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The Award database is continually updated throughout the year. As a result, data for FY22 is not expected to be complete until September, 2023.

Download all SBIR.gov award data either with award abstracts (290MB) or without award abstracts (65MB). A data dictionary and additional information is located on the Data Resource Page. Files are refreshed monthly.

  1. Electrical Energy Storage System by SMES Method for Ultra-High Power and Energy Density

    SBC: Tai-Yang Research Company            Topic: AF11BT31

    ABSTRACT: The Tai-Yang Research Company (TYRC) of Tallahassee, FL in collaboration with Dr. Justin Schwartz of the North Carolina State University (NCSU) in Raleigh, NC propose in this Phase 2 effort to develop the critical technologies necessary for the implementation and operation of an airborne high temperature superconductor (HTS) superconducting magnetic energy storage (SMES) device with par ...

    STTR Phase II 2014 Department of DefenseAir Force
  2. Reverberation Mitigation of Speech

    SBC: Minerva Systems & Technologies, LLC            Topic: AF15AT17

    Automatic speech recognition (ASR) technology is in wide use today and has been successfully integrated into a number of applications. Although there are also many potential applications for automatic speaker identification (SID), SID accuracy rates are generally not sufficient for widespread use in practical applications. For high accuracy ASR and SID, the microphone must be located near the talk ...

    STTR Phase II 2016 Department of DefenseAir Force
  3. Satellite Drag Physical Model Module for a Near Real Time Operation Test Bed

    SBC: ATMOSPHERIC & SPACE TECHNOLOGY RESEARCH ASSOCIATES LLC            Topic: AF11BT29

    ABSTRACT: The Air Force seeks to improve the accuracy of orbit specification and of 72-h orbit predictions beyond present capabilities. Thermospheric neutral density and satellite ballistic coefficient strongly impact satellite drag estimation, which is a leading source of error in orbit predictions in LEO. The goal of this Phase II project is to develop a satellite drag specification capability ...

    STTR Phase II 2014 Department of DefenseAir Force
  4. Physical Sub-Model Development for Turbulence Combustion Closure

    SBC: COMBUSTION SCIENCE & ENGINEERING, INC.            Topic: AF13AT12

    ABSTRACT: The U. S. Air Force needs turbulent combustion models that can be used to simulate combustion in actual propulsion systems at both design and off-design conditions, not models that are only useful for highly idealized problems. With this motivation in mind, Combustion Science & Engineering, Inc. and the Computational Combustion Lab at Georgia Tech plan to enhance current capabilities to ...

    STTR Phase II 2015 Department of DefenseAir Force
  5. Plasma Generator for Controlled Enhancement of the Ionosphere

    SBC: Enig Associates, Inc.            Topic: AF15AT22

    Enig Associates, Inc., a small business providing advanced modeling and simulation capabilities to the DoD and DoE, is proposing an innovative and novel electrical approach, using explosive-driven flux compression generators to Joule heat light metal load in sub millisecond time scale from a solid metal state to a first ionization plasma state going through multi-phase transitions to generate an a ...

    STTR Phase II 2016 Department of DefenseAir Force
  6. Evaluation of SANDGT Using SOA Framework for Persistent and Risk-Averse Space Situation Awareness

    SBC: INTELLIGENT FUSION TECHNOLOGY, INC.            Topic: AF12BT09

    ABSTRACT: Space superiority needs protected tactical space communications with dynamic spectrum sharing, routing adaptation and interference mitigations against kinetic and non kinetic threats. The main focus of this project is to develop game-theoretic analytics and frameworks to support the Air Forces autonomy science & technology strategy (e.g., "deterrence" posture which in turn may be enabled ...

    STTR Phase II 2015 Department of DefenseAir Force
  7. A General-Purpose Software Tool for Multi-disciplinary Simulation Data Management and Learning

    SBC: CFD RESEARCH CORP            Topic: AF11BT27

    ABSTRACT: The overall goal of the proposed effort is to develop and demonstrate a general-purpose, fast, and reliable management and learning software tool for analyzing massive data sets generated by dynamic multi-disciplinary simulation. In Phase I, key technology elements were developed and proof-of-principle was successfully demonstrated. Data management software encapsulating salient feature ...

    STTR Phase II 2014 Department of DefenseAir Force
  8. Computational Model for Electrode Erosion by High-Pressure Moving Arcs

    SBC: CFD RESEARCH CORP            Topic: AF11BT25

    ABSTRACT: The goal of this project is to develop theoretical models for electrode erosion in high-pressure arcs and incorporate them into computational tools for simulations of arc heaters. The complexity of the electrode material removal process is associated with the multi-phase nature of the arc-electrode interactions, melting and vaporization of the electrodes near the arc foot. Available mod ...

    STTR Phase II 2014 Department of DefenseAir Force
  9. First-principles-based framework for discovery and design of sustainable non-rare-earth high-temperature alloy systems

    SBC: CFD RESEARCH CORP            Topic: OSD12T06

    The aim of this STTR program is to develop protocols to discover rare-earth-free/rare-earth-lean magnetic alloys for replacing rare earth (RE) -based alloys for reducing the dependence of supply from China. The development of non-RE high temperature magnetic materials is very challenging. In Phase I, CFDRC in collaboration with its university partner has demonstrated a proof-of-concept computation ...

    STTR Phase II 2014 Department of DefenseOffice of the Secretary of Defense
  10. EX-SCAN: Autonomous Inspection System for Aircraft Surface Coatings

    SBC: Intelligent Automation, Inc.            Topic: AF14AT09

    Current methods for inspecting the external surfaces of low-observable (LO) aircraft are time consuming and error prone. Technology that can reduce inspection times and minimize human error will benefit the Air Force by increasing assessment reliability and aircraft availability while reducing maintenance costs. To address this need, Intelligent Automation (IAI) and Carnegie Mellon University (CMU ...

    STTR Phase II 2016 Department of DefenseAir Force
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