Non Destructive Testing applied to railway axles is performed both in production and in maintenance. During production, NDT is carried out at different stages adopting different techniques, while during maintenance (in-service inspection) only ultrasonic testing is usually carried out. The present paper is focused on some aspects of calibration related to the in-service inspection of railway axles by means of ultrasonic NDT. In particular, applied standards request to calibrate sensitivity on suitable reference blocks provided with notches. In order to investigate the performance of these notches in respect to real cracks, the echoes coming from fatigue cracks generated onto hollow axles made in A4T steel by means of a dedicated test bench have been compared with those detected from suitable reference blocks. The results suggest some clues for designing effective sample blocks for railway axles.


    Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

    An analysis of UT echoes coming from fatigue cracks and artificial defects on railway axles


    Additional title:

    Eine Analyse von Ultraschallechos aus Ermüdungsrissen und künstlichen Fehlern an Eisenbahnachsen


    Contributors:


    Publication date :

    2008


    Size :

    6 Seiten, 4 Bilder, 14 Quellen


    Type of media :

    Conference paper


    Type of material :

    Storage medium


    Language :

    English




    The Fatigue Strength of Railway Axles

    Benyon, J. / Kay, C. J. / Young, A. T. et al. | British Library Conference Proceedings | 1992


    Research on corrosion fatigue of railway axles

    Carboni, M. / Beretta, S. / Lo Conte, A. | Tema Archive | 2011


    A study of fatigue cracks in car axles

    Engineering Index Backfile | 1929


    Simulation of fatigue crack propagation in railway axles

    Beretta, S. / Carboni, M. | Tema Archive | 2005


    Automatic online fatigue crack detection in railway axles

    Garcia-Prada, Juan Carlos / Gomez, Maria J. / Castejon, Cristina | IEEE | 2016