A hereditary model and a fractional derivative model for the dynamic properties of flexible polyurethane foams used in automotive seal cushions are presented. Non-linear elastic and linear viscoelastic properties are incorporated into these two models. A polynomial function of compression is used to represent the non-linear elastic behaviour. The viscoelastic property is modelled by a hereditary integral with a relaxation kernel consisting of two exponential terms in the hereditary model and by a fractional derivative term in the fractional derivative model. The foam is used as the only viscoelastic component in a foam-mass system undergoing uni-axial compression. One-term harmonic balance solutions are developed to approximate the steady state response of the foam-mass system to the harmonic base excitation. System identification procedures based on the direct non-linear optimisation and a sub-optimal method are formulated to estimate the material parameters. The effects of the choice of the cast function, frequency resolution of data and imperfections in experiments are discussed. The system identification procedures are also applied to experimental data from a foam-mass system. The performances of the two models for data at different compression and input excitation levels are compared, and modifications to the structure of the fractional derivative model are briefly explored. The role of the viscous damping term in both types of model is discussed.


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    Titel :

    Flexible polyurethane foam modelling and identification of viscoelastic parameters for automotive seating applications


    Weitere Titelangaben:

    Modellierung flexibler Polyurethan Schäume und Identifikation viskoelastischer Parameter für Automobilsitze


    Beteiligte:
    Deng, R. (Autor:in) / Davies, P. (Autor:in) / Bajaj, A.K. (Autor:in)


    Erscheinungsdatum :

    2003


    Format / Umfang :

    27 Seiten, 17 Bilder, 2 Tabellen, 30 Quellen




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch





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