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An empirical approach to predicting heat transfer within single- and twin-skin automotive exhaust systems


Reference:

Bannister, C. D., Brace, C. J., Taylor, J., Brooks, T. and Fraser, N., 2011. An empirical approach to predicting heat transfer within single- and twin-skin automotive exhaust systems. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 225 (7), pp. 913-929.

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    Official URL:

    http://dx.doi.org/10.1177/0954407010397464

    Abstract

    This paper describes the further development of an exhaust system model based on the experimental characterisation of heat transfer in a series of different pipe sections. Building on previous work published in this journal by the authors, this study was undertaken to improve the operating range, accuracy and usability of the original model as well as introducing the ability to model twin skin exhaust sections with an air gap. Convective heat transfer relationships for nine stainless steel exhaust bend sections of varying wall thicknesses and radiuses were experimentally characterised over a range of steady state conditions. In each case a correlation between observed Reynolds number (Re) and Nusselt number (Nu) was developed. Based on measured experimental data, a generic model was built using Matlab/Simulink capable of predicting the relationship between Nusselt number and Reynolds number for previously unseen pipe geometries falling within the experimental design range. To further develop the usefulness of the model, fifteen twin skin test sections, intended to represent a range of geometries applicable to production automotive gasoline exhaust systems, were also fabricated and characterised. Within the model, both skins of each pipe section were split into five axial and radial elements with the inner and outer skins linked via the modelling of free convection and radiation between them. The predicted Reynolds-Nusselt relationships for each bend section and twin skin configuration were validated using transient experimental data over a portion of the US06 drive cycle. The final model demonstrated improved accuracy of exhaust gas temperature predictions, compared with previous model iterations, with typical errors of less than 1% and a mean error over the US06 cycle of +0.2%.

    Details

    Item Type Articles
    CreatorsBannister, C. D., Brace, C. J., Taylor, J., Brooks, T. and Fraser, N.
    DOI10.1177/0954407010397464
    Uncontrolled Keywordsheat transfer, modelling, exhaust system
    DepartmentsFaculty of Engineering & Design > Mechanical Engineering
    Research CentresPowertrain & Vehicle Research Centre
    Publisher StatementCDB_twin_skin.pdf: ©Sage
    RefereedYes
    StatusPublished
    ID Code25445

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