Estimation of mechanical properties of steel strip in hot dip galvanising lines

  1. Meré, J.B.O. 1
  2. Marcos, A.G. 1
  3. González, J.A. 2
  4. Rubio, V.L. 2
  1. 1 Universidad de La Rioja
    info

    Universidad de La Rioja

    Logroño, España

    ROR https://ror.org/0553yr311

  2. 2 Ctro. de Tecnológico Aceralia, Arcelor, Aviles, Asturias, Spain
Revista:
Ironmaking and Steelmaking

ISSN: 0301-9233

Año de publicación: 2004

Volumen: 31

Número: 1

Páginas: 43-50

Tipo: Artículo

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DOI: 10.1179/030192304225012060 SCOPUS: 2-s2.0-3042518866 WoS: WOS:000222387200006 GOOGLE SCHOLAR

Otras publicaciones en: Ironmaking and Steelmaking

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Resumen

In this paper, the application of data mining and artificial intelligence techniques stemming from other problem areas to the particular case of a galvanised steel manufacturing process, is presented. The main goal is to optimise the quality control of galvanised steel by developing a predictive model of the mechanical properties according to the chemical composition and manufacturing conditions in the annealing furnace.