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    請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/86813

    題名: Computational Fluid Dynamics-Based Multiobjective Optimization for Catalyst Design
    作者: Cheng, Shueh-Hen;Chang, Hsuan;Chen, Yih-Hang;Chen, Hsi-Jen;Chao, Yung-Kang;Liao, Yu-Hsiang
    貢獻者: 淡江大學化學工程與材料工程學系
    日期: 2010-11
    上傳時間: 2013-04-12 17:14:31 (UTC+8)
    出版者: Washington: American Chemical Society
    摘要: 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.
    關聯: Industrial & Engineering Chemistry Research 49(21), pp.11079–11086
    DOI: 10.1021/ie1001839
    顯示於類別:[化學工程與材料工程學系暨研究所] 期刊論文


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