Validation of Multi-Dimensional Stirling Engine Design Codes: Measurements in the 90-Degree Turn Test Section
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This supplemental DVD contains data, code, figures, and files that were necessary for the generation of work described in NASA CR/2006-214131 (CASI ID 20060022139)
The Astrobee preliminary design documents include subsystem design overview slides and a 3D model of the preliminary design of the Astrobee system including: mechanical, electrical, flight software, network, and ground subsystems.
The art of going from a notional vision of a system to a fully realizable design is called “architecting.” For an architecture to be realizable over its lifetime, it has to conform to many demands. Not only does it need to conform to the vision and its ultimate purpose, it needs to adhere to a world of requirements: affordability, reliability, legality, operability, simplicity, analyzability, testability, understandability, accessibility, manufacturability, and repairability, among many others. Ultimately, the architectures that “hang together” in many or all of these dimensions evoke a sense of elegance and beauty. Please join us as Frank Gehry and JPLers Rob Manning and Raul Polit-Casillas discuss examples of design and architecture, and the importance of a well-thought-out design.
In this paper we will review the goals and status of MBED and show the expected interconnectivity between conceptual and detailed design.
By differencing carrier phase measurements from multiple antennas, a global positioning systems (GPS) reciever can determine the attitude of a coordinate frame defined by the antenna baselines. This paper examines the potential role of such a capability within spacecraft avionics. The applications served by current GPS capabilities are identified. Architectural options are considered, and a baseline which satisfies the needs of most applications is defined. The majority of this paper then focuses on the prototyping of this baseline architecture within the Jet Propulsion Laboratory's (JPL's) Flight System Testbed (FST). The test setup is described, and test results are presented. The paper closes with an analysis of the limiting factors in the GPS based altitude determination error budget, a forecast of future capabilities, and a discussion of the advances that will be required to achieve those capabilities.
We discuss a nuclear electric propulsion (NEP) capability that would (1) enable a class of outer solar system missions that cannot be done with radioisotope power systems and (2) significantly enhance a range of other deep-space mission concepts. NASA plans to develop Kilopower technology for lunar surface power. Kilopower can also serve as a power source for a 10-kWe NEP system; therefore, we highlight 10-kWe NEP benefits to encourage the NASA Science Mission Directorate (SMD) to advocate (as a potential beneficiary) for NASA’s plan to develop Kilopower and to motivate further 10-kWe NEP–related concept studies.
What do you do when it is necessary to generate reasonable cost estimates at the earliest Concept Maturity Levels and you have never flown any similar missions before? This paper describes the current and future Team X cost processes and methods, how they are being used to expand our data frontiers and cost modelling capabilities, and how this enables the ability to estimate early and estimate often.
The surface of the Moon is constantly being bombarded by a flux of meteoroids of various sizes. Impacts due to these meteoroids produce secondary ejecta material at much lower speeds but with a total mass larger than the original impactor. Details about the secondary ejecta are important for planning missions on the lunar surface. In this work, an updated ejecta model is presented called the Meteoroid Model of Secondary Ejecta (MeMoSeE), to replace the Apollo-era ejecta model, NASA SP-8013 [1], in the SLS-SPEC 159 Design Specification for Natural Environments (DSNE) [2]. The model produces secondary ejecta flux environments for a user-specified location on the lunar surface, and sorts the incoming secondary flux by angular direction and speed.
This presentation is one of 4 invited talks from NASA, AFRL, SANDIA, and ONR to provide some context of current simulation practices, needs, and concerns as part of the kick-off meeting for an ONR funded MURI in the topic area "Understanding Turbulence-Chemistry Interactions in Non-Equilibrium, High-Speed Flows"
What do you do when it is necessary to generate reasonable cost estimates at the earliest Concept Maturity Levels and you have never flown any similar missions before? This paper describes the current and future Team X and A-Team cost processes and methods, how they are being used to expand our data frontiers, cost modelling capabilities and how this enables the ability to estimate early and estimate often.
Established in 1995 in response to NASA’s “Faster, Better, Cheaper” era, Team-X was born from a need to perform rapid space mission design for principal investigator-led competed proposals. The success and sustainability of Team-X over the 25 years that have followed is directly attributable to the Team-X business model and its evolution over time. While dozens of organizations and institutions have emulated the Team-X design process, there are nuances to the Team-X business model that are unique to JPL, and explain why it is different than other concurrent design teams. One of the key components of a business model is the customer segments that are served. Team-X was founded to conduct the Pre-Phase A work necessary to formulate a portfolio of multiple planetary mission concepts, but has since expanded to include the capability to conduct studies for Earth science, astrophysics, and heliophysics missions as well as Human Exploration and Operations missions and space technology development. Team-X delivers value to its clients both in terms of speed and cost. Team-X has also added value by creating teams to enable the development of Instrument and SmallSat Concepts. Value has further been enhanced through a revision of its process for reviews and the addition of pre-design architecting capabilities. Other aspects of the Team-X infrastructure, in addition to study process, have enabled it to succeed for over a quarter century. From our most important resource, the people, our tools, especially for cost estimating, as well as our increasing capable IT infrastructure have contributed to our capability to meet the demands of our clients. The Team-X business model and its evolution over time, position it well for success in the decades to come.