Heat transfer efficiency in gas-solid fluidized beds with flat and corrugated walls.

IF 1 Q4 ENGINEERING, CHEMICAL Chemical Product and Process Modeling Pub Date : 2024-09-17 eCollection Date: 2024-10-01 DOI:10.1515/cppm-2024-0038
Alam Nawaz Khan Wardag, Faïçal Larachi
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Abstract

Gas-solid fluidized bed reactors exhibit improved heat and mass transfer performance as compared to packed beds. Corrugated walls installed in narrow gas-solid bubbling fluidized bed (CWBFB) enclosures have been observed to decrease minimum bubbling velocity, reduce bubble size, improve gas distribution, provide stable operation, and minimize particle carryover or loss. Thorough analyses of the wall-to-bed heat transfer coefficient in flat- (FWBFB) and corrugated- (CWBFB) wall bubbling fluidized beds have been performed for a variety of operating conditions and geometric parameters. Fast-response self-adhesive heat flux probes and thermocouples were used to simultaneously measure the wall-to-bed heat flux, surface and bed temperatures, and were used to determine the heat transfer coefficient (HTC) at various axial and lateral locations. For a given set of parameters, a significant increase in HTC was observed at lower gas flow rates in CWBFB as compared to FWBFB. It was shown that CWBFB inventory required lower U mb (gas flow rate) as compared to FWBFB. Full 3-D transient Euler-Euler CFD simulations using the kinetic theory of granular flow were also performed, which confirmed the experimental results.

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平壁和波纹壁气固流化床的传热效率
与填料床相比,气固流化床反应器具有更好的传热和传质性能。据观察,在狭窄的气固鼓泡流化床(CWBFB)外壳中安装波纹壁可降低最小鼓泡速度、减小气泡尺寸、改善气体分布、提供稳定的运行以及最大限度地减少颗粒携带或损失。针对各种运行条件和几何参数,对平壁(FWBFB)和波纹壁(CWBFB)鼓泡流化床的壁到床传热系数进行了深入分析。快速反应自粘性热通量探头和热电偶用于同时测量壁面到床层的热通量、表面和床层温度,并用于确定不同轴向和侧向位置的传热系数(HTC)。对于一组给定的参数,与 FWBFB 相比,CWBFB 在较低气体流速下的 HTC 显著增加。结果表明,与 FWBFB 相比,CWBFB 清单需要更低的 U mb(气体流速)。还利用颗粒流动动力学理论进行了全三维瞬态欧拉-欧拉 CFD 模拟,证实了实验结果。
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来源期刊
Chemical Product and Process Modeling
Chemical Product and Process Modeling ENGINEERING, CHEMICAL-
CiteScore
2.10
自引率
11.10%
发文量
27
期刊介绍: Chemical Product and Process Modeling (CPPM) is a quarterly journal that publishes theoretical and applied research on product and process design modeling, simulation and optimization. Thanks to its international editorial board, the journal assembles the best papers from around the world on to cover the gap between product and process. The journal brings together chemical and process engineering researchers, practitioners, and software developers in a new forum for the international modeling and simulation community. Topics: equation oriented and modular simulation optimization technology for process and materials design, new modeling techniques shortcut modeling and design approaches performance of commercial and in-house simulation and optimization tools challenges faced in industrial product and process simulation and optimization computational fluid dynamics environmental process, food and pharmaceutical modeling topics drawn from the substantial areas of overlap between modeling and mathematics applied to chemical products and processes.
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