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CASCADE TECHNOLOGIES, INC. STTR Phase II Award, February 2021

A STTR Phase II contract was awarded to CASCADE TECHNOLOGIES, INC. in February, 2021 for $1,049,928.0 USD from the U.S. Department of Defense and United States Navy.

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sbir.gov/node/2178995
Is a
SBIR/STTR Awards
SBIR/STTR Awards

SBIR/STTR Award attributes

SBIR/STTR Award Recipient
CASCADE TECHNOLOGIES, INC.
CASCADE TECHNOLOGIES, INC.
0
Government Agency
U.S. Department of Defense
U.S. Department of Defense
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Government Branch
United States Navy
United States Navy
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Award Type
STTR0
Contract Number (US Government)
N68335-21-C-02700
Award Phase
Phase II0
Award Amount (USD)
1,049,9280
Date Awarded
February 11, 2021
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End Date
February 16, 2023
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Abstract

The objectives of the proposed work are twofold. The first goal is to develop and validate GPU-based static and moving versions of Cascade's large eddy simulation (LES) software CharLES that would fully leverage existing (and future) GPU-accelerated systems accessible by NAVAIR and other DoD agencies. These software developments will be performed by Cascade. For the current project, the targeted capabilities are high-speed flows with shocks and wall modeling on both static and moving solvers. The application of interest is open rotors and realistic rotorcraft configurations. These choices were made to address key applications of interest to NAVAIR.  The second goal is to develop modeling capabilities in the GPU-based solvers targeted towards efficient predictions of aerodynamics in realistic open rotors. In particular, the focus will be on actuator disk modeling to speed up simulation (when possible) and wall model closure with rotational effects to better capture the flow physics near rotor blades. The models development and validation for canonical flows and open rotor configurations will be done in collaboration with the Massachusetts Institute of Technology (MIT), the proposed Academic Subcontractors for this STTR project. In addition of the software and model developments, large eddy simulations will be conducted by Cascade and MIT for a range of cases to validate the solvers and models implementation, and assess the scalability and computational performance of the GPU-accelerated compressible flow solvers.

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