GPU Accelerated Large Eddy Simulation for Low Pressure Turbine Design
ID: AF233-D027Type: BOTH
Overview

Topic

GPU Accelerated Large Eddy Simulation for Low Pressure Turbine Design

Agency

Department of DefenseN/A

Program

Type: SBIRPhase: BOTHYear: 2023

Topic Link

https://www.sbir.gov/node/2448021

Additional Information

https://www.defensesbirsttr.mil/
Timeline
  1. 1
    Release Aug 23, 2023 12:00 AM
  2. 2
    Open Sep 20, 2023 12:00 AM
  3. 3
    Next Submission Due Oct 18, 2023 12:00 AM
  4. 4
    Close Oct 18, 2023 12:00 AM
Description

The Department of Defense (DoD) is seeking proposals for a Small Business Innovation Research (SBIR) program focused on the topic of "GPU Accelerated Large Eddy Simulation for Low Pressure Turbine Design". This topic falls under the Air Force branch and is aimed at increasing the fidelity of turbine aerodynamic predictions during the design cycle. The objective is to adopt Large Eddy Simulation (LES) techniques enabled by Graphical Processing Unit (GPU) architectures to achieve faster turnaround times for calculations. LES is crucial for accurate flow predictions over Low Pressure Turbine (LPT) airfoils, particularly for high-altitude Unmanned Air Systems (UAS). Successful application of LES in LPT design is expected to result in improved lift, work, and resistance to flow separation, leading to reduced engine weight, length, and cost, as well as increased fuel efficiency, range, endurance, and ceiling for UAS. Currently, LES is primarily a research tool and not used in the turbine design cycle due to long calculation times. However, the application of GPU architectures to flow solvers holds promise in reducing turnaround times for design iterations. The project will involve applying GPU architectures to flow solvers and demonstrating their efficacy for design purposes. The Phase I of the project is a Direct-to-Phase-II (D2P2) topic, meaning no Phase I awards will be made. Phase II will focus on code development and validation studies, while Phase III will involve commercializing and transitioning the GPU-enabled LES code to OEMs and government agencies. The project duration and funding specifics can be found on the solicitation agency's website.

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