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گواهی نمایه سازی مقاله artificial neural network for modeling of OCM reaction

عنوان مقاله: artificial neural network for modeling of OCM reaction
شناسه (COI) مقاله: ICHEC07_259
منتشر شده در هفتمین کنگره ملی مهندسی شیمی در سال ۱۳۹۰
مشخصات نویسندگان مقاله:

m.r ehsani - Department of Chemical Engineering, Isfahan University of Technology, Isfahan 84156-83111, Iran
h bateni - Department of Chemical Engineering, Isfahan University of Technology, Isfahan 84156-83111, Iran
gh razi parchikolaei - Department of Chemical Engineering, Isfahan University of Technology, Isfahan 84156-83111, Iran

خلاصه مقاله:
In this article, artificial neural network was used for modeling oxidative coupling of methane (OCM) over Mn/Na2WO4/SiO2 catalyst. A multilayer perceptron was used for simulating the relations between process operating conditions such as temperature, gas hourly space velocity(GHSV), CH4/O2 ratio and diluents gas (mol% N2) and aspects of catalytic performance including conversion of methane, C2 products selectivity, yield of C2 and C2H4/C2H6 ratio. In order to prevent network complexity, principal component analysis method was used and the numbers of output parameters were reduced from 4 to 2. For the first output and the second output, there were optimum network with 4-9-1 (one hidden layer which includes 9 neurons) topology and 4-6-1 (one hidden layer which includes 6 neurons) topology prepared, respectively.

کلمات کلیدی:
oxidative coupling of methane OCM,Mn ، Na2Wo4 ، SIo2catalyst,principal components,artificial neural network ANN

صفحه اختصاصی مقاله و دریافت فایل کامل: https://www.civilica.com/Paper-ICHEC07-ICHEC07_259.html