Acoustics: Aero & Hydro

ORAL · U11 · ID: 676462





Presentations

  • ORAL

    Publication: Willis, W. A., Cormack, J. M., Tinney, C. E., & Hamilton, M. F. (2022). Reduced-order models of coalescing Mach Waves. AIAA SCITECH 2022 Forum. https://doi.org/10.2514/6.2022-1792

    Presenters

    • Charles E Tinney

      • Applied Research Laboratories, The University of Texas at Austin, Austin, Texas, United States

    Authors

    • William A Willis

      • Applied Research Laboratories, The University of Texas at Austin, Austin, Texas, United States
    • John A Valdez

      • Applied Research Laboratories, The University of Texas at Austin, Austin, Texas, United States
    • Charles E Tinney

      • Applied Research Laboratories, The University of Texas at Austin, Austin, Texas, United States
    • Mark F Hamilton

      • Applied Research Laboratories, The University of Texas at Austin, Austin, Texas, United States

    View abstract →

  • ORAL

    Publication: Pedergnana, T., Bourquard, C., Faure-Beaulieu, A., & Noiray, N. (2021). Modeling the nonlinear aeroacoustic response of a harmonically forced side branch aperture under turbulent grazing flow. Physical Review Fluids, 6(2), 023903.

    Presenters

    • Tiemo Pedergnana

      • ETH Zürich
      • ETH Zürich - CAPS Laboratory

    Authors

    • Tiemo Pedergnana

      • ETH Zürich
      • ETH Zürich - CAPS Laboratory
    • Claire Bourquard

      • ETH Zürich
      • Silicon Austria Labs GmbH, ETH Zurich
      • Silicon Austria Labs (SAL), ETH Zurich
    • Abel Faure Beaulieu

      • ETH Zürich
      • ETH Zürich - CAPS Laboratory
    • Nicolas Noiray

      • ETH Zürich
      • ETH Zürich - CAPS Laboratory
      • CAPS Laboratory, Department of Mechanical and Process Engineering, ETH Zurich, Z ¨ urich 8092, Switzerland
      • CAPS Laboratory, Department of Mechanical and Process Engineering, ETH Zürich, Zürich 8092, Switzerland

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  • ORAL

    Presenters

    • MyungJun Song

      • Florida State University

    Authors

    • MyungJun Song

      • Florida State University
    • Fernando Zigunov

      • Florida State University
      • Florida State
    • serdar seckin

      • Florida State University
    • Yousef Saleh

      • Florida State University
    • Rajan Kumar

      • Florida State University
    • Farrukh S Alvi

      • Florida State University

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  • ORAL

    Presenters

    • Mitchell Swann

      • Pennsylvania State University

    Authors

    • Mitchell Swann

      • Pennsylvania State University
    • Zachary Yoas

      • Penn State University (current affiliation General Dynamics Electric Boat)
    • Paul Trzcinski

      • Penn State University
      • Applied Research Laboratory Penn State University
    • Adam Nickels

      • Penn State University
      • Pennsylvania State University
    • Michael H Krane

      • Penn State University

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  • ORAL

    Publication: Wong, Man Long, et al. "Predictions of LAGOON Nose Landing Gear Flow and Noise using Wall-Modeled Large Eddy Simulations." 28th AIAA/CEAS Aeroacoustics 2022 Conference. 2022.

    Presenters

    • Man Long Wong

      • NASA Ames Research Center

    Authors

    • Man Long Wong

      • NASA Ames Research Center
    • Gaetan K Kenway

      • NASA Ames Research Center
    • Aditya S Ghate

      • NASA Ames Research Center
    • Gerrit-Daniel Stich

      • NASA Ames Research Center
    • Cetin C Kiris

      • NASA Ames Research Center

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  • ORAL

    Publication: Yang, Tian & Thoroddsen, J. Fluid Mech. (2022).

    Presenters

    • ZIQIANG YANG

      • King Abdullah University of Science and Technology
      • King Abdullah Univ of Sci & Tech (KAUST)

    Authors

    • ZIQIANG YANG

      • King Abdullah University of Science and Technology
      • King Abdullah Univ of Sci & Tech (KAUST)
    • Yuansi Tian

      • King Abdullah Univ of Sci & Tech (KAUST)
    • Sigurdur T Thoroddsen

      • King Abdullah Univ of Sci & Tech (KAUST)
      • King Abdullah University of Science and Technology (KAUST)
      • King Abdullah University of Science and Technology

    View abstract →