Numerical Prediction of Hydrodynamic Characteristics of Wet Particles and Power-Law Fluids in a Fluidized Bed Using the Dynamic Restitution Coefficient-Reference-Cited by-同舟云学术

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Numerical Prediction of Hydrodynamic Characteristics of Wet Particles and Power-Law Fluids in a Fluidized Bed Using the Dynamic Restitution Coefficient

Published:2024-01-24 Issue:5 Volume:63 Page:2468-2482
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Tian Ruichao¹,Wang Shuyan²^ORCID,Peng Haoping¹,Yang Konghang³,Zhao Yonggang¹,Lei Yun¹^ORCID

Affiliation:

1. Jiangsu Key Laboratory of Oil-Gas Storage and Transportation Technology, Changzhou University, Changzhou 213164, China

2. School of Petroleum Engineering, Northeast Petroleum University, Daqing 163318, China

3. Tazhong Oil and Gas Development Department, Tarim Oilfield Company, Korla 841000, China

Funder

Changzhou University

National Natural Science Foundation of China

Jiangsu Key Laboratory of Oil and Gas Storage and Transportation Technology, School of Petroleum Engineering, Changzhou University

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.3c04372

Reference45 articles.

1. Inverse estimation of fluid-to-particle heat transfer coefficient in aseptic processing of particulate foods

2. Industrial wastewater treatment by Aerobic Inverse Fluidized Bed Biofilm Reactors (AIFBBRs): A review

3. CFD Simulation of Turbulent non-Newtonian Slurry Flows in Horizontal Pipelines

4. Particle dynamics in viscoelastic liquids

5. Effect of SiO2 Nanoparticles on Wax Crystallization and Flow Behavior of Model Crude Oil

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