Carbon materials exhibit outstanding thermo-mechanical properties and low density (less-than 2 g/cm3), which make them useful for structures submitted to high temperatures (T greater-than 1000 deg C). Solid rocket motor throats, thermal barrier protection systems, turbine rotors and high temperature process components are typical applications for these materials. The manufacture of carbon materials, such as carbon fibers and carbon reinforced fiber composites (CRFC), undergo a controlled pyrolysis process, where organic precursors such as resins, pitches, and polymeric fibres are converted over 800 deg C into a solid carbon material. In the present work the activation energy from a carbon reinforced carbon composites were obtained by thermogravimetry analysis. The experiment involved heating samples of the mentioned materials at fixed constant heating rate schedule up to 1000 deg C. The kinetic parameters were obtained by analyzing the weight loss curves. The non-linear fitting method based on Levenberg-Marquardt approach was used to fit the weights loss curves at five heating rates.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Artificial neural network (ANN) prediction of kinetic parameters of (CRFC) composites


    Beteiligte:
    Bezerra, E.M. (Autor:in) / Bento, M.S. (Autor:in) / Rocco, J.A.F. (Autor:in) / Iha, K. (Autor:in) / Lourenco, V.L. (Autor:in) / Pardini, L.C. (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2008


    Format / Umfang :

    8 Seiten, 26 Quellen




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Print


    Sprache :

    Englisch





    Weighting of Parameters in Artificial Neural Network Prediction of Heavy-Duty Diesel Engine Emissions

    Jarrett, R. P. / Clark, N. N. / Society of Automotive Engineers | British Library Conference Proceedings | 2002



    Weighting of parameters in artificial neural network prediction of heavy-duty diesel engine emissions

    Jarrett,R.P. / Clark,N.N. / West Virginia Univ.,US | Kraftfahrwesen | 2002


    Artificial neural network models for airport capacity prediction

    Choi, Sun / Kim, Young Jin | Elsevier | 2021