CFD modelling of velocity fields around a fume cupboard: Evaluating static and dynamic meshes with experimental measurements

IF 2.5 3区 工程技术 Q2 MECHANICS
A. Manning , L. Qian , R. Erfani
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引用次数: 0

Abstract

This paper presents a comparison of experimental and numerical modelling results of the velocity field around a fume cupboard with a static and a dynamic mesh. During fume cupboard testing, components are required to move which mimic typical operating conditions, the amount of tracer gas released is then measured. This tracer gas is harmful to the environment and so an alternative is required. Advanced Computational Fluid Dynamics (CFD) techniques, such as dynamic meshing, have been utilised to replicate aspects of the current tests. The fume cupboard was tested in normal operating conditions and under the influence of a board inducing a wake close to the fume cupboard entrance. The velocity fields have been compared and show a reasonable level of accuracy with a percentage difference between experimental and simulated results of around 5% using both a static and a dynamic domain. This is an improvement on the 15–20% accuracy for detecting concentration of tracer gas using previous experimental methods. The aim of this work is to satisfy the scientific community and fume cupboard operators that CFD is sufficiently accurate to assess fume cupboard performance under real world scenarios.

对通风柜周围的速度场进行 CFD 建模:利用实验测量结果评估静态和动态网格
本文比较了采用静态和动态网格的通风柜周围速度场的实验和数值建模结果。在通风柜测试过程中,需要模拟典型工作条件移动部件,然后测量释放的示踪气体量。这种示踪气体对环境有害,因此需要一种替代方法。先进的计算流体动力学(CFD)技术,如动态网格划分,已被用来复制当前测试的各个方面。在正常工作条件下,以及在靠近通风柜入口处的一块板产生尾流的情况下,对通风柜进行了测试。对速度场进行了比较,结果表明其精确度达到了合理的水平,使用静态和动态域,实验结果和模拟结果之间的百分比差异约为 5%。这比以前使用实验方法检测示踪气体浓度时 15-20% 的精度有所提高。这项工作的目的是让科学界和通风柜操作人员相信,CFD 在评估真实情况下的通风柜性能方面具有足够的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.90
自引率
3.80%
发文量
127
审稿时长
58 days
期刊介绍: The European Journal of Mechanics - B/Fluids publishes papers in all fields of fluid mechanics. Although investigations in well-established areas are within the scope of the journal, recent developments and innovative ideas are particularly welcome. Theoretical, computational and experimental papers are equally welcome. Mathematical methods, be they deterministic or stochastic, analytical or numerical, will be accepted provided they serve to clarify some identifiable problems in fluid mechanics, and provided the significance of results is explained. Similarly, experimental papers must add physical insight in to the understanding of fluid mechanics.
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