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Computational Characterization and Boundary Condition Models of a Jet Interaction Fluidic Oscillator

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3 Scopus citations

Abstract

Fluidically oscillating jet actuators that generate sweeping jets when supplied with a pressurized fluid have been used to mitigate separation and reduce drag in a range of flow control applications. Their implementation in future flight vehicles would require fundamental understanding and accurate predictive techniques of the physics of their internal flow and jet formation. The present investigations focus on high-fidelity, time-accurate simulations to characterize the flow physics of the actuator in quiescent conditions. An important element of the present simulations is to demonstrate the ability of the computational fluid dynamics (CFD) solver to predict the jet characteristics and provide a basis for the development of improved boundary conditions (BC) without entirely resolving the geometrical features of the fluidic device. The CFD-predicted oscillation frequencies of the engendered jets were found to be in excellent agreement with experiments, even on two-dimensional meshes. The study revealed that three-dimensional simulations are required to capture some of the flow features of the sweeping jet such as the double peak in time-averaged velocity distributions downstream of the actuator’s orifice that were measured in experiments. Several approaches for modeling the actuator were implemented and assessed in quiescent conditions. The evaluation of a boundary condition at the device throat, based on the phase-averaged flow variables, provides the basis for devising surface-based boundary conditions. The influence and necessity of including turbulent characteristics as part of the boundary conditions have also been identified.

Original languageEnglish
Pages (from-to)3638-3656
Number of pages19
JournalAIAA Journal
Volume59
Issue number9
DOIs
StatePublished - Sep 2021

Funding

This research was partially funded through the U.S. Army/Navy/ NASA Vertical Lift Research Center of Excellence at Georgia Institute of Technology via Task 5 under the direction of Mahendra Bhagwat of the U.S. Army Combat Capabilities Development Command Aviation & Missile Center (CCDC AvMC), agreement number W911W6-17-2-0002. Computational time was, in part, provided through the Department of Defense High Performance Computing Modernization Program from the Department of Defense High Performance Computing Center air force research laboratory DSRC. Roger Strawn was the Service/Agency Approval Authority for this High Performance Computing time, and his support is gratefully acknowledged. Final edits and revisions to the manuscript were performed with funding from the Oak Ridge Leadership Computing Facility at the Oak Ridge National Laboratory, which is supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC05-00OR22725. The authors would like to thank Daniel Heathcote, Curtis Peterson, and Bojan Vukasinovic for their contributions to this work through CAD models, initial computational grids, and insightful conversations. This manuscript has been authored in part by UT-Battelle, LLC, under contract DE-AC05-00OR22725, with the U.S. Department of Energy. The U.S. Government retains and the publisher, by accepting the article for publication, acknowledges that the U.S. Government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for U.S. Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the Department of Energy Public Access Plan.

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