淡江大學機構典藏:Item 987654321/96750
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 62805/95882 (66%)
Visitors : 3920725      Online Users : 398
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
    •  Adv. Search
    Home ‧ Login ‧ Upload ‧ Help ‧ About ‧ Administer Goto mobile version


    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/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

    Files in This Item:

    File Description SizeFormat
    2010 Computational Fluid Dynamics-Based Multiobjective Optimization for Catalyst Design.pdfComputational Fluid Dynamics-Based Multiobjective Optimization for Catalyst Design3585KbAdobe PDF493View/Open
    index.html0KbHTML319View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - Feedback