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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. 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
  2. Characterizing the Impact of Control Surfaces Free-Play on Flutter

    SBC: Materials Technologies Corporation            Topic: N10AT003

    Free-play nonlinearity of the control surfaces has a direct impact on aircraft’s dynamic stability characteristics. . It is impossible to design and manufacture a control surface with zero free-play. As control surface free-play increases, tighter limits must be imposed on the aircraft mission capability. Typically, researchers have utilized an oversimplified piecewise-linear torque-rotation rel ...

    STTR Phase I 2010 Department of DefenseNavy
  3. Characterization of Diffusive Noise Fields Using Ambient Noise Interferometry, Spatial Gradients and Acoustic Bright Spots

    SBC: Rocky Mountain Geophysics, Llc            Topic: N10AT004

    We propose to conduct a feasibility study for utilizing broadband sampling of the diffusive noise field in a dynamic environment. In ambient noise studies, the ability to resolve a wavefield is proportional to its time-bandwidth (TB) product. In a dynamic environment such as in the atmosphere or ocean, the nature of the impinging wave field is changing rapidly so that only short time segments can ...

    STTR Phase I 2010 Department of DefenseNavy
  4. 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
  5. 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
  6. Analysis and Modeling of Foreign Object Damage (FOD) in Ceramic Matrix Composites (CMCs)

    SBC: ALPHASTAR TECHNOLOGY SOLUTIONS LLC            Topic: N10AT010

    A significant barrier to the insertion of ceramic matrix composite (CMC) materials into advanced aircraft engines is their inherent lack of toughness under foreign object Damage (FOD) as well as post FOD. Our team will develop and demonstrate a physics-based model for FOD/post FOD in CMC’s. The model will incorporate physical mechanisms associated with impact for two different CMC systems: a) ma ...

    STTR Phase I 2010 Department of DefenseNavy
  7. Dynamic Physical/Data-Driven Models for System-Level Prognostics and Health Management

    SBC: QUALTECH SYSTEMS INC            Topic: N10AT009

    The proposed effort leverages the capabilities of data-driven and physics of failure (PoF) based prognostic techniques for electronic systems by combining them within a hybrid approach. Data-driven and PoF-based techniques both have shortcomings; combining them into a hybrid framework allows using their capabilities in a complementary fashion, and thereby providing a reliable way of prognostics an ...

    STTR Phase I 2010 Department of DefenseNavy
  8. 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
  9. Novel Approaches to Service Virtualization in Mobile Ad Hoc Networks

    SBC: SUNS-Tech Corp.            Topic: N10AT006

    A clean-slate approach is needed for the design and implementation of wireless networks that self organize and can scale with the number of users, devices, and information objects and services that network users wish to share. This project will develop a new architecture and protocols for wireless networks in which naming, addressing, routing, and channel access are redefined to take into account: ...

    STTR Phase I 2010 Department of DefenseNavy
  10. Mitigation of USV Motions via Wave Sensing and Prediction

    SBC: Advanced Scientific Concepts, LLC            Topic: N10AT036

    Advanced Scientific Concepts, Inc. (ASC) has teamed with the Department of Ocean Engineering at The University of Rhode Island to devise a sensor suite and computer algorithm to predict ocean waves to aid autonomous boat navigation in heavy weather. The centerpiece of the sensor suite is a Lidar designed by ASC that is adapted to image the ocean at glancing angles. It’s ability to acquire a 3D s ...

    STTR Phase I 2010 Department of DefenseNavy
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