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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. Coupled Multi-physics Analysis and Design Optimization of nozzles (COMANDO)

    SBC: Intelligent Automation, Inc.            Topic: N14AT005

    The US Navy faces daunting energy challenges that will further increase in severity, given the ever-increasing global demand for energy, diminishing energy supplies and demand for enhanced environmental stewardship. Additionally, noise is an important issue for the Navy due to the adverse effect it has on personnel and communities around naval air bases and training sites. Military combat aircraft ...

    STTR Phase II 2015 Department of DefenseNavy
  2. High Fidelity Rotorcraft Towing Modeling and Simulation with Towed Magnetic Anomaly Detection System

    SBC: ADVANCED ROTORCRAFT TECHNOLOGY, INC.            Topic: N15AT009

    Towing of a Magnetic Anomaly Detection (MAD) system is an important aspect of rotorcraftmaritime operation. The oscillatory rotorcraft combined with the long and flexible towingcable, the low mass ratio of the towed body to the towing aircraft, and the rotor wake effecton the towed body presents a challenge for integration of a modern MAD system withrotorcraft platform. The research objective is t ...

    STTR Phase II 2016 Department of DefenseNavy
  3. Rapid Identification of Effects of Defects within Metal Additive Manufacturing (RIED-AM)

    SBC: Intelligent Automation, Inc.            Topic: N18AT013

    Additive manufacturing (AM) bring revolutionary capabilities and is very attractive to various commercial and military applications. However, metal AM often results in components with various defects, which may have decisive impact on their mechanical properties. To address this critical concern of AM quality, in this research, Intelligent Automation, Inc (IAI) will develop and implement a materia ...

    STTR Phase II 2020 Department of DefenseNavy
  4. LCS Radar Modeling for Training (LRMT)

    SBC: Intelligent Automation, Inc.            Topic: N14AT012

    We propose the design and development of LCS radar modeling for training a radar modeling engine that capture the effects of environment, weather, jamming/interference and operator actions on radar display. The purpose of this engine is to reduce or eliminate the need for live training by faithfully capturing the scenarios encountered by a radar operator. The primary target radars for the propose ...

    STTR Phase II 2016 Department of DefenseNavy
  5. Optimization of Fatigue Test Signal Compression Using The Wavelet Transform

    SBC: ATA ENGINEERING, INC.            Topic: N18BT029

    ATA Engineering has developed a wavelet-based damage squeezing methodology for generating optimally compressed fatigue test signals that produce an equivalent amount of fatigue damage in a predictably reduced amount of time compared to the baseline (uncompressed) signals. Fatigue-critical signal characteristics (e.g., magnitude, phase, frequency, and sequencing relationships) are identified in the ...

    STTR Phase II 2020 Department of DefenseNavy
  6. A Unified System-of-Systems Design and Analysis Toolset for Aircraft Thermal Management Systems

    SBC: PC KRAUSE & ASSOCIATES INC            Topic: N19BT025

    Modern and next generation military aircraft face increasing challenges as thermal demands grow while available heat sinks reduce. Legacy platforms upgraded with advanced electrical systems are also encountering similar thermal constraints. Modeling and simulation (M&S) tools provide a cost-effective solution to the design, analysis, and optimization of growing thermal management challenges, but t ...

    STTR Phase II 2021 Department of DefenseNavy
  7. Vector Magnetometer based on Dispersive Cavity Readout of Nitrogen Vacancies in Diamond

    SBC: VESCENT PHOTONICS LLC            Topic: N19AT006

    Vescent Photonics, LLC, (Vescent) and the Massachusetts Institute of Technology Lincoln Laboratory (MIT-LL) propose to develop a low-noise, field-deployable vector magnetometer based on the dispersive cavity readout (DCR) of nitrogen vacancy (NV) diamond.  Solid-state quantum systems based on NV-diamond centers have many intrinsic properties that make them well-suited as stable, sensitive platfor ...

    STTR Phase II 2021 Department of DefenseNavy
  8. Conjugate heat transfer for LES of gas turbine engines

    SBC: CASCADE TECHNOLOGIES INC            Topic: N19BT027

    Current design tools for gas turbine engines invoke a variety of simplifying assumptions to estimate heat transfer to solid/metal engine components (e.g., isothermal boundary conditions). These approximations are often not valid, result in inaccurate predictions of heat transfer, and ultimately compromise the thermal integrity of propulsion and power systems. Wall-modeled large eddy simulation (WM ...

    STTR Phase II 2020 Department of DefenseNavy
  9. Analysis and Modeling of Erosion in Gas-Turbine Grade Ceramic Matrix Composites (CMCs)

    SBC: ALPHASTAR TECHNOLOGY SOLUTIONS LLC            Topic: N19BT033

    A significant barrier to the insertion of ceramic matrix composite (CMC) materials into advanced aircraft engines is their inherent degradation under erosion and post erosion. Our team will develop and demonstrate a physics-based model for erosion/post erosion of CMC’s at room and elevated temperatures (RT/ET). The ICME (Integrated Computational Material Engineering) Physics based Multi Scale Mo ...

    STTR Phase II 2021 Department of DefenseNavy
  10. Operational Sand and Particulate Sensor System for Aircraft Gas Turbine Engines

    SBC: HAL Technology, LLC            Topic: N18AT023

    Gas turbine engines with prolonged exposure to sand and dust are susceptible to component and performance degradation and ultimately engine failure. Our proposed sensor will use an innovative hybrid and complimentary discrimination approach to incorporate material identification along with capability of size, size distributions, and concentration while maintaining the same form factor of the curre ...

    STTR Phase II 2021 Department of DefenseNavy
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