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Results for “SPACE EXPLORATION”
Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
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Space Mining is Coming: Implications for Space Exploration and Terrestrial Mining
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Space Exploration using Additive Manufacturing
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Maturation of Dynamic Power Convertors for RPS Robotic Space Exploration
NASA is developing dynamic power conversion technologies for future robotic space science and exploration missions powered by Radioisotope Power Systems (RPS). The Dynamic Radioisotope Power Systems (DRPS) Project is working to mature numerous dynamic power convertors and controllers for potential infusion into future flight generators. Maturation of power conversion technologies is being managed by the RPS Program and executed by the DRPS Project and Thermal Energy Conversion Branch located at NASA’s Glenn Research Center (GRC). Convertor maturation includes multiple convertor technology development contracts to deliver new prototypes and continued testing of relevant legacy convertors, commissioned during past projects. The convertor technology development contracts include two Stirling contractor teams and one Brayton team. All contracts have now completed prototype fabrication and testing planned during Phase 2. Government assessment of the new prototypes includes verification of performance in relevant environments and validation of the design with a focus on robustness.
Maturation of Dynamic Power Convertors for RPS Robotic Space Exploration
NASA is developing dynamic power conversion technologies for future robotic space science and exploration missions powered by Radioisotope Power Systems (RPS). The Dynamic Radioisotope Power Systems (DRPS) Project is working to mature numerous dynamic power convertors and controllers for potential infusion into future flight generators. Maturation of power conversion technologies is being managed by the RPS Program and executed by the DRPS Project and Thermal Energy Conversion Branch located at NASA’s Glenn Research Center (GRC). Convertor maturation includes multiple convertor technology development contracts to deliver new prototypes and continued testing of relevant legacy convertors, commissioned during past projects. The convertor technology development contracts include two Stirling contractor teams and one Brayton team. All contracts have now completed prototype fabrication and testing planned during Phase 2. Government assessment of the new prototypes includes verification of performance in relevant environments and validation of the design with a focus on robustness.
Space exploration - the practical benefits. i.
Practical applications of space technology in the fields of national security, industry and transportation
The detection of optical asymmetry in biogenic molecules by gas chromatography for extraterrestrial space exploration - Sample processing studies.
Life detection for space missions based on detecting optical asymmetry in biogenic molecules by gas chromatography involving diastereomeric esters synthesis
The detection of optical asymmetry in biogenic molecules by gas chromatography for extraterrestrial space exploration - Sample processing studies
Life detection for space missions based on detecting optical asymmetry in biogenic molecules by gas chromatography involving diastereomeric esters synthesis
Vision for Space Exploration
Vision tasks include: a) Complete the International Space Station; b) Safely fly the Space Shuttle until 2010; c) Develop and fly the Crew Exploration Vehicle (by 2014); d) Return to the moon (by 2020); e) Sustained and affordable human and robotic program; f) Develop innovative technologies, knowledge, and infrastructures; and g) Promote international and commercial participation.
A Modular Habitation System for Human Planetary and Space Exploration
A small-diameter modular pressure vessel system is devised that can be applied to planetary surface and deep space human exploration missions. As one of the recommendations prepared for the NASA Human Spaceflight Architecture Team (HAT) Evolvable Mars Campaign (EMC), a compact modular system can provide a Mars-forward approach to a variety of missions and environments. Small cabins derived from the system can fit into the Space Launch System (SLS) Orion "trunk", or can be mounted with mobility systems to function as pressurized rovers, in-space taxis, ascent stage cabins, or propellant tanks. Larger volumes can be created using inflatable elements for long-duration deep space missions and planetary surface outposts. This paper discusses how a small-diameter modular system can address functional requirements, mass and volume constraints, and operational scenarios.
Mars After 50 years of Space Exploration: Then, Now and Beyond
No abstract available
Affordability Approaches for Human Space Exploration
The design and development of historical NASA Programs (Apollo, Shuttle and International Space Station), have been based on pre-agreed missions which included specific pre-defined destinations (e.g., the Moon and low Earth orbit). Due to more constrained budget profiles, and the desire to have a more flexible architecture for Mission capture as it is affordable, NASA is working toward a set of Programs that are capability based, rather than mission and/or destination specific. This means designing for a performance capability that can be applied to a specific human exploration mission/destination later (sometime years later). This approach does support developing systems to flatter budgets over time, however, it also poses the challenge of how to accomplish this effectively while maintaining a trained workforce, extensive manufacturing, test and launch facilities, and ensuring mission success ranging from Low Earth Orbit to asteroid destinations. NASA Marshall Space Flight Center (MSFC) in support of Exploration Systems Directorate (ESD) in Washington, DC has been developing approaches to track affordability across multiple Programs. The first step is to ensure a common definition of affordability: the discipline to bear cost in meeting a budget with margin over the life of the program. The second step is to infuse responsibility and accountability for affordability into all levels of the implementing organization since affordability is no single person s job; it is everyone s job. The third step is to use existing data to identify common affordability elements organized by configuration (vehicle/facility), cost, schedule, and risk. The fourth step is to analyze and trend this affordability data using an affordability dashboard to provide status, measures, and trends for ESD and Program level of affordability tracking. This paper will provide examples of how regular application of this approach supports affordable and therefore sustainable human space exploration architecture.
