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Award Data

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The Award database is continually updated throughout the year. As a result, data for FY20 is not expected to be complete until September, 2021.

Download all 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. Lightweight Rapid Alloy Development and Fabrication using ICME based Optimization

    SBC: MRL MATERIALS RESOURCES LLC            Topic: N20BT026

    Magnesium alloys offer an attractive combination of good mechanical properties with very low density, making these materials strong candidates for structural applications such as gearboxes for rotary wing aircraft, as well as finding strong interest in the automotive industry for engine and transmission components.  Repair of such structures by additive manufacturing, as well as manufacturing of ...

    STTR Phase I 2021 Department of DefenseNavy
  2. Discrete 3-D Electronics for Mobile Radiation Detection Systems

    SBC: Radiation Detection Technologies, Inc.            Topic: DTRA18B002

    Phase II will utilize knowledge gained from phase I work to develop and execute a manufacturing process suitable for producing quantities of 3-D printed discrete circuits for radiation detection systems.  The goal is to support mobile radiation detection system requirements for high voltage, analog amplification, and MCA functionality to produce differential pulse height spectra in time sequence. ...

    STTR Phase II 2020 Department of DefenseDefense Threat Reduction Agency
  3. Fatigue Prediction for Additive Manufactured (AM) Metallic Components

    SBC: Product Innovation And Engineering, LLC            Topic: N19BT026

    In this Phase I work, we will expose the effects of an additively-manufactured (AM) part’s inherent defects (including both volumetric and surface defects) and residual stress on its subsequent fatigue strength based on carefully-executed manufacturing, microstructure characterization, numerical simulations, and mechanical experiments. Results from this study will leverage consolidated design an ...

    STTR Phase I 2020 Department of DefenseNavy
  4. ICME-based fatigue life prediction for additive manufactured metallic components

    SBC: MRL MATERIALS RESOURCES LLC            Topic: N19BT026

    Despite the tremendous benefits of additive manufacturing (AM) to our warfighters, uncertainty in fatigue life predictions have been a major roadblock for certifying metallic AM parts to fly. We are proposing a hybrid modeling/inspection approach to estimate fatigue life of AMed parts using damage tolerance analysis combined with inspections. The new developed tool is expected to provide certifica ...

    STTR Phase I 2020 Department of DefenseNavy
  5. Additive Manufacturing of Inorganic Transparent Materials for Advanced Optics

    SBC: Product Innovation And Engineering, LLC            Topic: N19BT028

    The goal of the Phase I project is to demonstrate the feasibility of an AM process capable of depositing the required optical properties, full densification, and smooth surface finish through modeling the glass AM processing, developing the path planning for printing freeform optics, and evaluating the quality of the printed freeform optics with the proposed FFL . The specific objectives of the pr ...

    STTR Phase I 2020 Department of DefenseNavy
  6. Rapid ICME-based Multiphysics Modeling of Surface Roughness in LPBF Ti6Al4V

    SBC: MRL MATERIALS RESOURCES LLC            Topic: N19BT034

    The uncertainty in predicting surface roughness and subsurface defects in as-built additively manufactured (AM) parts is hindering the wide utilization of AM for mission critical components that exhibit fatigue loading conditions due to the propagated uncertainly in crack initiation and propagation from surface defects. Thus, this work is focused on developing a new multiphysics toolset for predic ...

    STTR Phase I 2020 Department of DefenseNavy
  7. Smart ICME for Enhanced Fatigue Life in Metal Additive Manufacturing

    SBC: MRL MATERIALS RESOURCES LLC            Topic: N20AT002

    Fatigue life of parts produced by metal additive manufacturing is determined by the complex interaction of defects, surface properties, and material microstructure.  Each of these constituents is affected by the choice of processing parameters, as well as the feedstock, machine performance, etc.  In addition, stochastic events often contribute significantly to the fatigue life of individual samp ...

    STTR Phase I 2020 Department of DefenseNavy
  8. Environmental Vibration Mitigation for Additive Manufacturing Equipment

    SBC: Etegent Technologies, Ltd.            Topic: N20AT010

    Additive manufacturing (AM) is a rapidly evolving technology that is being used in a growing number of new and different applications. As applications become more diverse, so will the environments within which AM equipment is relied upon to operate effectively and produce high quality parts. One specific challenge is maintaining part quality when AM equipment is required to operate in environments ...

    STTR Phase I 2020 Department of DefenseNavy
  9. Electromagnetic Interference Resilient, Low Noise Figure, Wide Dynamic Range of Radio Frequency to Photonic Link

    SBC: Srico Inc            Topic: N20AT012

    SRICO proposes to develop a compact, high-performance, electromagnetic interference (EMI) and high-power microwave (HPM) resilient radio frequency photonic link for compact antenna remoting in US Navy submarine electronic warfare applications. EMI and HPM resilience are achieved by optically isolating the pick-up radio frequency (RF) antenna and optical transmitter from the photoreceiver. The opti ...

    STTR Phase I 2020 Department of DefenseNavy
  10. TWIFFA

    SBC: KAIROS Research LLC            Topic: N20AT017

    The Kairos Research Team, together with our partners at the University of Arkansas at Little Rock (UALR), proposes to develop an intuitive web-based Twitter Follower / Friend Assessment (TWIFFA) tool and associated app that can identify bots and bot-assisted accounts within a user’s network of followers and friends. TWIFFA will enable a user to input their Twitter credentials, scan followers and ...

    STTR Phase I 2020 Department of DefenseNavy
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