49 research outputs found

    Mixed convection in vertical rod bundles

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    Thesis: Ph. D., Massachusetts Institute of Technology, Department of Mechanical Engineering, 1982Includes bibliographical references.by Paul Douglas Symolon.Ph. D.Ph. D. Massachusetts Institute of Technology, Department of Mechanical Engineerin

    Manual for use with the computer code SUPERENERGY: data reduction version. [LMFBR]

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    A data reduction version of the SUPERENERGY code is presented as a means of calibrating the mixing parameters epsilon/sub 1/* and C/sub 1/ from salt tracer injection experiments. In addition to the older version (SUPERENERGY-DRV-1) which uses a single concentration distribution map to calibrate each mixing parameter, a new version (SUPERENERGY-DRV-2) is presented which utilizes two maps from two different injection levels to calibrate each mixing parameter

    High-altitude, long-endurance unmanned aerial vehicles vs. satellites

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    Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2009.Cataloged from PDF version of thesis.Includes bibliographical references (p. 145-159).Satellites have become a critical component of nearly every aspect of modern life. In addition to well-known civilian applications, military applications of space-based platforms include supporting mission operations through communications; intelligence, surveillance and reconnaissance (ISR); and position, navigation and timing (PN&T). While satellite applications are numerous and increasing technical achievements make satellites more capable, they do have several drawbacks. Satellites are expensive, they require long development times and they are difficult to replace. Since the successful Chinese anti-satellite (ASAT) missile test on January 11, 2006, U.S. military leaders have become increasingly concerned over this new vulnerability to critical space assets. In addition to efforts designed to improve operationally responsive space capabilities, military leaders have begun researching alternatives to space-based platforms. In November, 2006, the U.S. Army released the Army Space Master Plan (ASMP). In the unclassified extract of that plan, the Army identifies a list of eight topics for further investigation including the question, "Where should the Army invest in near-space and high-altitude, long-endurance [HALE] platforms as a lower cost, more responsive alternative to space platforms if they prove technically feasible?" This thesis discusses technical challenges associated with making HALE platforms feasible and explores the potential benefits of using these platforms to augment or enhance the three primary military applications of communications, ISR and PN&T including a detailed examination of current satellite-based military payload capabilities and limitations.(cont.) Finally, this thesis discusses potential methods to integrate HALE capabilities into the current U.S. Army Space Operations doctrine and provides some suggestions for the potential role of Army Space Operations in the design, development, implementation and use of HALE systems. By demonstrating how the Army can use HALE platforms to reduce the capability gap and fulfill more of the users' requirements, this research will answer the question posed in the Army Space Master Plan.by William Everette Symolon.S.M

    Fluid-mixing studies in a hexagonal 217-pin wire-wrapped rod bundle. [LMFBR]

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    Mixing, pressure drop, and flow split experiments were performed on a 217 pin LMFBR fuel bundle with a pitch to diameter ratio of 1.25 and a lead length of 12 inches. It was found that the turbulent flow data could best be characterized by the energy parameter C/sub 1L/=.106, which is 9% higher than the value from the correlation of Chiu et al. Chiu's correlation was developed on a data base of 61 and 91 pins. The spread of existing data about the correlation is +- 25%, but the error band on our data is expected to be less (approx. +- 10% since injection depth effects were not previously considered). This result is consistent with the concept of increased swirl flow in larger bundles (more pins)

    Single-Image Super Resolution using Convolutional Neural Network

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    Increasing threats to U.S. national security satellite constellations have resulted in an increased interest in constellation resilience and satellite redundancy. CubeSats have contributed to commercial, scientific and government applications in remote sensing, communications, navigation and research and have the potential to enhance satellite constellation resilience. However, the inherent size, weight and power limitations of CubeSats enforce constraints on imaging hardware; the small lenses and short focal lengths result in imagery with low spatial resolution. Low resolution limits the utility of CubeSat images for military planning purposes and national intelligence applications. This paper implements a super-resolution deep learning architecture and proposes potential applications to CubeSat imagery
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