Estudio del desgaste de carriles en servicio y optimización de su mantenimiento

  1. Quintana-Nicolás, Amador 1
  2. Preciado-Calzada, Mónica 2
  1. 1 Instituto de Neurología Cognitiva
    info

    Instituto de Neurología Cognitiva

    Buenos Aires, Argentina

    ROR https://ror.org/02vt2xa24

  2. 2 Universidad de Burgos, Escuela Politécnica Superior
Zeitschrift:
Revista de metalurgia

ISSN: 0034-8570

Datum der Publikation: 2016

Ausgabe: 52

Nummer: 4

Seiten: 80-80

Art: Artikel

DOI: 10.3989/REVMETALM.080 DIALNET GOOGLE SCHOLAR lock_openOpen Access editor

Andere Publikationen in: Revista de metalurgia

Zusammenfassung

This work aims to study the natural wearing of the rails when it comes from the sliding effect of the wheels running on the rail surface. It also studies the influence of the applied high dynamic loads on the microstructure of the rail steel properties. The experimental part analyses real samples obtained from rails removed from the track and some other samples to which a forced wearing has been induced in the laboratory. All experimental data have been validated according to the Archard model of wearing, with satisfactory results. This investigation can be applied on the planning of the maintenance works for the rail, with focus on the optimization of preventive grinding intervals.

Bibliographische Referenzen

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  • Archard, J.F., Hirst, W. (1956). The wear of metals under unlubricated conditions. Proc. R. Soc. Lond. A 236, 397–410. https://doi.org/10.1098/rspa.1956.0144
  • Bayer, R.G. (2002). Wear Analysis for Engineers, HNB Publishing, New York, USA.
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  • Santa, J.F., Toro, A., Lewis, R. (2016). Correlations between rail wear rates and operating condition in a commercial railroad. Tribol. Int. 95, 5–12. https://doi.org/10.1016/j.triboint.2015.11.003
  • Suárez, F.A., Vélez, J.M. (2005). Estudio del modelo de desgaste propuesto por Archard. Dyna 72 (146), 27–43.
  • UNE-EN 13674-1 (2012). Aplicaciones ferroviarias. V.a. Carriles. Parte 1: Carriles Vignole de masa mayor o igual a 46 kg.m-1.
Fuente de los datos: Dialnet