Micro Fluidic Platform for Manipulation of Micro- and Nanoscale Particles

2003 ◽  
Author(s):  
J. Kadaksham ◽  
J. Batton ◽  
P. Singh ◽  
N. Aubry
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Electric Field ◽  
Relative Magnitude ◽  
Living Cells ◽  
Particle Interactions ◽  
Mechanical Device ◽  
Dielectrophoretic Force ◽  
Nanoscale Particles ◽  
Computational Fluid Dynamics Cfd

In this paper, we study the manipulation and immobilization of micro- and nano-sized particles, such as living cells, suspended in a liquid. Our technique focuses on dielectrophoresis, that is, the use of spatially nonuniform electric field, while not damaging the manipulated particles or cells. The small size of the particles considered here requires the use of micro-electro-mechanical device (MEMS). We first simulate the suspended system by means of our new computational fluid dynamics (CFD) tool based on the distributed Lagrange Multiplier method (DLM), which takes into account not only fluid-particle but also particle-particle interactions. Results for both positive and negative dielectrophoresis are presented. We also show the existence of various regimes for the particle structures depending on the relative magnitude of the dielectrophoretic force and the electrostatic particle-particle interactions. We then design, fabricate and test a MEMS platform containing several microdevices.

Modeling of Coal-Biomass Fluidization Using Computational Fluid Dynamics

2013 ◽  
Author(s):  
Bahareh Estejab ◽  
Francine Battaglia
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Hybrid Poplar ◽  
Particle Interactions ◽  
Particle Mixing ◽  
Bed Height ◽  
Wood Particles ◽  
Computational Fluid Dynamics Cfd ◽  
Computational Platform

In an effort to assess the fluidization characteristics of coal-biomass mixtures, computational fluid dynamics (CFD) was used and validated. The gas and solids phases were modeled using an Eulerian-Eulerian approach to efficiently simulate the physics. The computational platform Multiphase Flow with Interphase eXchanges (MFIX) was employed to simulate the particle-particle interactions of coal-biomass mixtures and compare the predictions with experimental data. The coal-biomass mixtures included sub-bituminous coal and hybrid poplar wood. Particles properties of both materials fall within the Geldart A classification. Of particular interest to this study was predicting particle mixing in fluidized beds and biomass hydrodynamics. Both materials and two mass ratio mixtures were studied and pressure drop across the bed for various gas inlet velocities and bed height were analyzed and compared to the experiments.

scholarly journals Deciding the Effective Position of Fuel Injector using Cfd

2019 ◽  
Vol 8 (6) ◽  
pp. 1788-1792
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Fluid Flow ◽  
Physical Properties ◽  
Thermal Design ◽  
Fuel Injector ◽  
Mechanical Device ◽  
Flow Rates ◽  
Computational Fluid Dynamics Cfd ◽  
Made In

We are going to test the fluid flow of fuel injector by the process of computational fluid dynamics (CFD). Fluid separator is a mechanical device which helps two or more fluid to separate from a mixture. Fluid separator has its application in many pharmaceutical and automobile industries. Fluid separator had made the most promising device in the industry. Most of the modification has been made in the design of the fuel injector with respect to geometry and thermal design. In a CFD, the examination of fluid flow in accordance with its physical properties such as velocity, temperature, density and viscosity are obtained. The study shows the best performance of fuel injector with respect to shape and flow rates. The purpose of this report is to corelate various design of injector in the industry. In this Paper we can find out the effective position of the fuel injector using CFD.

Efficiency prediction for storage chambers using computational fluid dynamics

1996 ◽  
Vol 33 (9) ◽  
pp. 163-170 ◽  
Author(s):  
Virginia R. Stovin ◽  
Adrian J. Saul
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Shear Stress ◽  
Particle Tracking ◽  
Critical Value ◽  
Complex Geometries ◽  
Bed Shear Stress ◽  
Breadth Ratio ◽  
Computational Fluid Dynamics Cfd ◽  
Simulated Flow

Research was undertaken in order to identify possible methodologies for the prediction of sedimentation in storage chambers based on computational fluid dynamics (CFD). The Fluent CFD software was used to establish a numerical model of the flow field, on which further analysis was undertaken. Sedimentation was estimated from the simulated flow fields by two different methods. The first approach used the simulation to predict the bed shear stress distribution, with deposition being assumed for areas where the bed shear stress fell below a critical value (τcd). The value of τcd had previously been determined in the laboratory. Efficiency was then calculated as a function of the proportion of the chamber bed for which deposition had been predicted. The second method used the particle tracking facility in Fluent and efficiency was calculated from the proportion of particles that remained within the chamber. The results from the two techniques for efficiency are compared to data collected in a laboratory chamber. Three further simulations were then undertaken in order to investigate the influence of length to breadth ratio on chamber performance. The methodology presented here could be applied to complex geometries and full scale installations.

Improvement of real-scale raceway bioreactors for microalgae production using Computational Fluid Dynamics (CFD)

2021 ◽  
Vol 54 ◽  
pp. 102207
Author(s):  
Cristian Inostroza ◽  
Alessandro Solimeno ◽  
Joan García ◽  
José M. Fernández-Sevilla ◽  
F. Gabriel Acién
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Computational Fluid Dynamics Cfd ◽  
Real Scale

scholarly journals Design of Novel Flash Ironmaking Reactors for Greatly Reduced Energy Consumption and CO2 Emissions

Metals ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 332
Author(s):  
Hong Yong Sohn ◽  
De-Qiu Fan ◽  
Amr Abdelghany
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Large Diameter ◽  
Reduction Reaction ◽  
The Novel ◽  
Height Ratio ◽  
Fine Iron ◽  
Computational Fluid Dynamics Cfd ◽  
High Reduction ◽  
Iron Ore Concentrate

The development of a novel ironmaking technology based on fine iron ore concentrate in a flash reactor is summarized. The design of potential industrial reactors for flash ironmaking based on the computational fluid dynamics technique is described. Overall, this simulation work has shown that the size of the reactor used in the novel flash ironmaking technology (FIT) can be quite reasonable vis-à-vis the blast furnaces. A flash reactor of 12 m diameter and 35 m height with a single burner operating at atmospheric pressure would produce 1.0 million tons of iron per year. The height can be further reduced by either using multiple burners, preheating the feed gas, or both. The computational fluid dynamics (CFD)-based design of potential industrial reactors for flash ironmaking pointed to a number of features that should be incorporated. The flow field should be designed in such a way that a larger portion of the reactor is used for the reduction reaction but at the same time excessive collision of particles with the wall must be avoided. Further, a large diameter-to-height ratio that still allows a high reduction degree should be used from the viewpoint of decreased heat loss. This may require the incorporation of multiple burners and solid feeding ports.

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