A system that calculates the stress concentration factor of the crankpin fillet from six characteristic dimensions of the crankshaft was developed using an artificial neural network. The learning database was constructed based on the finite element analysis, and an “adaptive transfer function algorithm” was used for the learning calculations. The calculation errors of the stress concentration factors applied to crankshafts of small utility engines and outboard motors were found to be within -6.9 to +6.3% of the measured values. With this system, designers can calculate the stress concentrated at crankpin fillets precisely in a short time.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Stress Calculation of Crankshaft Using Artificial Neural Network


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:
    Shiomi, Kazuyuki (Autor:in) / Watanabe, Sei (Autor:in)

    Kongress:

    Small Engine Technology Conference & Exposition ; 1995



    Erscheinungsdatum :

    01.09.1995




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




    Stress calculation of crankshaft using artificial neural network

    Shiomi,K. / Watanabe,S. / Honda Research and Development,JP | Kraftfahrwesen | 1995


    Enhanced crankshaft stress calculation method and fatigue life evaluation

    Rasser,M.W. / Resch,T. / Priebsch,H.H. et al. | Kraftfahrwesen | 1998


    A convenient calculation method on bending stress of crankshaft

    Yamashita,T. / Takahara,M. / Tsujimura,A. | Kraftfahrwesen | 1980


    Dynamic crankshaft stress calculation using a combination of MSS and FEA

    Rebbert,M. / Lach,R. / Kley,P. et al. | Kraftfahrwesen | 2000


    Crankshaft Load Calculation an Indeterminate Method

    Lopez Martinez, J. M. / Valdes Del Fresno, M. / Societe des ingenieurs de l'automobile | British Library Conference Proceedings | 1992