Neural network prediction of residence time distribution for quasi-2D pebble flow

Yujia Liu,Jeremy Marquardt,Sifan Peng,Liang Ge,Nan Gui,X.T. Yang,J.Y. Tu,S.Y. Jiang,Seungjin Kim

Chemical Engineering Science（2022）

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摘要

•A quasi-2D pebble bed is built to get quantitative residence time distribution (RTD).•Image identification for large pebbles is achieved by a high-precision PTV algorithm.•Neural network method is used to predict RTD of 2D pebble flow with good accuracy.•Arc-shaped RTD is explained by radial flow model and linear one is by boundary layer.•Prediction result verifies pebble flow follows trends of radial flow model in hopper area.

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关键词

Pebble flow,Residence time,Quasi-static flow,Image identification,PTV algorithm,Neural network

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