Award Data

Locating objects that vibrate is a way to discern potential threats and locate targets. However, current vibrometry technology typically measures only the global vibration of target and cannot create an extended spatial measurement of the vibration profile of the target. These solutions cannot identify what the target is, nor can they locate potential weak spots on the target, because they lack sp ...

The objective of this proposal is to demonstrate the feasibility of producing an automated delayering and imaging system with end point detection, material density detection with built in neural network error correction. This process, coined fast Automated Delayering-Image Capture System (ADICS) leverages off of the existing Pix2Net which is a proven automated imaging 3D microchip reconstruction ...

In Phase I, ISSI will design and demonstrate a laser absorption-based sensor for time-resolved measurements of combustion fuel/product concentrations (H2O, CO, CO2 and fuel) and gas temperature within the detonation channels and nozzle exit-plane of a rotating detonation rocket engine (RDRE). The goal of this STTR is to develop a single sided sensor that plugs into the outer wall of the RDRE simil ...

ABSTRACT: Optical Sciences Corporation (OSC) and the University of Alabama in Huntsville"s Center for Applied Optics (UAH/CAO) will demonstrate the feasibility and present a plan for developing optical instrumentation for the monitoring, mitigation, and removal of cryodeposits accumulated on optical and mechanical surfaces in cryogenic-vacuum radiometric calibration chambers. OSC will investigat ...

Target tracking and aimpoint maintenance are critical functions within a laser directed energy system. Traditionally, the optical sensor is a conventional camera viewing an actively illuminated target. In the absence of turbulence, it is still difficult to point the laser weapon to a specific hit spot when there are no features in the required direction. Further, atmospheric turbulence scintillate ...

The objective is to develop zonal multi-physics capability for turbulent combustion simulations. The foundation of the proposed work is a novel Pareto-Efficient Combustion (PEC) framework for fidelity-adaptive combustion modeling. The PEC model utilizes a combustion submodel assignment, combining the low-cost flamelet-based models with the more expensive finite rate chemistry models where necessar ...

We will deliver a new software architecture for scene generation named the Realistic Image and Neighborhood Generator (RING). Instead of being tied to a single tool, RING will provide interfaces suitable for a wide variety of image and scene rendering tools to run and interact with other codes. As an initial implementation of the interfaces, we will incorporate Stellar Science’s powerful, f ...

ABSTRACT: Barron Associates Inc. proposes development of a Game-based AutonoMy-Enabled Response (GAMER) system for spacecraft protection. The effort extends leading-edge research in dynamic games to enable autonomous defensive response to space threats. GAMER introduces a hierarchical approach that enables multiple satellites to work together towards a common protection strategy in an evolving en ...

Wave-optics simulations are critical tools for analysis of laser directed energy systems. The primary method for conducting these simulations is to evaluate the Fresnel diffraction integral using the angular spectrum method based on the fast Fourier transform (FFT). While FFTs are considered computationally efficient, their use in the Fresnel integral results in difficult grid constraints includin ...

ABSTRACT: Existing machine learning algorithms have difficulty using all available data about a problem. This STTR will develop a new algorithm that can make full use of all available data, whether that data is labeled or not, and even when some data types or data resolutions are not available during operation. BENEFIT: This STTR will develop a novel machine learning algorithm for reasoning abo ...