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A Lattice Boltzmann Model for Non-Equilibrium Flows in Micro/Nano-systems

A Lattice Boltzmann Model for Non-Equilibrium Flows in Micro/Nano-systems
微纳系统中非平衡流动的格子玻尔兹曼模型
批准号:
EP/D07455X/1
负责人:
David Emerson
金额:
$33.27万
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2007
资助国家:
英国
项目状态:
已结题
起止时间:
2007 至 --

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中文摘要
翻译
近十年来,微纳机电系统和微全分析系统技术得到了迅速发展。这些小型化的系统有可能显著提高化学、生物和临床分析的产率,并将显著减少处理时间和试剂消耗。然而,在预测依赖于操纵气流的设备的性能方面存在一个主要问题。当气体分子的平均自由程与这些微/纳米体系的特征尺寸相当时,Navier-Stokes方程所依赖的热力学准平衡假设是不合适的。本研究旨在探索能否建立一种介观格子Boltzmann方程(LBE)方法来预测具有0.1-1000微米特征长度尺度的系统中的非平衡气体动力学,在下文中我们将其称为微/纳米系统。我们将根据已发表的各种流动形态下的观测结果和中银爱德华兹提供的实验数据,对我们的LBE模型进行测试。如果成功,这项研究的结果将有助于开发一种有效的模拟能力,在工业相关的微/纳米系统几何形状的气体流动。
英文摘要
The technology of Micro/Nano-Electro-Mechanical Systems and Micro-Total-Analysis Systems has developed rapidly in the last decade. These miniaturised systems offer the potential to increase yields significantly in chemical, biological and clinical analyses and will lead to significant reductions in process time and reagent consumption. However, there is a major problem in predicting the performance of devices that depend on manipulating gas flows. The thermodynamic quasi-equilibrium hypothesis, on which the Navier-Stokes equations depend, is inappropriate when the mean free path of the gas molecules is comparable to the characteristic dimension of these micro/nano-systems. This research aims to explore whether a mesoscopic lattice Boltzmann equation (LBE) methodology can be established that can predictively model the non-equilibrium gas dynamics in a system with a characteristic length scale between 0.1-1000 microns, which we refer to as a micro/nano-system in the following sections. We will test our LBE model against published observations in a variety of flow configurations and with experimental data provided by BOC Edwards. If successful, the outcomes of this research would contribute to the development of an efficient simulation capability for gas flows in industrially-relevant micro/nano-system geometries.
期刊论文(7)
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科研奖励(0)
会议论文
DOI: 10.1016/j.jcp.2010.10.023
发表时间: 2009-08
期刊: J. Comput. Phys.
影响因子: --
作者: [J. Meng;Yonghao Zhang]
通讯作者: J. Meng;Yonghao Zhang
DOI: 10.1209/0295-5075/83/40008
发表时间: 2008-08
期刊: EPL (Europhysics Letters)
影响因子: --
作者: [G. Tang;Y. H. Zhang;X. Gu;D. Emerson]
通讯作者: G. Tang;Y. H. Zhang;X. Gu;D. Emerson
DOI: 10.1166/jctn.2009.1263
发表时间: 2009-10
期刊: Journal of Computational and Theoretical Nanoscience
影响因子: --
作者: [J. Reese;Yonghao Zhang]
通讯作者: J. Reese;Yonghao Zhang
NNA: Collaborative Research: Interactions of the Microbial Iron and Methane Cycles in the Tundra Ecosystem
A holistic framework for hybrid modelling of solid-liquid flows
Collaborative Research: The Role of Iron-oxidizing Bacteria in the Sedimentary Iron Cycle: Ecological, Physiological and Biogeochemical Implications
HIGH PERFORMANCE COMPUTING SUPPORT FOR UNITED KINGDOM CONSORTIUM ON TURBULENT REACTING FLOWS (UKCTRF)
国内基金
海外基金
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