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Cause and Effect Analysis in a Real Industrial Context: Study of a Particular Application Devoted to Quality Improvement

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Neural Advances in Processing Nonlinear Dynamic Signals (WIRN 2017 2017)

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Abstract

This paper presents an analysis of the occurrence of ripple defects during Hot Deep Galvanising of flat steel products, with a focus on the study on thick coils having low zinc coating. Although skilled personnel can manage ripples defects through particular operations, for instance wiping nitrogen instead of air in air blades, the real effects of each process parameter variation is unknown. Therefore, the study of these phenomena can improve the quality of coils, by decreasing reworked or scrapped material and reducing costs related to a redundant use of nitrogen. An accurate pre-processing procedure has been performed and then the analysis focused on the possible causes of ripples occurrences. In particular, the attention is focused on the development of a model capable to identify process variables with a stronger impact on the presence or absence of ripples, by expressing such effect through an appropriate relationship.

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Author information

Authors and Affiliations

  1. Scuola Superiore Sant’ Anna, TeCIP Institute, Via Alamanni 13B, 56010, Pisa, Italy

    Silvia Cateni, Valentina Colla & Antonella Vignali

  2. VDEh-Betriebsforschungsinstitut GmbH (BFI), Dusseldorf, Germany

    Jens Brandenburger

Authors
  1. Silvia Cateni
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  2. Valentina Colla
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  3. Antonella Vignali
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  4. Jens Brandenburger
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Corresponding author

Correspondence to Silvia Cateni .

Editor information

Editors and Affiliations

  1. Dipartimento di Psicologia, Università della Campana Luigi Vanvitelli, Caserta, Italy

    Anna Esposito

  2. Fundació Tecnocampus, Pompeu Fabra University, Mataro, Barcelona, Spain

    Marcos Faundez-Zanuy

  3. Department of Civil, Environmental, Energy, and Material Engineering, University Mediterranea of Reggio Calabria, Reggio Calabria, Italy

    Francesco Carlo Morabito

  4. Laboratorio di Neuronica, Dipartimento Elettronica e Telecomunicazioni, Politecnico di Torino, Torino, Italy

    Eros Pasero

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Cateni, S., Colla, V., Vignali, A., Brandenburger, J. (2019). Cause and Effect Analysis in a Real Industrial Context: Study of a Particular Application Devoted to Quality Improvement. In: Esposito, A., Faundez-Zanuy, M., Morabito, F., Pasero, E. (eds) Neural Advances in Processing Nonlinear Dynamic Signals. WIRN 2017 2017. Smart Innovation, Systems and Technologies, vol 102. Springer, Cham. https://doi.org/10.1007/978-3-319-95098-3_20

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