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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/96750

    Title: Computational fluid dynamics-based multiobjective optimization for catalyst design
    Authors: Cheng, Shueh-Hen;Chang, Hsuan;Chen, Yih-Hang;Chen, Hsi-Jen;Chao, Yung-Kang;Liao, Yu-Hsiang
    Contributors: 淡江大學化學工程與材料工程學系暨研究所
    Date: 2010-11
    Issue Date: 2014-03-13 09:44:16 (UTC+8)
    Publisher: Washington: American Chemical Society
    Abstract: For an industrial secondary methane steam reformer with regular packing, catalyst design is accomplished by an integrated optimization approach, which includes the design of experiment, computational fluid dynamics (CFD) simulation, a response surface method, and a genetic algorithm, for multiobjective optimization. Both spherical and cylindrical catalysts are studied. The reactor performance considered for the catalyst design includes the pressure drop and hydrogen production, which constitute the binary objective functions for optimization. The optimal solutions reveal that a large pore diameter, near 1 µm, should be adopted for spherical catalysts. For cylindrical catalysts, the optimal design suggests the use of a 1-big-hole shape with a larger particle and pore size, 10-13 mm and near 1 µm, or a 4-hole shape with a smaller particle size of 6-8 mm.
    Relation: Industrial and Engineering Chemistry Research 49, pp. 11079–11086
    DOI: 10.1021/ie1001839
    Appears in Collections:[Graduate Institute & Department of Chemical and Materials Engineering] Journal Article

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