Assessment of Ultrasound Devices to Protect the Health of Astronauts in the New Era of Space Exploration: A Literature Review
Microgravity and radiation of space create harsh physiological strains on astronauts with significant damaging effects on cardiovascular and musculoskeletal systems among others. It is necessary to utilize medical technologies that can effectively monitor chronic and acute alterations to astronauts’ health statuses on spacecrafts. Future missions to distant planetary bodies will result in longer exposure to damaging environmental factors and limit crew access to healthcare resources and maintenance devices; thus, even greater logistical and quality considerations must be made. Remarkable advancements in ultrasound technology have created new powerful portable imaging devices and a potential chip-based alternative to piezoelectric crystals that are used in nearly all ultrasound devices. This literature review will investigate new commercial and prototypal ultrasound medical devices on their potential effectiveness in austere environments such as space. The accuracy, versatility, and practicality of each device will be compared to each other as well as the current technological gold standards of health monitoring used in traditional healthcare settings. Assessment of new ultrasound technology in this literature review will provide guidance to future missions by space agencies regarding the most optimal medical devices to protect astronauts and, therefore, enable further exploration of distant planets and solar systems.
Highly survivable avionics systems for long-term deep space exploration
This paper summarizes work in progress in three different areas: 1) a framework for the design of higly reliable and higly available space avionics systems; 2) distributed reliable computing architecture; and 3) Guarded Software Upgrading (GSU) techniques for software upgrading during long-term missions such as the Pluto/Kuiper missions.
An Interdisciplinary Approach to Medical System Design for Future Space Exploration Missions
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Deep space telecommunications, navigation, and information management - Support of the Space Exploration Initiative
The principal challenges in providing effective deep space navigation, telecommunications, and information management architectures and designs for Mars exploration support are presented. The fundamental objectives are to provide the mission with the means to monitor and control mission elements, obtain science, navigation, and engineering data, compute state vectors and navigate, and to move these data efficiently and automatically between mission nodes for timely analysis and decision making. New requirements are summarized, and related issues and challenges including the robust connectivity for manned and robotic links, are identified. Enabling strategies are discussed, and candidate architectures and driving technologies are described.
A Novel Active Optimization Approach for Rapid and Efficient Design Space Exploration Using Ensemble Machine Learning
In this work, a novel design optimization technique based on active learning, which involves dynamic exploration and exploitation of the design space of interest using an ensemble of machine learning algorithms, is presented. In this approach, a hybrid methodology incorporating an explorative weak learner (regularized basis function model) that fits high-level information about the response surface and an exploitative strong learner (based on committee machine) that fits finer details around promising regions identified by the weak learner is employed. For each design iteration, an aristocratic approach is used to select a set of nominees, where points that meet a threshold merit value as predicted by the weak learner are selected for evaluation. In addition to these points, the global optimum as predicted by the strong learner is also evaluated to enable rapid convergence to the actual global optimum once the most promising region has been identified by the optimizer. Additionally, this methodology is first tested by applying it to the optimization of a two-dimensional multi-modal surface and, subsequently, to a complex internal combustion (IC) engine combustion optimization case with nine control parameters related to fuel injection, initial thermodynamic conditions, and in-cylinder flow. It is found that the new approach significantly lowers the number of function evaluations that are needed to reach the optimum design configuration (by up to 80%) when compared to conventional optimization techniques, such as particle swarm and genetic algorithm-based optimization techniques.
A novel active optimization approach for rapid and efficient design space exploration using ensemble machine learning
In this work, a novel design optimization technique based on active learning, which involves dynamic exploration and exploitation of the design space of interest using an ensemble of machine learning algorithms, is presented. In this approach, a hybrid methodology incorporating an explorative weak learner (regularized basis function model) which fits high-level information about the response surface, and an exploitative strong learner (based on committee machine) that fits finer details around promising regions identified by the weak learner, is employed. For each design iteration, an aristocratic approach is used to select a set of nominees, where points that meet a threshold merit value as predicted by the weak learner are selected to be evaluated using expensive function evaluation. In addition to these points, the global optimum as predicted by the strong learner is also evaluated to enable rapid convergence to the actual global optimum once the most promising region has been identified by the optimizer. This methodology is first tested by applying it to the optimization of a two-dimensional multi-modal surface. The performance of the new active learning approach is compared with traditional global optimization methods, namely micro-genetic algorithm (pGA) and particle swarm optimization (PSO). It is demonstrated that the new optimizer is able to reach the global optimum much faster with a significantly fewer number of function evaluations. Subsequently, the new optimizer is also applied to a complex internal combustion (IC) engine combustion optimization case with nine control parameters related to fuel injection, initial thermodynamic conditions, and in-cylinder flow. It is again found that the new approach significantly lowers the number of function evaluations that are needed to reach the optimum design configuration (by up to 80%) when compared to particle swarm and genetic algorithm-based optimization techniques.