Investigation of flow Maldistribution in Trickle Bed Reactors Dense and Sock Loading Beds

سال انتشار: 1390
محل انتشار: هفتمین کنگره ملی مهندسی شیمی
کد COI اختصاصی: ICHEC07_032
زبان مقاله: انگلیسی
تعداد مشاهده: 936

نویسندگان

Computational Fluid Dynamics (CFD) Research Laboratory, School of Chemical Engineering, Iran University of Science and Technology, Narmak, Tehran, ۱۶۸۴۶, Iran Research Institute of Petroleum Industry, Tehran, Iran

s.h Hashemabadi

Computational Fluid Dynamics (CFD) Research Laboratory, School of Chemical Engineering, Iran University of Science and Technology, Narmak, Tehran, ۱۶۸۴۶, Iran

m Bayat

Research Institute of Petroleum Industry, Tehran, Iran

چکیده

Liquid mal-distribution in catalytic Trickle bed reactor have investigated using porous alumina extrudate trilobe catalysts. Two different catalyst loading methos (dense and sock) were used toevaluate the performances of the dense and sock loaded bed in terms of liquid spreading. Theexperimental setup has capability for studying the effect of bed height on distribution of the liquid for different gas and liquid flow rates. A collector device with seven compartments has been usedin bottom of the reactor to investigate the liquid radial distribution. Furthermore, an Artificial Neural Network (ANN) algorithm has been applied to predict the effective parameters on liquid spreading in trickle bed using the obtained experimental data. was concluded that with same liquiddistributor and operating conditions, the sock packed beds distribute liquid better than dense ones.It was explaind that these results are due to the Isotropic distribution of porosity in sock loaded beds in comparison with dense beds. It was observed that any increase in gas and liquid flow rate enhances the liquid flow distribution; however, the effect of liquid flow rate is more considerable.

کلیدواژه ها

trickle bed reactor, maldistribution, trilobe catalyst, dense and sock loading, artificial neural network

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