The extended discrete element method (XDEM) multi-physics and multi-scale simulation platform is being developed at the Institute of Computational Engineering, the University of Luxembourg. The platform is an advanced...The extended discrete element method (XDEM) multi-physics and multi-scale simulation platform is being developed at the Institute of Computational Engineering, the University of Luxembourg. The platform is an advanced multi-physics simulation technology that combines flexibility and versatility to establish the next generation of multi-physics and multi-scale simulation tools. For this purpose, the simulation framework relies on coupling various predictive tools based on an Eulerian and Lagrangian approach. The Euleria n approach represents the wide field of con tinuum models;the Lagra ngian approach is perfect for characterising discrete phases. Continuum models thus include classical simulation tools, such as computational fluid dynamics simulation and finite element analysis, while an extended configuration of the classical discrete element method addresses the discrete (e.g., particulate) phase. Apart from predicting the trajectories of in dividual particles, XDEM-suite extends the application of the XDEM to estimating the thermodynamic state of each particle using advanced and optimised algorithms. The thermodynamic state may include temperature and species distributions due to chemical reaction and external heat sources. Hence, coupling these extended features with either computational fluid dynamics simulation or finite element analysis opens a wide range of applications as diverse as pharmaceuticals, agriculture, food processing, mining, construction and agricultural machinery, metals manufacturing, energy production and systems biology.展开更多
针对深水网箱自动投饵系统颗粒饲料气力输送时易阻塞与破损的问题,为揭示自动投饵系统中颗粒饲料的气力输送运动特性,开展了管道颗粒饲料气固两相流的数值模拟研究。基于气固两相流理论,分别建立了计算流体模型与离散元模型,通过计算流...针对深水网箱自动投饵系统颗粒饲料气力输送时易阻塞与破损的问题,为揭示自动投饵系统中颗粒饲料的气力输送运动特性,开展了管道颗粒饲料气固两相流的数值模拟研究。基于气固两相流理论,分别建立了计算流体模型与离散元模型,通过计算流体力学与离散单元法(computational fluid dynamics-discrete element method,CFD-EDM)耦合求解,对饲料颗粒从气力输送管道初始阶段到稳定阶段的运动过程进行了分析,得到颗粒从初始状态到运动稳定阶段的颗粒位置分布情况。对不同位置管道内压力进行了分析对比,得到从管道入口到颗粒运动稳定状态时刻的压降。模拟仿真结果为自动投饵装备的模拟仿真与优化设计提供了参考,使其可以对饲料颗粒运动有更好的导向性,更好地降低弯管处颗粒碰撞的能量损失。展开更多
Suffusion in broadly graded granular soils is caused by fluid flow and is a typical cause of geo-hazards.Previous studies of it have mainly focused on suffusion in homogeneous soil specimens.In this study,the coupled ...Suffusion in broadly graded granular soils is caused by fluid flow and is a typical cause of geo-hazards.Previous studies of it have mainly focused on suffusion in homogeneous soil specimens.In this study,the coupled discrete element method(DEM)and computational fluid dynamics(CFD)approach is adopted to model suffusion in multi-layered soils with different fines contents,and soils with one or more impermeable zones.The parameters of the CFD-DEM model are first calibrated with the classic Ergun test and a good match with experiment is obtained.Then suffusion in multi-layered soils with different fines contents and impermeable zones is simulated and discussed.The simulation results show that,for soils with multiple layers,the cumulative eroded mass is mainly determined by the fines content of the bottom layer.In general,the higher the fines content of the bottom soil layer,the higher the cumulative eroded mass.In addition,suffusion is more severe if the fines content of the layer above is decreased.Impermeable zones inside soil specimens can increase the flow velocity around those zones,facilitating the migration of fine particles and intensifying suffusion.展开更多
Modeling has become phenomenal in developing new products.In the case of filters,one of the mos applied procedures is via the construction of idealized physical computational models bearing close semblance to real fil...Modeling has become phenomenal in developing new products.In the case of filters,one of the mos applied procedures is via the construction of idealized physical computational models bearing close semblance to real filter media.It is upon these that multi-physics tools were applied to analvze the fow of fuid and the resulting typical performance parameters.In this work,two 3D filter membranes were constructed with MATLAB:one had a random distribution of unimodal nanofibers,and the other,a novel modification,formed.a bimodal distribution:both of them had similar dimensions and solid volume fractions.A comparison of their performance in a dust-loading environment was made by using computational fluid dynamic-discrete elemen method(CED-DEM)coupling technique in STAR-CCM+.It was found that the bimodal nanofiber membrane greatly improved the particle capture efficiencv.Whereas this increased the pressure drop,the gain was not toosignificant.Thus.overall,the results of the figure of merit ptoved that adopting a bimodal formation improved the filter's quality.展开更多
Particle separation from gases is an important unit operation in manifold industrial applications,such as those conducted in environmental protection.For analysis of particle penetration and separation in fiber filter...Particle separation from gases is an important unit operation in manifold industrial applications,such as those conducted in environmental protection.For analysis of particle penetration and separation in fiber filters,standard dust particles (Al2O3)were loaded in the gas flow of a filter test facility and deposited within new and uncharged fiber filters.The loaded filters were analyzed by micro-computer tomography and scanning electron microscopy.Three-dimensional tomograms of the samples show an exponential decay of the penetration depth of the particles.This dependency is confirmed by simulations conducted using the discrete element method coupled with computational fluid dynamics within unloaded and loaded fiber structures.Microscale processes of particle separation at the fibers as well as the filtration efficiency and time-dependent filtering process are derived from the simuiations.Local particle clustering in the filter medium and partial filter clogging are thus identified.展开更多
文摘The extended discrete element method (XDEM) multi-physics and multi-scale simulation platform is being developed at the Institute of Computational Engineering, the University of Luxembourg. The platform is an advanced multi-physics simulation technology that combines flexibility and versatility to establish the next generation of multi-physics and multi-scale simulation tools. For this purpose, the simulation framework relies on coupling various predictive tools based on an Eulerian and Lagrangian approach. The Euleria n approach represents the wide field of con tinuum models;the Lagra ngian approach is perfect for characterising discrete phases. Continuum models thus include classical simulation tools, such as computational fluid dynamics simulation and finite element analysis, while an extended configuration of the classical discrete element method addresses the discrete (e.g., particulate) phase. Apart from predicting the trajectories of in dividual particles, XDEM-suite extends the application of the XDEM to estimating the thermodynamic state of each particle using advanced and optimised algorithms. The thermodynamic state may include temperature and species distributions due to chemical reaction and external heat sources. Hence, coupling these extended features with either computational fluid dynamics simulation or finite element analysis opens a wide range of applications as diverse as pharmaceuticals, agriculture, food processing, mining, construction and agricultural machinery, metals manufacturing, energy production and systems biology.
