- Volumes 96-107 (2025)
-
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)
• Problems/limitations of scaling laws missing Ar number in the past were revealed.
• Simplified scaling laws with explicit Ar for mesoscale similarity were derived.
• Semi-spontaneous scaling with non-isothermal fluidizing gas shift was identified.
• Scaling down from hot CFB combustor to 1/20 cold model was demonstrated successfully.
• Macroscopic scaleup laws of two identities were derived for beds with same gas and particles.
Archimedes number (Ar) is the most important parameter characterizing the fluid-particle two-phase-flow system, which determines the ratio of terminal velocity of single particle to minimum gas velocity for fluidization, and then the possibility of two fluidized systems being similar in fast-fluidization flow-regime. After brief revisit of the scaling laws reported in literatures, the problem/limitations of missing Ar were revealed/identified. Starting from Glicksman's full set scaling laws, new simplified four identities scaling laws for mesoscale similarity were derived. They were confirmed, also, by the unified model for fast fluidization dynamics established by the present author and his co-workers. When the new criteria were applied for scaling-down a high-temperature CFB combustor to a cold-air model, about one tenth semi-spontaneous scaling for bed size was identified and declared. With this benefit, scaling down from a large CFB combustor, of 15 m in diameter, to a 1/20 cold model was demonstrated successfully. Further simplification was also conducted to the beds using same gas and particles for partial/macroscale similarity. With guidance of the unified model, the simplest scaling laws having two similitude identities were obtained. And this is coincident well with Qi and Zhu's empirical correlation, deduced from dozens more literature data sets and their own.
