Search:
Computing and Library Services - delivering an inspiring information environment

Prediction of metal pm emission in rail tracks for condition monitoring application

Tesfa, Belachew, Gu, Fengshou, Anyakwo, Arthur, Al Thobiani, Faisal and Ball, Andrew (2011) Prediction of metal pm emission in rail tracks for condition monitoring application. In: RCM 2011: The 5th IET conference on Railway Condition Monitoring and Non-Destructive Testing, 29-30 Nov 2011, Derby, UK. (Unpublished)

[img]
Preview
PDF - Accepted Version
Download (185kB) | Preview

    Abstract

    Exposure to particulate material (PM) is a major health concern in megacities across the world which use trains as a primary public transport. PM emissions caused by railway traffic have hardly been investigated in the past, due to their obviously minor influence on the atmospheric air quality compared to automotive transport. However, the electrical train releases particles mainly originate from wear of rails track, brakes, wheels and carbon contact stripe which are the main causes of cardio-pulmonary and lung cancer. In previous reports most of the researchers have focused on case studies based PM emission investigation. However, the PM emission measured in this way doesn’t show separately the metal PM emission to the environment. In this study a generic PM emission model is developed using rail wheel-track wear model to quantify and characterise the metal emissions. The modelling has based on Archard’s wear model. The prediction models estimated the passenger train of one set emits 6.6mg/km-train at 60m/s speed. The effects of train speed on the PM emission has been also investigated and resulted in when the train speed increase the metal PM emission decrease. Using the model the metal PM emission has been studied for the train line between Leeds and Manchester to show potential emissions produced each day. This PM emission characteristics can be used to monitor the brakes, the wheels and the rail tracks conditions in future.

    Item Type: Conference or Workshop Item (Paper)
    Subjects: T Technology > TF Railroad engineering and operation
    Schools: School of Computing and Engineering
    School of Computing and Engineering > Diagnostic Engineering Research Centre
    Depositing User: Belachew Tesfa
    Date Deposited: 13 Dec 2011 10:32
    Last Modified: 10 Aug 2012 13:53
    URI: http://eprints.hud.ac.uk/id/eprint/11991

    Document Downloads

    Downloader Countries

    More statistics for this item...

    Item control for Repository Staff only:

    View Item

    University of Huddersfield, Queensgate, Huddersfield, HD1 3DH Copyright and Disclaimer All rights reserved ©