Award Data

krtkl (“critical”) will conduct a Phase I Feasibility Study to identify the best approach for reducing aviator cognitive load by optimizing information delivery and decision-making based on a thorough analysis of existing platforms, sensors, data sources, and onboard compute resources. This information will be used to identify Artificial Intelligence and Machine Learning based algorithms for p ...

The harsh environment posed by hypersonic flight makes antenna design challenging due to extreme temperature exposure coupled with often competing mechanical/aero and RF performance requirements. FIRST RF proposes an advancement to its numerous conformal antenna technologies utilizing additive manufacturing of dielectric materials. This approach will decouple the competing RF and mechanical requir ...

There is a need for a lightweight, high-performance, insulation to protect the internal systems in hypersonic vehicles. A passive thermal protection system (TPS) design would be simple and reliable. As designs evolve, there is a need for TPS insulation materials that can be additively manufactured. Our Phase I approach will additively manufacture pre-ceramic scaffolds that are used to create low d ...

Estes Energetics and Battelle Memorial Institute will apply a fast, affordable manufacturing technology—proven to Technology Readiness Level (TRL) 4 and Manufacturing Readiness Level (MRL) 4—that manufactures a layer of carbon-carbon directly on composite structures without requiring use of an autoclave or densification process holds, resulting in reduced manufacturing time while improving com ...

The innovation proposed here is a novel carbon-carbon composite (CCC) manufacturing method based on polymer infusion and polymerization (PIP) using a novel precursor polymer with exceptionally high char yields. This results in a material that has the promise of excellent quality and mechanical properties, while offering the breakthrough advantages of (1) greatly reduced or eliminated need for back ...

This topic identifies the need creating a Modeling and Simulation (M&S) development and execution environment that significantly decreases the time to execute statistically significant batches of stochastic simulation runs for the purpose of estimating scenario output and outcome distributions while improving statistical knowledge of the outcome distributions. The strategy sought by this topic is ...

To advance simulation techniques, such as high-fidelity computational fluid dynamics (CFD), to accelerate maturation of DACS design through design-time trade studies, there is a need for new, test-validated models that improve both computational performance and the accuracy of the reacting jet in hypersonic crossflow simulations. ATA and CUBRC (a research institution with leading expertise in aero ...

We propose to develop Para-DEVS, an extension of the existing modeling and simulation (M&S) environment overcome two major hurdles that must be overcome to implement paratemporal simulation techniques for application to execution of large stochastic models. We propose to develop techniques to achieve scalability, the ability to overcome the combinatorial explosion of branching arising from multipl ...

Seed Innovations (Seed) and the University of Colorado at Denver (CU Denver) apply our combined experience in artificial intelligence, machine learning, model interpretation and human-machine teaming to research and develop a prototype Deep Reinforcement Learning (DRL) explainability platform. This prototype solution, named ‘Reveal’, seeks to empower decision-makers by providing them with mean ...

In the proposed effort, we will develop the fundamental building blocks to develop a high performance, low Size, Weight, and Power (SWaP) ultrashort pulse Femtosecond Direct Diode Laser System (fsDDLS) capable of generating and sustaining filaments/plasma channels in the atmosphere ahead of a vehicle in hypersonic flight to reduce drag, heating, and displace shock. Approved for Public Release | 22 ...