- Volumes 108-119 (2025)
-
Volumes 96-107 (2025)
-
Volume 107
Pages 1-376 (December 2025)
-
Volume 106
Pages 1-336 (November 2025)
-
Volume 105
Pages 1-356 (October 2025)
-
Volume 104
Pages 1-332 (September 2025)
-
Volume 103
Pages 1-314 (August 2025)
-
Volume 102
Pages 1-276 (July 2025)
-
Volume 101
Pages 1-166 (June 2025)
-
Volume 100
Pages 1-256 (May 2025)
-
Volume 99
Pages 1-242 (April 2025)
-
Volume 98
Pages 1-288 (March 2025)
-
Volume 97
Pages 1-256 (February 2025)
-
Volume 96
Pages 1-340 (January 2025)
-
Volume 107
-
Volumes 84-95 (2024)
-
Volume 95
Pages 1-392 (December 2024)
-
Volume 94
Pages 1-400 (November 2024)
-
Volume 93
Pages 1-376 (October 2024)
-
Volume 92
Pages 1-316 (September 2024)
-
Volume 91
Pages 1-378 (August 2024)
-
Volume 90
Pages 1-580 (July 2024)
-
Volume 89
Pages 1-278 (June 2024)
-
Volume 88
Pages 1-350 (May 2024)
-
Volume 87
Pages 1-338 (April 2024)
-
Volume 86
Pages 1-312 (March 2024)
-
Volume 85
Pages 1-334 (February 2024)
-
Volume 84
Pages 1-308 (January 2024)
-
Volume 95
-
Volumes 72-83 (2023)
-
Volume 83
Pages 1-258 (December 2023)
-
Volume 82
Pages 1-204 (November 2023)
-
Volume 81
Pages 1-188 (October 2023)
-
Volume 80
Pages 1-202 (September 2023)
-
Volume 79
Pages 1-172 (August 2023)
-
Volume 78
Pages 1-146 (July 2023)
-
Volume 77
Pages 1-152 (June 2023)
-
Volume 76
Pages 1-176 (May 2023)
-
Volume 75
Pages 1-228 (April 2023)
-
Volume 74
Pages 1-200 (March 2023)
-
Volume 73
Pages 1-138 (February 2023)
-
Volume 72
Pages 1-144 (January 2023)
-
Volume 83
-
Volumes 60-71 (2022)
-
Volume 71
Pages 1-108 (December 2022)
-
Volume 70
Pages 1-106 (November 2022)
-
Volume 69
Pages 1-122 (October 2022)
-
Volume 68
Pages 1-124 (September 2022)
-
Volume 67
Pages 1-102 (August 2022)
-
Volume 66
Pages 1-112 (July 2022)
-
Volume 65
Pages 1-138 (June 2022)
-
Volume 64
Pages 1-186 (May 2022)
-
Volume 63
Pages 1-124 (April 2022)
-
Volume 62
Pages 1-104 (March 2022)
-
Volume 61
Pages 1-120 (February 2022)
-
Volume 60
Pages 1-124 (January 2022)
-
Volume 71
- Volumes 54-59 (2021)
- Volumes 48-53 (2020)
- Volumes 42-47 (2019)
- Volumes 36-41 (2018)
- Volumes 30-35 (2017)
- Volumes 24-29 (2016)
- Volumes 18-23 (2015)
- Volumes 12-17 (2014)
- Volume 11 (2013)
- Volume 10 (2012)
- Volume 9 (2011)
- Volume 8 (2010)
- Volume 7 (2009)
- Volume 6 (2008)
- Volume 5 (2007)
- Volume 4 (2006)
- Volume 3 (2005)
- Volume 2 (2004)
- Volume 1 (2003)
• A turbulent mass transfer model for simulation of CTFB is established.
• The model is validated by comparing predictions against experimental data.
• Influences of meso-structure and turbulence on CTFB performance are investigated.
• Advantages of CTFB both in hydrodynamics and mass transfer process are found.
The circulating turbulent fluidization and circulating turbulent fluidized bed (CTFB) have been proposed over the past two decades. It is believed that CTFB can overcome the disadvantages encountered in circulating fluidized bed (CFB) and turbulent fluidized bed (TFB), while combining their advantages, such as high solids circulation rates and high solids holdup. These characteristics are particularly favorable for reactions requiring continuous particle withdrawal and addition. However, accurate modeling and simulation of CTFB with reactive flow remain challenges primarily due to difficulties in capturing intrinsic meso-structures and the turbulent effects. In this study, a turbulent mass transfer model, namely the two-equation turbulent (TET) model, is proposed for the simulation of CTFB. The TET model integrates the energy minimization multiscale (EMMS)-based drag, the 𝑘 approach and the recently developed formulations to rigorously account for meso-structure and turbulent effects. With this model, the species concentration, phase temperature and velocity as well as solids volume fraction distributions can be obtained simultaneously. Satisfactory agreements between simulated results and experimental data are found (e.g., average absolute relative deviation between a typical simulation by the TET model and experiment on species concentration distributions is about 8.73 %). Such information would be helpful for the design and optimization of a new CTFB system or assessment of an existed one.