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    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/70936

    题名: 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
    贡献者: 淡江大學化學工程與材料工程學系
    日期: 2010-06-16
    上传时间: 2011-10-24 00:29:44 (UTC+8)
    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 mu m, 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 mu m, or a 4-hole shape with a smaller particle size of 6-8 mm.
    關聯: 21st International Symposium on Chemical Reaction Engineering (ISCRE 21), 8p.
    显示于类别:[化學工程與材料工程學系暨研究所] 會議論文





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