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The Award database is continually updated throughout the year. As a result, data for FY21 is not expected to be complete until September, 2022.

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. Analysis of Dislocation Density, Recrystallization, and Residual Stress in 5XXX Aluminum using Laser Peening to mitigate Exfoliation Corrosion

    SBC: HEPBURN AND SONS LLC            Topic: N18AT016

    Hepburn and Sons LLC teaming with The Ohio State University, Center for Electron Microscopy and Analysis (CEMAS) propose to research and develop an innovative application of laser peening technology to mitigate exfoliation corrosion, a special type of inter-granular corrosion that occurs on the elongated grain boundaries. Strongly related, these Mg based alloys, when exposed to tensile stresses, c ...

    STTR Phase I 2018 Department of DefenseNavy
  2. Laser Surface Melt Treatment and Galvanic Protection of 5XXX

    SBC: Luna Innovations Incorporated            Topic: N18AT016

    Exfoliation corrosion of 5XXX series aluminum alloy is an issue related to the sensitization of the aluminum substrate typically occurring at end-grains. The Navy is interested in preventing this corrosion to decrease lifetime costs on Littoral Combat Ships, Ship-to-Shore Connector vessels, and Ticonderoga class ships. Luna will investigate surface modification using laser surface melt processing ...

    STTR Phase I 2018 Department of DefenseNavy
  3. Algorithms for Look-down Infrared Target Exploitation

    SBC: Signature Research, Inc.            Topic: 1

    Signature Research, Inc. (SGR) and Michigan Technological University (MTU) propose a Phase I STTR effort to develop a learning algorithm which exploits the spatio-spectral characteristics inherent within IR imagery and motion imagery.Our archive of modelled and labeled data sets will allow our team to thoroughly capture the variable elements that will drive machine learning performance.The overall ...

    STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  4. Hybrid DNN-based Transfer Learning and CNN-based Supervised Learning for Object Recognition in Multi-modal Infrared Imagery

    SBC: TOYON RESEARCH CORPORATION            Topic: 1

    On this effort Toyon Research Corp. and The Pennsylvania State University are developing deep learning-based algorithms for object recognition and new class discovery in look-down infrared (IR) imagery. Our approach involves the development of a hybrid classifier that exploits both transfer learning and semi-supervised paradigms in order to maintain good generalization accuracy, especially when li ...

    STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  5. Optimization of Fatigue Test Signal Compression Using the Wavelet Transform

    SBC: ATA Engineering, Inc.            Topic: N18BT029

    Traditional approaches to accelerated fatigue testing rely on heuristic methods with thresholds based mostly on experience and engineering judgment. These methods generally do not apply to the multiaxial dynamic loading situations characteristic of most aerospace applications and often result in uncharacteristic fatigue damage and failure modes during testing. To overcome the limitations of tradit ...

    STTR Phase I 2018 Department of DefenseNavy
  6. Systematic Fatigue Test Spectrum Editing Using Wavelet Transformations

    SBC: TECHNICAL DATA ANALYSIS, INC.            Topic: N18BT029

    TDA focuses on developing a state of the art time-frequency-based fatigue spectrum editing (TF-based FSE) framework to reduce the time of fatigue computational analysis and tests. The proposed framework will address (a) through understanding of fatigue loading histories including stationary, nonstationary, linear, and non-linear spectrums, (b) developing a multi-approach TF framework for both unia ...

    STTR Phase I 2018 Department of DefenseNavy
  7. In Situ Marine-Grade Aluminum Alloy Characterization for Sensitization Resistance and Stress Corrosion Cracking Prediction

    SBC: TECHNICAL DATA ANALYSIS, INC.            Topic: N18AT010

    The goal of this proposal is to develop a compact sensor package and monitoring protocol for detecting the degree of sensitization in 5xxx series alloys that accounts for lot-to-lot variability. 5xxx series aluminum alloys have been utilized in marine applications to reduce weight and lower the center of gravity of ships for many decades. While effective, they can become susceptible to intergranul ...

    STTR Phase I 2018 Department of DefenseNavy
  8. Multi-Modal Sensing of Sensitization and Stress Corrosion Cracking Susceptibility in AA5xxx Alloys

    SBC: Luna Innovations Incorporated            Topic: N18AT010

    In order to travel faster, travel longer, and carry larger payloads, new Navy ships are being designed with light weight alloys and composite materials. High magnesium AA5xxx series alloys provide a high strength to weight ratio and excellent corrosion resistance, but suffer from sensitization as anodic ß precipitates (Al¬3Mg2) are form along grain boundaries due to a combination of elevated tem ...

    STTR Phase I 2018 Department of DefenseNavy
  9. Adaptive Optics for Nonlinear Atmospheric Propagation of Laser Pulses

    SBC: Advanced Systems & Technologies Inc            Topic: N17AT024

    Filamentation of ultra-short laser pulse propagation in non-linear media offers significant potentials allowing to address numerous problems in military and commercial sectors. However, practical implementation of this requires an ability to control the USLP at its propagation through inhomogeneous media, like turbulent atmosphere. On the basis of our approach for combating turbulence effects on p ...

    STTR Phase II 2018 Department of DefenseNavy
  10. Mentoring and Responsive Learning through Intelligent Nautical Skill-modeling, Prompting, Intervention, and Feedback during Instructor-Controlled Exer

    SBC: Charles River Analytics, Inc.            Topic: N18AT014

    The safety and operational success of the U.S. Navy (USN) depends on expert navigation, seamanship, and shiphandling skills. Tragically, the Navy experienced four major incidents in 2017. The resulting USN Comprehensive Review identified lapses in basic seamanship and safe navigation skills as contributing factors, reinforcing the critical need for rigorous shiphandling training and proficiency as ...

    STTR Phase I 2018 Department of DefenseNavy
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