trabalho apresenta o desenvolvimento e a implantação, na Usiminas, de uma ferramenta de apoio à decisão baseada nas técnicas de inteligência computacional, para a predição de propriedades mecânicas de aços de alta resistência microligados, laminados a frio e revestidos por imersão a quente.

Palavras-chave

Rede neural artificial, Sistema híbrido, Aço microligado, Propriedades mecânicas

Abstract

The attainment of desired mechanical properties is a crucial aspect for steelmaking industries. Traditional physical modeling approaches have not been satisfactory, due to the complicated nature of the processes, very complex and multidimensional ones. In this context, by their characteristics, computational intelligence methods have been used and considered as a viable alternative. This paper describes the development and the implementation of a decision support tool for mechanical properties prediction of coated high strength low alloy steel at Usiminas steelworks in Brazil.

Keywords

Artificial neural network, Hybrid neuro-fuzzy systems, HSLA, Mechanical properties

Referências

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