Journal
CHEMICAL ENGINEERING SCIENCE
Volume 239, Issue -, Pages -Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ces.2021.116645
Keywords
Bidisperse; Gas-solid systems; Heat transfer; Immersed boundary-lattice Boltzmann; method; Nusselt number
Categories
Funding
- National Natural Science Foundation of China [22078255, 21978228, 52006172]
- Shaanxi Creative Talents Promotion Plan-Technological Innovation Team [2019TD-039]
- Fundamental Research Funds For the Central Universities (Creative Team Plan in Xi'an Jiaotong University) [cxtd2017004]
Ask authors/readers for more resources
The study investigated the flow and heat transfer in bidisperse gas-solid systems with particle diameter ratios from 1:2 to 1:4. It was found that the overall Nusselt number can be predicted well using an appropriate equivalent diameter, and a correction to the monodisperse heat transfer correlations yielded an accurate model to predict Nusselt number for each species.
The flow and heat transfer in bidisperse gas-solid systems with particle diameter ratio ranging from 1:2 to 1:4 have been numerically investigated via an immersed boundary-lattice Boltzmann method. The modeling for the overall Nusselt number (Nu) is pursued. The results show that the overall Nu obtained from the simulation results can be predicted well using the monodisperse correlations by defining an appropriate equivalent diameter. An accurate model to predict Nu for each species is formulated through a correction to the monodisperse heat transfer correlations. Since the relative solid volume fraction ratio of large-to-small spheres has marginal influence on Nu for each species, the correction term is only closed as a function of the total solid volume fraction and scaled particle diameter. The predictability of the model is evaluated. The results demonstrate that the model can give more accurate estimations for Nu of each species. (c) 2021 Elsevier Ltd. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available