کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10243325 | 46929 | 2005 | 5 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Artificial neural network-aided development of supported Co catalyst for preferential oxidation of CO in excess hydrogen
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی شیمی
کاتالیزور
پیش نمایش صفحه اول مقاله
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چکیده انگلیسی
Preferential oxidation (PROX) of 1 vol% CO was investigated using the stoichiometric amount of O2 in excess hydrogen. Cobalt supported on alkali earth metal carbonate, especially Co/SrCO3, showed high selectivity to PROX of CO while the assistance of methanation of CO was necessary to achieve over 99% conversion of CO. Cobalt loading and preparation conditions of Co/SrCO3 was optimized by using a full factorial design of experiment, an artificial neural network and a grid search. Over 99% O2 conversion and 78% selectivity for PROX at 200 °C was achieved by 3.2 mol% Co/SrCO3 pretreated at 345 °C.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Catalysis Communications - Volume 6, Issue 8, August 2005, Pages 563-567
Journal: Catalysis Communications - Volume 6, Issue 8, August 2005, Pages 563-567
نویسندگان
Kohji Omata, Yasukazu Kobayashi, Muneyoshi Yamada,