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Drag coefficients for elongated/flattened irregular particles based on particle-resolved direct numerical simulation. POWDER TECHNOL 2023. [DOI: 10.1016/j.powtec.2023.118290] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
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Mao ZS, Yang C. Numerical evaluation of virtual mass force coefficient of single solid particles in acceleration. Chin J Chem Eng 2021. [DOI: 10.1016/j.cjche.2021.11.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Abstract
An internal circulation (IC) anaerobic reactor is widely used in the treatment of municipal and industrial wastewater with high volumetric loading rates. The performance of an IC reactor is closely related with hydrodynamic behaviors of anaerobic granules. Typically, anaerobic granules work in swarms and the settling behavior of a granule is disturbed by other granules. However, the research on anaerobic granule swarms is insufficient. In this work, Computational Fluid Dynamics (CFD) method was employed to study the hydrodynamic behaviors of anaerobic granule swarms with various voidages. The simulated results showed that the average velocity inside granules increased significantly as the voidage of granule swarm decreased and as the Reynolds number increased. The maximum shear stress on the granule’s surface increased with decreasing voidage and increasing Reynolds number. Based on the hydrodynamic behaviors of anaerobic granule swarms, an improved model of drag force coefficient for granule swarms was developed. The predicted expanded height, using the improved model, gives better consistency with experimental results. The improved model can embed in CFD code to improve the precision of the description of the IC reactor model and provide valuable information for designing and operating an IC reactor.
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Wang H, Li X, Mao Z, Yang C. New invasive image velocimetry applicable to dense multiphase flows and its application in solid–liquid suspensions. AIChE J 2019. [DOI: 10.1002/aic.16668] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Haoliang Wang
- CAS Key Laboratory of Green Process and Engineering, Institute of Process EngineeringChinese Academy of Sciences Beijing China
- School of Chemical EngineeringUniversity of Chinese Academy of Sciences Beijing China
| | - Xiangyang Li
- CAS Key Laboratory of Green Process and Engineering, Institute of Process EngineeringChinese Academy of Sciences Beijing China
| | - Zai‐Sha Mao
- CAS Key Laboratory of Green Process and Engineering, Institute of Process EngineeringChinese Academy of Sciences Beijing China
| | - Chao Yang
- CAS Key Laboratory of Green Process and Engineering, Institute of Process EngineeringChinese Academy of Sciences Beijing China
- School of Chemical EngineeringUniversity of Chinese Academy of Sciences Beijing China
- Green Manufacture InstituteChinese Academy of Sciences Beijing China
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Computational chemical engineering – Towards thorough understanding and precise application. Chin J Chem Eng 2016. [DOI: 10.1016/j.cjche.2016.04.037] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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WITHDRAWN: Computational chemical engineering - Towards thorough understanding and precise application. Chin J Chem Eng 2016. [DOI: 10.1016/j.cjche.2016.05.040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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