A dynamic modelling method for the piston-crankshaft system in an internal combustion engine, including two-dimensional oil-film forces of the piston pack, was proposed. In order to obtain the dynamic performance of this system, the dynamic equations for the components in the system were presented. Meanwhile, a radial base function neural network technology was employed to reconstruct the two-dimensional oil-film forces, which are then coupled to the presented dynamic equations for the components. The validity of the proposed modelling method for the piston-crankshaft system was demonstrated, and conclusions concerning the dynamic performance of the system were drawn.


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    Titel :

    Analysis of the dynamic performances of a piston-crankshaft system considering oil-film forces reconstructed by a neural network


    Beteiligte:
    Meng, F M (Autor:in) / Hu, Y Z (Autor:in) / Wang, H (Autor:in) / Zhang, Y Y (Autor:in)


    Erscheinungsdatum :

    01.02.2007


    Format / Umfang :

    10 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch