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    • Numerical prediction of curing and process-induced distortion of composite structures

    Alexander Bernath

    Band 88 von Karlsruher Schriftenreihe Fahrzeugsystemtechnik
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    Fiber-reinforced materials offer a huge potential for lightweight design of load-bearing structures. However, high-volume production of such parts is still a challenge in terms of cost efficiency and competitiveness. Numerical process simulation can be used to analyze underlying mechanisms and to find a suitable process design. In this study, the curing process of the resin is investigated with regard to its influence on RTM mold filling and process-induced distortion.

    Umfang: XIX, 253 S.

    Preis: 50.00 €

    Fächer:

    Maschinenbau und Verfahrenstechnik 

    Schlagwörter:

    Prozesssimulation Leichtbau Faserverbundwerkstoff Formfüllsimulation Bauteilverzug process simulation lightweight design composite mold-filling simulation process-induced distortion

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    Empfohlene Zitierweise
    Bernath, A. 2021. Numerical prediction of curing and process-induced distortion of composite structures. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000125453
    Bernath, A., 2021. Numerical prediction of curing and process-induced distortion of composite structures. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000125453
    Bernath, A. Numerical Prediction of Curing and Process-induced Distortion of Composite Structures. KIT Scientific Publishing, 2021. DOI: https://doi.org/10.5445/KSP/1000125453
    Bernath, A. (2021). Numerical prediction of curing and process-induced distortion of composite structures. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000125453
    Bernath, Alexander. 2021. Numerical Prediction of Curing and Process-induced Distortion of Composite Structures. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000125453



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    Weitere Informationen

    Veröffentlicht am 29. Oktober 2021

    Sprache

    Englisch

    Seitenanzahl:

    296

    ISBN
    Paperback 978-3-7315-1063-5

    DOI
    https://doi.org/10.5445/KSP/1000125453