کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10397463 | 889519 | 2005 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Neural network approximation of iron oxide reduction process
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موضوعات مرتبط
مهندسی و علوم پایه
مهندسی شیمی
تکنولوژی و شیمی فرآیندی
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
The kinetics of Fe2O3 to FeO reduction process was investigated using the thermogravimetric data. The authors' previous experimental results indicated that initially the reduction of hematite is a surface controlled process, however once a thin layer of lower oxidation state iron oxides (magnetite, wüstite) is formed on the surface, it changes to diffusion control. In order to analyze the time-behavior of Fe2O3 reduction under various process conditions, artificial neural network (ANN) was tested for modeling of this complex reaction pathways. The data used included the reduction of hematite in various temperatures by CO, H2 and a mixture of CO and H2. The ANN model proved its applicability and capability to mimic some extreme (minimum) of reaction rate within specific temperature range, when the classical Arrhenius equation is of limited use.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Chemical Engineering and Processing: Process Intensification - Volume 44, Issue 7, July 2005, Pages 775-783
Journal: Chemical Engineering and Processing: Process Intensification - Volume 44, Issue 7, July 2005, Pages 775-783
نویسندگان
Tomasz Wiltowski, Krzysztof Piotrowski, Hana Lorethova, Lubor Stonawski, Kanchan Mondal, S.B. Lalvani,