Prediction of the Coking on the Wall of the Suspended Bed Reactor for Hydrogenation Reaction

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Abstract

Choosing a suspended bed hydrogenation reactor with a simple structure as an object, the computational fluid dynamics software was used to simulate the internal fluid flow in it. The BP neural network model in the MATLAB and the data fitting software were used to calculate the experiment data, and finally got the relation formula between the coke yield and the reaction data. The relation formula was used as a variable to insert into the simulation result files of CFD-post. Finally the contour of the coking data can be seen directly from the wall, combining with the internal flow field, the easy-coking position can be estimated. The result shows that, in this model, the easy-coking positions concentrated on the middle on the bottom, the central region of the upper surface on the distribution tray and joint of the tray and the wall.

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	Articles by authors
	Zhang Xiao
	Jiang Bin
	Xiao Xiaoming

Keywords： suspended bed reactor； BP neural network； coke yield

Received 2016-04-29;

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Zhang Xiao, Jiang Bin, Xiao Xiaoming.Prediction of the Coking on the Wall of the Suspended Bed Reactor for Hydrogenation Reaction[J] Chemcial Industry and Engineering, 2018,V35(1): 69-74

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