Analysis of rocket jet particulate using euler-lagrange and euler-euler approaches

Douglas H. Fontes, Dana Mikkelsen, Michael P. Kinzel

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    4 Scopus citations

    Abstract

    Particle laden flows are often modeled using one of two numerical approaches: Euler-Lagrange and Euler-Euler. The Euler-Lagrange approach analyzes the particulate phase from a control mass perspective, then the solid particulate phase is coupled to a (continuous) fluid phase based on the underlying fluid-flow equations formulated within an Eulerian model. The Euler-Euler approach, however, applies the Eulerian formulation for both the fluid and particulate phase. The aim in this effort is to evaluate the approaches in the context of a two-dimensional, compressible gas flow laden with particulate and impinging on a normal surface. Such flows are relevant to classes of solid rockets, sandblast nozzles, and other particle-laden flows in the context of converging-diverging nozzles. Several comparisons are made between both approaches. This first pertains to model accuracy of the particulate flow, which involves comparing particle velocities and distributions throughout the numerical domain. In addition, the computational time required to solve particle flow in a compressible gas flow was compared between both numerical approaches. The Euler-Euler approach presented a lower computational time to solve particle flow for the rocket jet compared to the Euler-Lagrange approach. The Euler-Euler approach also showed a lower computational cost than that of the Euler-Lagrange approach to reach a steady solution. Also, a numerical validation of an under-expanded jet case was performed using the Euler-Euler approach. The results of the simulation agreed strongly with experimental measurements.

    Original languageEnglish (US)
    Title of host publicationAIAA Scitech 2020 Forum
    PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
    Pages1-13
    Number of pages13
    ISBN (Print)9781624105951
    DOIs
    StatePublished - 2020
    EventAIAA Scitech Forum, 2020 - Orlando, United States
    Duration: Jan 6 2020Jan 10 2020

    Publication series

    NameAIAA Scitech 2020 Forum
    Volume1 PartF

    Conference

    ConferenceAIAA Scitech Forum, 2020
    Country/TerritoryUnited States
    CityOrlando
    Period1/6/201/10/20

    All Science Journal Classification (ASJC) codes

    • Aerospace Engineering

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