Dynamic simulation of a roller rig

Anyakwo, Arthur, Pislaru, Crinela, Ball, Andrew and Gu, Fengshou (2012) Dynamic simulation of a roller rig. In: Proceedings of The Queen’s Diamond Jubilee Computing and Engineering Annual Researchers’ Conference 2012: CEARC’12. University of Huddersfield, Huddersfield, pp. 51-56. ISBN 978-1-86218-106-9

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Abstract

The dynamic behaviour of railway vehicles is greatly influenced by the interaction of the wheelsets on the railway track. This behaviour can be replicated in laboratory conditions using a scaled roller rig. This paper presents the results of the modeling and simulation of a one-fifth scale roller rig. The simulation results obtained have been compared with a real railway vehicle (bogie) on the track. It has been observed that the scale roller rig has a much lower critical velocity than real railway vehicle due to the similarity and dimensional scaling laws that are taken into consideration in the roller rig design. The scale roller rig critical speed was observed to be 10.2 m/s while the Full Scale railway vehicle model was found to be 52 m/s. It can be concluded that the critical speed of the scaled roller rig model is one-fifth of the full scale critical speed.

Item Type:	Book Chapter
Uncontrolled Keywords:	Modelling simulation scale roller rig critical speed
Subjects:	T Technology > TA Engineering (General). Civil engineering (General)
Schools:	School of Computing and Engineering School of Computing and Engineering > Automotive Engineering Research Group School of Computing and Engineering > Centre for Precision Technologies School of Computing and Engineering > Centre for Precision Technologies > Engineering Control and Machine Performance Research Group School of Computing and Engineering > Computing and Engineering Annual Researchers' Conference (CEARC) School of Computing and Engineering > Diagnostic Engineering Research Centre School of Computing and Engineering > Diagnostic Engineering Research Centre > Energy, Emissions and the Environment Research Group School of Computing and Engineering > Diagnostic Engineering Research Centre > Machinery Condition and Performance Monitoring Research Group School of Computing and Engineering > Diagnostic Engineering Research Centre > Measurement System and Signal Processing Research Group School of Computing and Engineering > High-Performance Intelligent Computing School of Computing and Engineering > High-Performance Intelligent Computing > Information and Systems Engineering Group School of Computing and Engineering > Pedagogical Research Group
Related URLs:	Author Author Author Author
Depositing User:	Sharon Beastall
Date Deposited:	01 May 2012 08:53
Last Modified:	23 Aug 2017 09:23
URI:	http://eprints.hud.ac.uk/id/eprint/13447

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