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Experiment and computational fluid dynamics investigation of biochar elutriation in fluidized bed. AIChE J 2021. [DOI: 10.1002/aic.17506] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
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Abstract
In the last decade, a few of the early attempts to bring CFD-DEM of fluidized beds beyond the limits of small, lab-scale units to larger scale systems have become popular. The simulation capabilities of the Discrete Element Method in multiphase flow and fluidized beds have largely benefitted by the improvements offered by coarse graining approaches. In fact, the number of real particles that can be simulated increases to the point that pilot-scale and some industrially relevant systems become approachable. Methodologically, coarse graining procedures have been introduced by various groups, resting on different physical backgrounds. The present review collects the most relevant contributions, critically proposing them within a unique, consistent framework for the derivations and nomenclature. Scaling for the contact forces, with the linear and Hertz-based approaches, for the hydrodynamic and cohesive forces is illustrated and discussed. The orders of magnitude computational savings are quantified as a function of the coarse graining degree. An overview of the recent applications in bubbling, spouted beds and circulating fluidized bed reactors is presented. Finally, new scaling, recent extensions and promising future directions are discussed in perspective. In addition to providing a compact compendium of the essential aspects, the review aims at stimulating further efforts in this promising field.
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Jurtz N, Kruggel-Emden H, Baran O, Aglave R, Cocco R, Kraume M. Impact of Contact Scaling and Drag Calculation on the Accuracy of Coarse‐Grained Discrete Element Method. Chem Eng Technol 2020. [DOI: 10.1002/ceat.202000055] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Nico Jurtz
- Technische Universität Berlin Chair of Chemical & Process Engineering Fraunhoferstrasse 33–36 10587 Berlin Germany
| | - Harald Kruggel-Emden
- Technische Universität Berlin Chair of Mechanical Process Engineering & Processing Ernst-Reuter-Platz 1 10587 Berlin Germany
| | - Oleh Baran
- Siemens Digital Industries Software 21 Lafayette St. NH 03766 Lebanon USA
| | - Ravindra Aglave
- Siemens Digital Industries Software 7906 North Sam Houston Pkwy W TX 77064 Houston USA
| | - Ray Cocco
- Particulate Solid Research Inc. 4201 W 36th St IL 60632 Chicago USA
| | - Matthias Kraume
- Technische Universität Berlin Chair of Chemical & Process Engineering Fraunhoferstrasse 33–36 10587 Berlin Germany
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Cai R, Zhao Y. An experimentally validated coarse-grain DEM study of monodisperse granular mixing. POWDER TECHNOL 2020. [DOI: 10.1016/j.powtec.2019.10.023] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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Ji L, Chu K, Kuang S, Chen J, Yu A. Modeling the Multiphase Flow in Hydrocyclones Using the Coarse-Grained Volume of Fluid—Discrete Element Method and Mixture-Discrete Element Method Approaches. Ind Eng Chem Res 2018. [DOI: 10.1021/acs.iecr.8b01699] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Li Ji
- ARC Research Hub for Computational Particle Technology, Department of Chemical Engineering, Monash University, Clayton, Victoria 3800, Australia
| | - Kaiwei Chu
- ARC Research Hub for Computational Particle Technology, Department of Chemical Engineering, Monash University, Clayton, Victoria 3800, Australia
- SEU Monash Joint Graduate School, Suzhou 215123, China
| | - Shibo Kuang
- ARC Research Hub for Computational Particle Technology, Department of Chemical Engineering, Monash University, Clayton, Victoria 3800, Australia
| | - Jiang Chen
- ARC Research Hub for Computational Particle Technology, Department of Chemical Engineering, Monash University, Clayton, Victoria 3800, Australia
- SEU Monash Joint Graduate School, Suzhou 215123, China
| | - Aibing Yu
- ARC Research Hub for Computational Particle Technology, Department of Chemical Engineering, Monash University, Clayton, Victoria 3800, Australia
- SEU Monash Joint Graduate School, Suzhou 215123, China
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