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Predicting specific gravity and viscosity of biodiesel fuels

Tesfa, Belachew, Mishra, Rakesh, Gu, Fengshou and Ball, Andrew (2009) Predicting specific gravity and viscosity of biodiesel fuels. In: Proceedings of Computing and Engineering Annual Researchers' Conference 2009: CEARC’09. University of Huddersfield, Huddersfield, pp. 38-44. ISBN 9781862180857

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    Abstract

    Biodiesel is a promising non-toxic and biodegradable alternative fuel in transport sector. Of all the biodiesel properties, specific gravity and viscosity are the most significant for the effects they have on the utilization of biodiesel fuels in unmodified engines. This paper presents models, which have been derived from experimental data, for predicting the specific gravity and dynamic viscosity of biodiesel at various temperatures and fractions. In addition a model has also been developed to predict the dynamic viscosity of the biodiesel from its specific gravity. In order to develop these models, the specific gravity and viscosity of rapeseed oil biodiesel, corn oil biodiesel and waste oil biodiesel blends (0B, 5B, 10B, 20B, 50B, 75B, and 100B) were tasted across a temperature range of 15.6oC to 90oC using EN ISO 3675:1998 and EN ISO 3104:1996 test procedures. Evaluation of the proposed models shows it has same order of accuracy as the other models published in literature.

    Item Type: Book Chapter
    Uncontrolled Keywords: Biodiesel, Density, Viscosity, Blend, Fuel supply system
    Subjects: T Technology > T Technology (General)
    T Technology > TL Motor vehicles. Aeronautics. Astronautics
    Schools: School of Computing and Engineering
    School of Computing and Engineering > Automotive Engineering 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 > Informatics Research Group
    School of Computing and Engineering > Informatics Research Group > XML, Database and Information Retrieval Research Group
    School of Computing and Engineering > Pedagogical Research Group
    Related URLs:
    Depositing User: Sharon Beastall
    Date Deposited: 27 Jan 2010 11:11
    Last Modified: 09 Dec 2010 09:49
    URI: http://eprints.hud.ac.uk/id/eprint/6859

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