| Issue |
E3S Web Conf.
Volume 625, 2025
5th International Conference on Environment Resources and Energy Engineering (ICEREE 2025)
|
|
|---|---|---|
| Article Number | 02018 | |
| Number of page(s) | 4 | |
| Section | Environmental Pollution Control and Ecological Restoration | |
| DOI | https://doi.org/10.1051/e3sconf/202562502018 | |
| Published online | 17 April 2025 | |
Effect of dust particle distribution characteristics on the flow and heat transfer performance of parallel-plates flow channel
1 Foshan Shunhong Mechanical and Electrical Engineering Co., Ltd, 528000, Foshan, China
2 Liang Jiaoju Vocational and Technical School, 528000, Foshan, China
3 Shiqi Town Haibang Primary School, 510000, Guangzhou, China
4 Zheng Jingyi Vocational Technical School, 528000, Foshan, China
5 Shunde Polytechnic, 528000, Foshan, China
* Corresponding author: shjd13825577536@163.com
The fluid flow and heat transfer of the particle-laden flow in pipes is a common phenomenon in the industrial field. In previous studies, many studies have focused on studying particle migration and deposition behavior through experimental measurements and numerical simulations. However, the influence of particle distribution characteristics on the flow and heat transfer characteristics of the flow is often ignored. In this study, a numerical simulation was used to study the flow and heat transfer characteristics of dust-containing gas in the parallel-plates channel. The products of fRe, local Nussel number (NuL), and average Nussell number (Nuavg) were used to characterize the flow and heat transfer properties, respectively. As the particle volume increases, the fRe increases while the Nuavg first increases and then decreases. In addition, the effects of the particle size and flow velocity were calculated, and it was found that large particles and low velocity show a more pronounced effect on flow and heat transfer performance.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.