Award Data

AI Signal Research, Inc. proposes to develop a Non-Intrusive Vibration Measurement System (NI-VMS) for turbopumps which will provide effective on-board/off-board fault detection diagnostic capabilities without relying on any intrusive installation of once per revolution (1/Rev) tachometer key phasor measurement. Many vibration signature analysis techniques use a key phasor signal to identify and ...

The proposed R&D is to develop a wireless data networking capability. A prototype capability will result from the Phase 1 and 2 contracts. The Versatile Wireless Data Net (VWDN) employs an 802.11x wireless protocol for a network of sensor, recording, and monitoring nodes. The concept combines extensive computational capability with a family of transducers in self-contained packages with an ele ...

The Command, Control, Communications and Information (C3I) environment will be significantly different for Constellation than for Shuttle and International Space Station (ISS). Missions will operate not only in Near Earth round-trip latencies (RTLT) of seconds but also Near Mars RTLT of 10 to 40 minutes. New classes of collaboration services are required to support the spectrum of Constellation ...

This proposed project will attempt to develop a data analysis system for structural health monitoring on space structures. The data analysis software will be a key component in space vehicle health management system and can be used to in vehicle life prediction. The sensor data analysis algorithm is aimed at providing a modeling and simulation tool for data collected from a network of distribute ...

We propose to develop a novel, high-accuracy, high-fidelity, multiresolution (MRES), wavelet-based framework for efficient prediction of airframe noise sources and acoustic propagation. In Phase I, 2D and 3D models of MRES methodology were developed. An acoustic analogy module based on Ffowcs Williams and Hawking technique was developed to accurately propagate the near-field acoustic signals to fa ...

Obtaining high quality, intact RNA from cells is an ubiquitous need in the pursuit of space biology. Our overall objective is to develop and commercialize a microfluidics based miniaturized platform (MED-RNA) that can fully automate the complex process of RNA isolation. Starting from harvested whole mammalian cells in a culture medium, MED-RNA will lyse, capture, and isolate RNA content for later ...

NASA's vision for Space Exploration aims for human interplanetary missions that have significant challenges on crew health and safety including fluid shifts, and post-flight orthostatic intolerance. A predictive software tool that advances the understanding of underlying biofluid dynamics is critical to affordably analyzing and designing protective systems and countermeasures. CFDRC proposes to d ...

Development of a candidate bi-propellant system consisting of a gelled hydrocarbon fuel coupled with a highly energetic gelled oxidizer suitable for outer planetary missions is proposed. Theoretical calculations suggest that this innovative combination can meet NASA's propulsion requirements for low power consumption (i.e. minimal use of heaters) while providing a vacuum specific impulse of ~ 360 ...

This project will develop a much-needed multidisciplinary analysis tool for predicting the impact of aeroelastic effects on the functionality of inflatable aeroassist vehicles. High-fidelity computational modules for fluid dynamics, heat transfer, structural dynamics, and dynamic motion will be coupled into a multidisciplinary computing environment. The multi-disciplinary system has been successfu ...

We propose a dual objective innovation that has valuable NASA applicability and tremendous commercial potential. The first innovation is the structure determination of osteoporosis, immune system diseases, and radiation damage repair proteins utilizing proprietary neural network based algorithms. The long-term results from this innovation could provide effective medical countermeasures for bone ...