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Repositorio de la Universidad de Oviedo. > Producción Bibliográfica de UniOvi: RECOPILA > Artículos >

Please use this identifier to cite or link to this item: http://hdl.handle.net/10651/29892

Title: Development of a skin pass preset model by using artificial intelligent methods
Author(s): Rendueles Vigil, José Luis
González, J. A.
Cos Juez, Francisco Javier de
Ortega Fernández, Francisco de Asís
Issue date: 2004
Publisher: EDP Sciences
Publisher version: http://dx.doi.org/10.1051/metal:2004140
Citation: Revue de Metallurgie. Cahiers D'Informations Techniques, 101(3), p. 243-251 (2004); doi:10.1051/metal:2004140
Format extent: p. 243-251
Abstract: The main objective of this paper is to present a model based on advanced artificial intelligence techniques to determine the preset values of the roll forces to be applied on the temper mill of a galvanizing line. This model will preset both the roll force needed for the required material and will also preset the necessary tension. The roughness is also foreseen by applying this method
URI: http://hdl.handle.net/10651/29892
ISSN: 0035-1563
Appears in Collections:Artículos
Explotación y Prospección de Minas

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