21 research outputs found

    Investigation of large scale use of radioactive krypton-85 for leak detection in the Saturn space vehicle

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    A major problem in space flight has been leakage of fluids and gases and is particularly serious at launching. Comparatively small leaks of propellant and/or oxidizer can cause disasterous explosions. The emphasis on the initial studies reported in this article has been the development of an improved method for leak detection during factory test and checkout prior to launching and space flight. However, the long-range objective of a versatile leak detection system that could be used in space, during launching, as well as during static testing, was kept in view. A leak detection technique was developed based on the use of Kr85 as a radiotracer. This technique is described and is believed to be more versatile than any other. Krypton has sufficient solubility to be used as a tracer in all liquids tested, except hydrogen. Leakage rates can be determined with greater precision in the order of 0.005 SCIM (Standard Cubic Inches per Minute) than by any other methods. Because of safety and ease of use, radiokrypton shows great promise for many applications.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/32027/1/0000070.pd

    On the theory of xenon induced instabilities in neutron flux distribution

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    http://deepblue.lib.umich.edu/bitstream/2027.42/5242/5/bac3655.0001.001.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/5242/4/bac3655.0001.001.tx

    The effect of modal interaction in the xenon instability problem

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    http://deepblue.lib.umich.edu/bitstream/2027.42/5241/5/bac3718.0001.001.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/5241/4/bac3718.0001.001.tx

    Ford Nuclear Reactor - Phoenix Memorial Laboratory

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    Prepared for the AEC-ASEE Summer Institute, held in Ann Arbor Michigan, June 23 - August 15, 1958.http://deepblue.lib.umich.edu/bitstream/2027.42/86103/1/MMPP AEC-ASEE Summer 1958.PDF2

    COMPARISON OF THE PERFORMANCE OF A TRAINED AND AN UNTRAINED SENSORY PANEL ON SWEETCORN VARIETIES WITH THE PANELCHECK SOFTWARE

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    In this paper the results of trained and untrained sensory panels are compared on five Hungarian commercial sweet corn samples. The two evaluations were carried out in a sensory laboratory (ISO 6658:2005), with the same experimental design, with two replicates, and the panels consisted of 10 panelists. In both cases the panels assembled the profiles of the samples according to the vocabulary chosen by the trained panelists. The results show that the untrained panel has higher standard deviation, weaker repeatability and less significant parameters (ISO/DIS 11132). However 10 of the 17 sensory attributes were significant in the case of the untrained panel, the trained panel has 15 significant parameters with lower standard deviation and good repeatability. During the statistical investigation we focused on the panel performance and used the PanelCheck open source software package to achieve this goal. We followed the workflow suggested by the researchers of the Nofima, the developers of the PanelCheck. According to the examined parameters the trained panel has better discrimination ability (F values) for attributes ’yellow color’, ’hue’, roughness’, ’freshness’, ’juiciness’, ’tenderness’. There was not an attribute evaluated by the untrained panel where all the panel members reached the line representing the 5% significance level. Furthermore the trained panel has better agreement between its assessors (Tucker-1 plots) and the repeatability is much better according to the MSE plots. This examination confirms that it is necessary to train the panels in order to get reliable and consistent results

    Design of a railway mobile gamma source for industrial irradiations

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    http://deepblue.lib.umich.edu/bitstream/2027.42/3868/5/bab4133.0001.001.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/3868/4/bab4133.0001.001.tx

    Air-fuel meter development : final report

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    http://deepblue.lib.umich.edu/bitstream/2027.42/5927/5/bac5823.0001.001.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/5927/4/bac5823.0001.001.tx
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