Modelling of an Elastomer Profile Extrusión Process using Support Vector Machines (SVM)

  1. Martínez-de-Pisón, F.J. 12
  2. Barreto, C. 12
  3. Pernía, A. 12
  4. Alba, F. 12
  1. 1 Universidad de La Rioja
    info

    Universidad de La Rioja

    Logroño, España

    ROR https://ror.org/0553yr311

  2. 2 Tecnológico Nacional de México
    info

    Tecnológico Nacional de México

    Ciudad de México, México

    ROR https://ror.org/00davry38

Revista:
Journal of Materials Processing Technology

ISSN: 0924-0136

Año de publicación: 2008

Volumen: 197

Número: 1

Páginas: 161-169

Tipo: Artículo

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DOI: 10.1016/J.JMATPROTEC.2007.06.025 SCOPUS: 2-s2.0-37049037274 WoS: WOS:000252514600023 GOOGLE SCHOLAR

Otras publicaciones en: Journal of Materials Processing Technology

Objetivos de desarrollo sostenible

Resumen

This article describes a methodology for semi-automatically classifying and modelling the best start-up curves of an elastomer extrusion process for the automobile industry. These starts are performed manually due to their difficulty and depend on the experience of the operator and on the type of product to be extruded. If the product is not extruded correctly, considerable time and raw material may be lost. The final objective of this study was to identify and model, using the database of manufacturing histories, the best start-up curves produced for each profile manufactured. With the new models obtained, we were able to automate the process and reduce the time used in these start-ups subsequently increasing production, improving quality, reducing defective material and stress on production staff. Initially, principal components analysis (PCA) was used to identify the start-ups that reached the stationary regime most quickly. After extracting the most significant variables from these start-up curves, a dynamic control model was developed using support vector machines (SVM) capable of predicting the velocity variables of the extruders. © 2007 Elsevier B.V. All rights reserved.