- Volumes 84-95 (2024)
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Volumes 72-83 (2023)
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Volume 83
Pages 1-258 (December 2023)
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Volume 82
Pages 1-204 (November 2023)
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Volume 81
Pages 1-188 (October 2023)
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Volume 80
Pages 1-202 (September 2023)
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Volume 79
Pages 1-172 (August 2023)
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Volume 78
Pages 1-146 (July 2023)
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Volume 77
Pages 1-152 (June 2023)
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Volume 76
Pages 1-176 (May 2023)
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Volume 75
Pages 1-228 (April 2023)
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Volume 74
Pages 1-200 (March 2023)
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Volume 73
Pages 1-138 (February 2023)
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Volume 72
Pages 1-144 (January 2023)
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Volume 83
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Volumes 60-71 (2022)
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Volume 71
Pages 1-108 (December 2022)
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Volume 70
Pages 1-106 (November 2022)
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Volume 69
Pages 1-122 (October 2022)
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Volume 68
Pages 1-124 (September 2022)
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Volume 67
Pages 1-102 (August 2022)
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Volume 66
Pages 1-112 (July 2022)
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Volume 65
Pages 1-138 (June 2022)
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Volume 64
Pages 1-186 (May 2022)
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Volume 63
Pages 1-124 (April 2022)
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Volume 62
Pages 1-104 (March 2022)
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Volume 61
Pages 1-120 (February 2022)
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Volume 60
Pages 1-124 (January 2022)
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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)
• Effects of the Reynolds number and Darcy number investigated.
• Lattice Boltzmann method used to solve generalized macroscopic governing equations.
• Correlations for drag coefficient and surface-averaged Nusselt number established.
Porous particle flow is universal in nature and industry. However, in previous numerical simulations, porous particles have usually been assumed to be solid. It is necessary to study the flow and heat-transfer characteristics around porous particles because they are greatly different from those of impermeable particles. In this study, two-dimensional steady flow and heat transfer around and through a porous particle with a constant temperature placed in a cold fluid were numerically investigated. The effects of the Reynolds number (Re) and Darcy number (Da) on the flow and heat-transfer characteristics were investigated in detail. The investigated ranges of the parameters were 10 ≤ Re ≤ 40 and 10−6 ≤ Da ≤ 10−2. It is sophisticated to simulate porous particles with traditional simulation methods because of their complicated structure. Therefore, the lattice Boltzmann method was used to solve the generalized macroscopic governing equations because of its simplicity. The drag coefficient decreased with increasing Re or Da, but the decrease was not prominent in the range 10−6 ≤ Da ≤ 10−4. The heat-transfer efficiency of the front surface was much stronger than that of the rear surface. The heat-transfer efficiency between the particle and the fluid increased with increasing Re or Da. However, for 10−6 ≤ Da ≤ 10−4, the increase was not prominent and the heat-transfer enhancement ratio was slightly larger than one. Furthermore, the effect of Da became more prominent at larger Re. In addition, new correlations for the drag coefficient and surface-averaged Nusselt number were obtained based on the simulated results.