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Numerical Investigation of Coupling Effect in Muitipipe Ceramic Filter Vessel 被引量:2
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作者 李海霞 姬忠礼 +1 位作者 吴小林 崔柱洪 《Chinese Journal of Chemical Engineering》 SCIE EI CAS CSCD 2008年第4期558-563,共6页
The Reynolds stress transport model and the Eulerian two-fluid model provided by the FLUENT code were applied to evaluate the gas-particle two-phase flow in the ceramic filter vessel. The ceramic filter vessel contain... The Reynolds stress transport model and the Eulerian two-fluid model provided by the FLUENT code were applied to evaluate the gas-particle two-phase flow in the ceramic filter vessel. The ceramic filter vessel contains six candle filters, which are arranged in the form of equilateral hexagon. The variation of the areal density of the filter cake during the filtration and the back-pulse process were analyzed. The coupling effect between filters, gas and solid, filtration and pulse cleaning process were investigated, respectively. The numerical results show a good approach to predict the particle distribution in the vessel and the particle deposition on the filter element. This study provides the base for the intensive study on the analysis of the gas-particle flow in the filter vessel. 展开更多
关键词 multipipe ceramic filter vessel gas/solid two-phase flow numerical simulation
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Vascular segmentation of neuroimages based on a prior shape and local statistics
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作者 Yun TIAN Zi-feng LIU Shi-feng ZHAO 《Frontiers of Information Technology & Electronic Engineering》 SCIE EI CSCD 2019年第8期1099-1109,共11页
Fast and accurate extraction of vascular structures from medical images is fundamental for many clinical procedures.However,most of the vessel segmentation techniques ignore the existence of the isolated and redundant... Fast and accurate extraction of vascular structures from medical images is fundamental for many clinical procedures.However,most of the vessel segmentation techniques ignore the existence of the isolated and redundant points in the segmentation results.In this study,we propose a vascular segmentation method based on a prior shape and local statistics.It could efficiently eliminate outliers and accurately segment thick and thin vessels.First,an improved vesselness filter is defined.This quantifies the likelihood of each voxel belonging to a bright tubular-shaped structure.A matching and connection process is then performed to obtain a blood-vessel mask.Finally,the region-growing method based on local statistics is implemented on the vessel mask to obtain the whole vascular tree without outliers.Experiments and comparisons with Frangi’s and Yang’s models on real magneticresonance-angiography images demonstrate that the proposed method can remove outliers while preserving the connectivity of vessel branches. 展开更多
关键词 vesselness filter NEIGHBORHOOD Blood-vessel segmentation OUTLIER
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