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Technology In Blacksburg Inc

Company Information
Address
265 Industrial Dr
Christiansburg, VA 24073-2538
United States


http://Techsburg.com

Information

UEI: CLLECDWG5CK6

# of Employees: 16


Ownership Information

HUBZone Owned: No

Socially and Economically Disadvantaged: No

Woman Owned: No



Award Charts




Award Listing

  1. Comprehensive Low-Order Aircraft Propulsion Noise Modeling Tool

    Amount: $49,774.00

    New technology efforts within the Air Force such as Agility Prime and the High Speed VTOL program present new design, analysis, and testing challenges. Following development of two low-order analytica ...

    SBIRPhase I2022Department of Defense Air Force
  2. Design Cycle Prediction Software for Wing-Strut Junction Flow Noise

    Amount: $749,884.00

    NASArsquo;s Advanced Air Transport Technology Project has worked with industry over the last decade to develop airframe/propulsion concepts and associated technologies to enable transformative air tra ...

    SBIRPhase II2022National Aeronautics and Space Administration
  3. Design Cycle Modeling Tool for Wing-Strut Junction Flow Noise

    Amount: $124,940.00

    NASArsquo;s Advanced Air Transport Technology Project has worked with industry over the last decade to develop airframe/propulsion concepts and associated technologies to enable transformative air tra ...

    SBIRPhase I2021National Aeronautics and Space Administration
  4. Maturation of a Scalable Low-Noise Propeller Family for eVTOL Applications

    Amount: $149,975.00

    The team of Techsburg (prime), AVEC (subcontractor), and Virginia Tech (research institute) will team to develop and mature a low-noise propeller design that is suitable for near-term commercial use a ...

    STTRPhase I2021Department of Defense Air Force
  5. The ScreenVane Family of Inlet Distortion Generators for Ground Based Testing of Fans, Compressors and Engines

    Amount: $749,889.00

    Due to requirements to minimize radar cross-sections, most modern turbine engines of military aircraft are coupled with offset diffusers that create significant fan face distortion. Conceptual blended ...

    STTRPhase II2021Department of Defense Air Force
  6. ScreenVanes for High-Fidelity, Ground-Based Testing of Fans, Compressors and Engines with Distorted Inflow

    Amount: $49,653.00

    For the past nine years, Virginia Tech has developed StreamVane™ technologies that accurately reproduce the swirl distribution of the distorted flows created by compact, offset diffusers, enabling r ...

    STTRPhase I2021Department of Defense Air Force
  7. Reduced-Order Acoustic Prediction Tool for Ducted Fan Noise Sources Including Inflow Distortion and Turbulence Ingestion

    Amount: $749,811.00

    In response to NASA SBIR topic A1.02, the team of Techsburg, AVEC, and aircraft developer Ampaire have begun implementation of a reduced-order acoustic prediction tool for ducted fan noise sources inc ...

    SBIRPhase II2019National Aeronautics and Space Administration
  8. Effects of BLI and Inflow Distortion on Noise Generation and Performance of Fan-Rotor

    Amount: $122,242.00

    In response to NASA SBIR topic A1.02 Quiet Performance – Propulsion Noise Reduction Technology, the team of Techsburg, AVEC, and Ampaire proposes implementation and design application of a low-order ...

    SBIRPhase I2018National Aeronautics and Space Administration
  9. Development and Demonstration of Reduced-Order Prediction Methods for Propeller Inflow Distortion Noise

    Amount: $998,370.06

    A prototype code to facilitate reduced-order modeling of propeller inflow distortion noise was completed and successfully validated during our 6-month Phase I project. The “Installed Propeller Noise ...

    SBIRPhase II2017Department of Defense Army
  10. Generalized Reduced-Order Model for Propeller Inflow Distortion Noise

    Amount: $149,509.55

    To provide a reduced-order computational tool for prediction of propeller-airframe interaction noise, the team of Techsburg and AVEC proposes to enhance and unify existing methods and tools for predic ...

    SBIRPhase I2016Department of Defense Army
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