Numerical Simulation of Micro Flow Field of Micro Injector

2011 ◽  
Vol 327 ◽  
pp. 61-65
Author(s):  
Li Li Mu ◽  
Ning Xue

In order to research the effects of digital micro droplet injected by the piezoelectric ceramic inertial driver, the calculation model of micro flow field of micro injector was established based on the VOF model of multiphase flow. The calculation selected the implicit segregated solver and the standard k-e model was used in turbulence of the micro-nozzle. The governing equation was separated in first order upwind, and solved by PISO algorithm. The flow pattern of the micro channel fluid and the dynamic evolution process of the micro droplet generation in the plus wave driving were researched.

2013 ◽  
Vol 864-867 ◽  
pp. 2027-2030
Author(s):  
Shan Shan Lu ◽  
Hua Li ◽  
Hui Chao Dai ◽  
Quan Lin Ding

Falling-sill bottom-flow dissipation is an important energy dissipater way, which has two fluent characteristics, spatial 3D hydraulic jump and submerge jet. But the turbulent motion is strong with a flow pattern of complex level. It is hard to detail the hydraulic characteristics and strength being inside of the plunge pool using physical experiments. However, numerical simulation can match the deficiency of physical model, which has the access to detail flow field hydraulic characteristics and provide a strong scientific basis on analyzing the hydrodynamic and hydraulic characteristics of plunge pool. In this paper, XJB project is taken for example, gas-liquid two-phase flow tracking the simulation free surface of VOF model was used. The RNG κ_ε turbulent motion model is adequate to simulate the 3D flow field in plunge pool. The result shows that the consequence of numerical simulation and physic test match well, which can reflect the plunge pool hydraulic characteristics and dissipation process accurately. The distribution of flow speed inside the plunge pool locates the position of main flow and reflects the velocity decay along the way and reflux flow vortex .


2014 ◽  
Vol 884-885 ◽  
pp. 378-381 ◽  
Author(s):  
Yue Hao Luo ◽  
Yu Fei Liu

It is well-known that sharkskin surface has the effect of inhibiting the occurrence of turbulence and reducing the wall resistance, however, the drag reduction mechanism has developed into an urgent problem to be resolved now. According to the actual circumstance, for purpose of obtaining the best drag-reducing efficiency, the biomimetic sharkskin micro-grooved surface is designed according to the relevant literatures and research achievements, and numerical simulation of the micro flow field on the biomimetic sharkskin surface is carried out comprehensivley, which has the important significance to explain the drag reduction mechanism.


2007 ◽  
Vol 23 (4) ◽  
pp. 353-358 ◽  
Author(s):  
M.-C. Wu ◽  
J.-S. Chang ◽  
K.-C. Wu ◽  
C.-H. Lin ◽  
C.-Y. Wu

ABSTRACTThis work focuses on studying the effect of flow velocity on microcantilever-based biosensor by numerical simulation. The microcantilever sensors used in detecting biomolecules have attractive advantages like cost efficiency, real-time and ability of fabricating in array. Both rectangular and triangular shapes of a general model of microcantilever beam are considered. Several important physical phenomena are obtained. Comparing with the first order Langmuir theory, we have calculated the effect on the reactive rate, produced concentration, the distribution of concentration and deflection in the z axis by solving these physical coupled problem involving flow field, concentration field and chemical reaction on the reaction surface. It is found numerically that the transportation of analyte, reactive rate, the distribution of concentration and deflection in the z axis are all effected by changing the flow velocity. The result has shown that flow velocity is an important factor for this biosensor.


Author(s):  
Chen Li ◽  
Qingduo Xu ◽  
Jiangqin Ge ◽  
Liming Guo ◽  
Shuang Wei

In this study, a calculation model was proposed to predict the motion locus of particles moving to a wall in boundary layers. The velocity of soft abrasive flow and the incident angle of the particles were obtained based on the results calculated by the mixture model and realizable k–ε model. After the model formed, the distributions of the dynamic pressure and the volume fraction of abrasive particles were analyzed and compared to experimental results. After analysis, it was found that the amount of removed material is positively correlated with the incident velocity and the volume fraction of abrasive particles, as well as the dynamic pressure on the surface of the workpiece. In addition, the comparison shows that the numerical simulation method is feasible to predict the flow field and effect of soft abrasive flow. In addition, it was found that the simulation results are consistent with the flow field distribution and machining effect. Therefore, this model can be used in design of constrained modules.


Processes ◽  
2019 ◽  
Vol 7 (9) ◽  
pp. 605 ◽  
Author(s):  
Si Huang ◽  
Yifeng Wei ◽  
Chenguang Guo ◽  
Wenming Kang

The open-source software OpenFOAM 5.0 was used as a platform to perform steady-state and transient numerical simulation for full flow field of a pipeline centrifugal pump (specific speed ns = 65) in a wide operating capacity range of 0.3Qd~1.4Qd. The standard k-ε and k-ω SST (Shear-Stress Transport) turbulence models were selected in the flow governing equations. The simpleFoam and pimpleDyMFoam solvers were used for the steady-state and transient calculations, respectively. ParaView, the postprocessor in OpenFOAM, was used to display the calculated flow velocity, pressure and streamline distributions, and to analyze the relationship between the vortex and the hydraulic loss in the pump. The external performance parameters of the pump such as head, input power and efficiency were also calculated based on the simulated flow fields. The predicted pump performances by OpenFOAM and Ansys-Fluent are compared with the test results under the same calculation model, grids and boundary conditions. The comparison indicates that OpenFOAM had high accuracy in the prediction of pump performance in the current case.


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