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Application of dissipative particle dynamics to natural convection in differentially heated enclosures

机译:耗散粒子动力学在差温加热箱体自然对流中的应用

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Dissipative particle dynamics with energy conservation (eDPD) was applied to study natural convection in differentially heated enclosures. The eDPD simulations were compared to finite volume (FV) solutions. It was found that the eDPD method appropriately predicts the temperature and flow fields inside the enclosure. The eDPD model was able to recover the basic features of natural convection in differentially heated enclosures, such as prediction of thermal boundary layers, prediction of the size and shape of the natural convection circulation cell (as a function of Rayleigh number) and breaking up of this circulation cell at higher Rayleigh numbers. The results were presented via temperature isotherms, streamlines, velocity contours, velocity vector plots, and temperature and velocity profiles throughout the enclosure. Complete details of eDPD implantations were presented. Further useful engineering quantities, such as Nusselt number, were calculated from the eDPD results and were found to be in good agreement with the volume FV calculations.View full textDownload full textKeywordsdissipative particle dynamics, dissipative particle dynamics with energy conservation, natural convection, differentially heated enclosures, boundary conditionsRelated var addthis_config = { ui_cobrand: "Taylor & Francis Online", services_compact: "citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,more", pubid: "ra-4dff56cd6bb1830b" }; Add to shortlist Link Permalink http://dx.doi.org/10.1080/08927022.2010.533272
机译:具有能量守恒的耗散粒子动力学(eDPD)被用于研究差热外壳中的自然对流。将eDPD模拟与有限体积(FV)解决方案进行了比较。已经发现,eDPD方法可以正确预测外壳内部的温度和流场。 eDPD模型能够恢复差温加热箱体中自然对流的基本特征,例如预测热边界层,预测自然对流循环池的尺寸和形状(作为瑞利数的函数)以及分解这个循环池的瑞利数更高。通过温度等温线,流线,速度等高线,速度矢量图以及整个外壳的温度和速度分布图展示了结果。介绍了eDPD植入的完整细节。根据eDPD结果计算出了更多有用的工程量,例如Nusselt数,发现与体积FV计算值非常吻合。查看全文下载全文关键词耗散粒子动力学,具有节能功能的耗散粒子动力学,自然对流,差温加热附件,边界条件相关var addthis_config = {ui_cobrand:“泰勒和弗朗西斯在线”,servicescompact:“ citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,更多”,发布:“ ra-4dff56cd6bb1830b” };添加到候选列表链接永久链接http://dx.doi.org/10.1080/08927022.2010.533272

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