期刊論文
| 學年 | 99 |
|---|---|
| 學期 | 1 |
| 出版（發表）日期 | 2010-11-01 |
| 作品名稱 | Computational Fluid Dynamics-Based Multiobjective Optimization for Catalyst Design |
| 作品名稱（其他語言） | |
| 著者 | Cheng, Shueh-Hen; Chang, Hsuan; Chen, Yih-Hang; Chen, Hsi-Jen; Chao, Yung-Kang; Liao, Yu-Hsiang |
| 單位 | 淡江大學化學工程與材料工程學系 |
| 出版者 | Washington: American Chemical Society |
| 著錄名稱、卷期、頁數 | Industrial & Engineering Chemistry Research 49(21), pp.11079–11086 |
| 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. |
| 關鍵字 | |
| 語言 | en |
| ISSN | 0888-5885; 1520-5045 |
| 期刊性質 | 國外 |
| 收錄於 | |
| 產學合作 | |
| 通訊作者 | Chang, Hsuan |
| 審稿制度 | |
| 國別 | USA |
| 公開徵稿 | |
| 出版型式 | 紙本 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/86813 ) |