文摘针对深水网箱自动投饵系统颗粒饲料气力输送时易阻塞与破损的问题,为揭示自动投饵系统中颗粒饲料的气力输送运动特性,开展了管道颗粒饲料气固两相流的数值模拟研究。基于气固两相流理论,分别建立了计算流体模型与离散元模型,通过计算流体力学与离散单元法(computational fluid dynamics-discrete element method,CFD-EDM)耦合求解,对饲料颗粒从气力输送管道初始阶段到稳定阶段的运动过程进行了分析,得到颗粒从初始状态到运动稳定阶段的颗粒位置分布情况。对不同位置管道内压力进行了分析对比,得到从管道入口到颗粒运动稳定状态时刻的压降。模拟仿真结果为自动投饵装备的模拟仿真与优化设计提供了参考,使其可以对饲料颗粒运动有更好的导向性,更好地降低弯管处颗粒碰撞的能量损失。
基金This work is supported by the Research Grants Council(RGC)of Hong Kong(No.15226322)the National Natu‐ral Science Foundation of China(No.42207210).
文摘Suffusion in broadly graded granular soils is caused by fluid flow and is a typical cause of geo-hazards.Previous studies of it have mainly focused on suffusion in homogeneous soil specimens.In this study,the coupled discrete element method(DEM)and computational fluid dynamics(CFD)approach is adopted to model suffusion in multi-layered soils with different fines contents,and soils with one or more impermeable zones.The parameters of the CFD-DEM model are first calibrated with the classic Ergun test and a good match with experiment is obtained.Then suffusion in multi-layered soils with different fines contents and impermeable zones is simulated and discussed.The simulation results show that,for soils with multiple layers,the cumulative eroded mass is mainly determined by the fines content of the bottom layer.In general,the higher the fines content of the bottom soil layer,the higher the cumulative eroded mass.In addition,suffusion is more severe if the fines content of the layer above is decreased.Impermeable zones inside soil specimens can increase the flow velocity around those zones,facilitating the migration of fine particles and intensifying suffusion.
基金the Chang Jiang Youth Scholars Program of China(No.51773037)the National Natural Science Foundation of China(Nos.51803023 and 61771123)+2 种基金the Shanghai Sailing Program(No.18YF1400400)the China Postdoctoral Science Foundation(No.2018M640317)the Fundamental Hesearch Funds for the Central Universities(No.2232018A3-11)。
文摘Modeling has become phenomenal in developing new products.In the case of filters,one of the mos applied procedures is via the construction of idealized physical computational models bearing close semblance to real filter media.It is upon these that multi-physics tools were applied to analvze the fow of fuid and the resulting typical performance parameters.In this work,two 3D filter membranes were constructed with MATLAB:one had a random distribution of unimodal nanofibers,and the other,a novel modification,formed.a bimodal distribution:both of them had similar dimensions and solid volume fractions.A comparison of their performance in a dust-loading environment was made by using computational fluid dynamic-discrete elemen method(CED-DEM)coupling technique in STAR-CCM+.It was found that the bimodal nanofiber membrane greatly improved the particle capture efficiencv.Whereas this increased the pressure drop,the gain was not toosignificant.Thus.overall,the results of the figure of merit ptoved that adopting a bimodal formation improved the filter's quality.
文摘Particle separation from gases is an important unit operation in manifold industrial applications,such as those conducted in environmental protection.For analysis of particle penetration and separation in fiber filters,standard dust particles (Al2O3)were loaded in the gas flow of a filter test facility and deposited within new and uncharged fiber filters.The loaded filters were analyzed by micro-computer tomography and scanning electron microscopy.Three-dimensional tomograms of the samples show an exponential decay of the penetration depth of the particles.This dependency is confirmed by simulations conducted using the discrete element method coupled with computational fluid dynamics within unloaded and loaded fiber structures.Microscale processes of particle separation at the fibers as well as the filtration efficiency and time-dependent filtering process are derived from the simuiations.Local particle clustering in the filter medium and partial filter clogging are thus identified.
