Bulletin of the Society of Sea Water Science, Japan
Online ISSN : 2185-9213
Print ISSN : 0369-4550
ISSN-L : 0369-4550
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Volume 52, Issue 1
Displaying 1-6 of 6 articles from this issue
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  • Crystallization Phenomena in Suspension
    Masaaki YOKOTA
    1998 Volume 52 Issue 1 Pages 3-13
    Published: 1998
    Released on J-STAGE: February 19, 2013
    DOIhttps://doi.org/10.11457/swsj1965.52.3
    JOURNAL FREE ACCESS
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  • Corrosion Behavior of Resins and FRP under Several Solutions
    Ken TSUDA, Masatoshi KUBOUCHI
    1998 Volume 52 Issue 1 Pages 14-21
    Published: 1998
    Released on J-STAGE: February 19, 2013
    DOIhttps://doi.org/10.11457/swsj1965.52.14
    JOURNAL FREE ACCESS
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    The polymeric materials, which have been generally considered to be good corrosion resistant material, are also degraded according to environments. The degradation behavior of polymeric materials can be classified into physical and chemical process. The later behavior in which molecular chain are cut chemically are called as corrosion. In this paper, the behavior, form and mechanism of corrosion of thermosetting resins used as matrix of GFRP (glass fiber reinforced plastics) under several solutions are mainly reviewed based on our experiments. The degradation behavior of GFRP are also mentioned briefly.
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  • Automatic Control of Salt Manufacturing Process (III) Control of Product Crystal Size by Neural Network Mod
    Masami HASEGAWA, Hiroshi ITO, Naoyoshi NINOMIYA, Toshiharu SINTO, Naoy ...
    1998 Volume 52 Issue 1 Pages 22-27
    Published: 1998
    Released on J-STAGE: February 19, 2013
    DOIhttps://doi.org/10.11457/swsj1965.52.22
    JOURNAL FREE ACCESS
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    A neural network model for finding out of operational conditions for production of desired size crystal in a continious crystallizer with an actual heat exchange area of 3 m2 was discussed. The product crystal size is well correlated among evaporating rate, suspension density of crystal in crystallizer, composition of mother liquid, seed crystal size and seeding rate. The product crystal sizes estimated by neural network model and the measured values almost agreed within 10μm in the random operational conditions.
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  • Control of Product Crystal Size by Neural Network Model in an Industrial Crystallizer
    Automatic Control of Salt Manufacturing Process (IV)
    Masami HASEGAWA, Hiroshi ITO, Kazuya OKUBO, Naoyoshi NINOMIYA
    1998 Volume 52 Issue 1 Pages 28-33
    Published: 1998
    Released on J-STAGE: February 19, 2013
    DOIhttps://doi.org/10.11457/swsj1965.52.28
    JOURNAL FREE ACCESS
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    The control of product crystal size in an industrial crystallizer with an actual heat exchange area of 400 m2 is discussed with regard to application of a neural network model consisting of three explanatory variables: steam flow rate, suspension density of crystal and frequency of circulation pump. The most suitable learning number for the neural network model obtained by the Leave-one-out Cross Validation method was 50,000, and the mean estimated error of product crystal size was about 30μm. From these results, it is believed that the neural network model is accurate enough for practical use, and is effective for designing operational conditions for manufacturing products with the desired crystal size in industrial crystallization. A practical constructing method for a neural network model is proposed.
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  • The Evaluation on the Performance of Sea Water Heat Pump System by using Unused Energy
    Keiji KUROKAWA, Hisashi AKIYOSHI, Michio MIHARA, Osamu MIYATAKE
    1998 Volume 52 Issue 1 Pages 34-35
    Published: 1998
    Released on J-STAGE: February 19, 2013
    DOIhttps://doi.org/10.11457/swsj1965.52.34
    JOURNAL FREE ACCESS
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    With reference to the sea water thermal source heat pump system introduced for supplying heat to the Seaside Momochi Area located in the western part of Fukuoka city, measures for improving the system's efficiency are described first, and then an evaluation of the performance and the energy saving effects of the system are presented. It has been confirmed that the coefficient of performance (COP) under heating and cooling operations of the system reaches 3.46 and 4.86, respectively and the energy saving factor reaches 26% and 47%, respectively.
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  • Gas Sensors (II)
    Hiromichi AONO, Yoshihiko SADAOKA
    1998 Volume 52 Issue 1 Pages 41-44
    Published: 1998
    Released on J-STAGE: February 19, 2013
    DOIhttps://doi.org/10.11457/swsj1965.52.41
    JOURNAL FREE ACCESS
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