Award Data

NextGen Federal Systems (NextGen), a Small Business Concern (SBC), is excited to propose a powerful software package, coupled database, and a machine-learning (ML) workflow to support streamlined evaluation and research-to-operations (R2O) of space weather ML models and techniques. In response to the NOAA Effect of Space Weather subtopic (NOAA SBIR 9.5), we propose the Machine Intelligence for Spa ...

NextGen proposes the novel Spacecraft Anomaly Resolution Knowledgebase (SPARK) secure and centralized anomaly database and space environment anomaly analysis tool.nbsp;nbsp; SPARK extends the relevant Space Radiation Intelligence System (SPRINTS; Engell et al., 2017) framework to offer highly reactive user dashboards capable of visualizing 35+ years of space weather time-series and associated even ...

Touchstone produced carbon foam (CFOAM), graphite foam (GFOAM) composite core tool materials for evaluating heat transfer characteristics. In addition a high in-plane heat spreader was evaluated along with fiber reinforced bismaleimide (BMI) composite that is the tool surface.nbsp; The heat source were 300 and 600 W flexible heaters manufactured from glass reinforced silicone and polyimide.nbsp; T ...

Thin-ply prepregs offer significant improvements in weight reduction, stiffness and overall mechanical properties over traditional composite laminates. nbsp;Thin plies (lt;0.05 mm/layer) suppress or delay crack initiation in loaded composite structures thereby allowing for manufacturing of lighter, stiffer and more durable composite products. Recent thin-ply prepreg materials, consisting of toughe ...

The Phase I of the SBIR “Smart Fault Management” project aims to demonstrate how the fault management process can be innovated by exploiting concepts from a combination of well-established and emerging disciplines such as Bayesian Statistics, GPU-accelerated numerical simulations, Data Science, and Machine Learning that are disrupting the current status quo in many scientific and engineering f ...

The proposed research aims to develop a metal matrix composite (MMC) fabric that, when combined with additive manufacturing, will lead to weight reduction, increased structural performance, and reduce fabrication costs of structural components within launch vehicles. The approach focuses on developing a MMC fabric that will be used to selectively reinforce metallic components that are subjected to ...

This project will result in the commercialization of an Intelligent Electronic Speed Controller (IESC) for use on Unmanned Aerial Vehicles (UAVs). The IESC will advance the state-of-the-art of health-state awareness. This will be achieved through the integration of propulsion system health monitoring sensors that - in unison with an Intelligent Rule Set - will be able to monitor system and compone ...

This project intends to design and develop an Intelligent Electronic Speed Controller (IESC) for use on Unmanned Aerial Vehicles (UAVs). The IESC will advance the state-of-the-art of health-state awareness. This will be achieved through the integration of propulsion system health monitoring sensors that - in unison with an Intelligent Rule Set - will be able to monitor system and component perfo ...

TMC's reusable modeling and simulation technologies are currently utilized by NASA for enabling advanced verification and validation (V&V) and dynamic analysis of complex systems such as spacecraft and launch vehicles by executing the exact flight software binaries in a software-only test bed. These reusable technologies, already developed under a NASA contract, are also applicable to unmanned air ...

The proposed research pursues a path for reducing structural weight, increasing structural performance, and reducing fabrication cost while also minimizing maintainability. The approach, which is based on selective reinforcement, is a change in the basic design philosophy and will result in the development of a hybrid material form. The selective reinforcement approach allows the structural desi ...