Methane is considered a good choice as a propellant for future reusable launch systems. However, the heat transfer prediction for supercritical methane flowing in the cooling channels of a regeneratively cooled combustion chamber is challenging. Because accurate heat transfer predictions are essential to design reliable and efficient cooling systems, heat transfer modeling is a fundamental issue to address. Advanced computational fluid dynamics (CFD) calculations achieve sufficient accuracy, but the associated computational cost prevents an efficient integration in optimization loops. Surrogate models based on artificial neural networks (ANNs) offer a great speed advantage. It is shown that an ANN, trained on data extracted from samples of CFD simulations, is able to predict the maximum wall temperature along straight rocket engine cooling channels using methane with convincing precision. The combination of the ANN model with simple relations for pressure drop and enthalpy rise results in a complete reduced-order model, which can be used for numerically efficient design space exploration and optimization.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Heat Transfer Prediction for Methane in Regenerative Cooling Channels with Neural Networks


    Beteiligte:
    Waxenegger-Wilfing, G. (Autor:in) / Dresia, K. (Autor:in) / Deeken, J. C. (Autor:in) / Oschwald, M. (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2020-01-10


    Format / Umfang :

    11 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Improving Heat Transfer in Regenerative Cooling Channels Using Metal Foams

    Blickle, Benjamin / Burns, Ethan / Ellis, Anthony et al. | AIAA | 2023



    Supercritical Methane Heat Transfer Modeling in Rocket Engine Cooling Channels

    Pizzarelli, Marco / Nasuti, Francesco / Onofri, Marcello et al. | AIAA | 2013



    Investigation of Transcritical Methane Flow and Heat Transfer in Curved Cooling Channels

    Pizzarelli, Marco / Nasuti, Francesco / Onofri, Marcello | AIAA | 2009