Abstract The rebound and adhesion characteristics of high-temperature alumina droplets upon collision with walls at varied temperatures, are pivotal for the accurate calculation of slag deposition and two-phase flow in solid rocket motors. This study employs an experimental system for high-temperature alumina droplet-wall collisions to gain insights into collision characteristics. The study procures rebound/adhesion regime maps for alumina droplet-wall collisions at different wall temperatures, which suggests that droplets with larger R e n (normal Reynolds number) propensity towards adhesion under the same Ohnesorge number. Further observations include the expansion of the rebound region as the wall temperature incrementally rose from 25 °C to 1000 °C. In view of these, an energy predictive model considering the heat conduction between the droplet and the wall is developed. This model aims to predict the rebound/adhesion of high-temperature alumina droplets colliding with walls at different temperatures. The predictive model's results are then fit to obtain a rapid predictive formula suitable for quick prediction. Both the energy predictive model and the rapid predictive formula undergo verification via 40 validation experiments, consequentially achieving a prediction accuracy of 95.0 %.

    Highlights Collision result regime maps under walls of 25∼1000 °C are obtained. A rapid predictive formula suitable for quick prediction is obtained. Collision result predictive model is established with a prediction accuracy of 95 %.


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    Titel :

    Experiment and model study of rebound/adhesion characteristics of alumina droplets colliding with walls at different temperatures


    Beteiligte:
    Zhu, Gen (Autor:in) / Hu, Yupeng (Autor:in) / Wu, Song (Autor:in)

    Erschienen in:

    Acta Astronautica ; 217 ; 246-254


    Erscheinungsdatum :

    2024-01-20


    Format / Umfang :

    9 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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