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The Award database is continually updated throughout the year. As a result, data for FY24 is not expected to be complete until March, 2025.

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.

The SBIR.gov award data files now contain the required fields to calculate award timeliness for individual awards or for an agency or branch. Additional information on calculating award timeliness is available on the Data Resource Page.

  1. Demonstration of a JP-8 Powered Compact ECU

    SBC: MAINSTREAM ENGINEERING CORP            Topic: OSD09T002

    Military shelters currently use electrically driven Environmental Control Units (ECUs) to provide cooling for the air inside the shelter. The ECU is vapor compression cycle powered by a diesel generator, operating on JP-8 fuel. Other than fueling jet engines, the largest drain on U.S. military fuel supplies in current operations comes from running generators at forward operating bases. In hot cli ...

    STTR Phase I 2010 Department of DefenseNavy
  2. Innovative Application of Urban ISR (Intelligence, Surveillance, Reconnaissance) Imagery for High Fidelity Training Devices

    SBC: AECHELON TECHNOLOGY            Topic: N09BT038

    Military operations in urban areas have increasingly become a key capability for our armed forces. The increased risk of use of the unique nature of large urban environments by hostile forces to their tactical advantage, and related civilian casualties, requires updated procedures, comprehensive training, and constantly evolving capabilities. Current training technologies fail to address the signi ...

    STTR Phase I 2010 Department of DefenseNavy
  3. Innovative Application of Urban ISR (Intelligence, Surveillance, Reconnaissance) Imagery for High Fidelity Training Devices

    SBC: TOYON RESEARCH CORPORATION            Topic: N09BT038

    Toyon Research Corporation and Brown University propose to develop a complete real-time software solution which ingests multi-sensor ISR imagery and produces geo-specific, realistic simulated imagery for flight simulators and training devices. The technical innovations enabling this solution include fully automated 3-d model construction from sequences of ISR video frames, and geo-registration of ...

    STTR Phase I 2010 Department of DefenseNavy
  4. Low-Cost Ball/Air/Magnetic Hybrid Bearing System for Extended-Life Micro Gas Turbine Engines

    SBC: Nastec, Inc.            Topic: N10AT037

    A unique type of air lubricated thrust bearing called a Wave Bearing is proposed to assist a rolling element bearing to carry the thrust load and to improve the bearing’s life when used in a micro gas turbine engine. The Wave Bearing technology will provide improved reliability, safety and life compared to rolling element bearings used alone, as well as to allow simplification of engine design a ...

    STTR Phase I 2010 Department of DefenseNavy
  5. Development of Surface Reaction Mechanism for C-SiC-SiO2-Rubber Composite Oxidation in Extreme Oxidizing Condition

    SBC: CFD RESEARCH CORPORATION            Topic: N10AT005

    The purpose of this STTR is to develop comprehensive detailed kinetics for oxidation of C-SiC-SiO2-rubber in extreme oxidizing environment. This material is used as a coating on the outer surface of Navy weapon systems. In order to predict the fate of this material under extreme conditions and mitigate the degradation of the coating, a comprehensive oxidation mechanism is required. In Phase I, CFD ...

    STTR Phase I 2010 Department of DefenseNavy
  6. Adaptive Learning for Stall Pre-cursor Identification and General Impending Failure Prediction

    SBC: Frontier Technology Inc.            Topic: N10AT008

    Frontier Technology, Inc. (FTI) and Northeastern University propose to investigate and develop an innovative approach to predict stall events of aircraft engines prior to occurrence and in sufficient time to allow the FADEC controller to adjust engine variables. The team will utilize vector quantization and neural network techniques to develop accurate models of engine behavior that will be used t ...

    STTR Phase I 2010 Department of DefenseNavy
  7. Analysis and Modeling of Foreign Object Damage (FOD) in Ceramic Matrix Composites (CMCs)

    SBC: N&R ENGNERING MGT SUPPORT SVCS            Topic: N10AT010

    The Phase I deliverable will be a physic-based model which represents a CMC gas turbine component concomitantly at the material level and the structural level. This model will be probabilistically analyzed to account for the uncertainties in material properties and the uncertainties in the size and impact velocities of possible foreign objects (FOD). A ceramic material must display sufficient capa ...

    STTR Phase I 2010 Department of DefenseNavy
  8. Development of a Computational Method for Prediction of After-Burning Effect

    SBC: BUSA Engineering Consulting            Topic: N10AT002

    This proposal is being submitted in response to the solicitation topic N10A-T002 (Development of a Computational Method for Prediction of After Burning Effect) by BUSA Engineering Consulting (Dr. Jianghui Chao) in collaboration with University of Florida (PI: Prof. S. Balachandar). The overall objective of the proposed effort is to contribute to national defense and security by advancing the state ...

    STTR Phase I 2010 Department of DefenseNavy
  9. Advanced Materials for the Design of Lightweight JP5/JP8/DS2 Fueled Engines for Unmanned Aerial Vehicles (UAVs)

    SBC: Northwest Uld, Inc.            Topic: N10AT001

    Northwest UAV Propulsion Systems proposes using our purpose built heavy fuel engine designed and built in the USA for small unmanned aerial systems in the tier 2 & 3 class. We will be adding a lightweight ceramic material set combined with FEA (Finite Element Analysis) and heavy fuel atomizer (IRAD Project) to create a lightweight engine for a SUAS or STUAS class UAVs. The Ceramic material set is ...

    STTR Phase I 2010 Department of DefenseNavy
  10. Advanced Data Processing, Storage and Visualization Algorithms for Structural Health Monitoring Sensor Networks of Naval Assets

    SBC: ACELLENT TECHNOLOGIES INC            Topic: N10AT042

    Acellent Technologies Inc. and Prof. F. G. Yuan at North Carolina State University (NCSU) are proposing to develop a Hybrid Distributed Sensor Network Integrated with Self-learning Symbiotic Diagnostic Algorithms and Models to determine materials state awareness and its evolution, including identification of precursors, detection of microdamages and flaws near high stress area or in a distributed ...

    STTR Phase I 2010 Department of DefenseNavy
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