The method of BP neural network coupled with computational fluid dynamics (CFD) was used to optimize the structural parameters of inlet diameter, annular gap width, ratio of height to diameter and concentric inner cylinder diameter of compact flotation unit. The effects of these structural parameters on the separation efficiency were also predicted. The results showed that the separation efficiency of the CFU after optimization has been improved from 81.07% to 92.82% and the deviation between estimation and actual value is only 1.15%. Increasing distribution flow tube diameter, the ratio of height to diameter and the inlet diameter and decreasing the width of annular gap are beneficial to strengthen oil?water transmission and improve the separation efficiency.
Xiaolei CAI Jiaqing CHEN Xianggong KONG Meili LIU Jiecheng YU Yipeng JI
. Structure Optimization and Performance Prediction of Compact Flotation Unit Using BP Neural Network and Computational Fluid Dynamics[J]. The Chinese Journal of Process Engineering, 2017
, 17(5)
: 918
-925
.
DOI: 10.12034/j.issn.1009-606X.217135
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