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CFD modelling is used to study hydrodynamic and thermal conditions near surfaces with different patterns.
Modeling CFD Model.
CFD simulations of the pattern C showed that fouling seems to be reduced at the convex areas of the studied surface pattern due to increased shear forces and lowered surface temperature.
In addition, numerical simulation of particulate resuspension showed that removal from the pattern C is more efficient.
Therefore, the reduced fouling rate seen in the experimental results of the pattern C may be explained by the simulation results.

Simulation Methodology In this paper, the relatively simple and low computational cost two dimensional, CFD-based FSW model, originally developed by Seidel [2] and further modified by Long and Reynolds [3] has been used to perform parametric studies.
The commercial computational fluid dynamics (CFD) code, FLUENT[4], was used to develop the FSW process model.
A critical aspect of using CFD to simulate deformation of a solid is to develop a reasonable viscosity formulation.
It is interesting to note that other CFD simulations that do not incorporate a rapid flow stress drop at some critical temperature do not capture this behavior.[7] Summary and Concluding Remarks The simulation results presented here indicate that a simple, 2-D, fluid mechanics based model can provide useful insight regarding several trends in FSW process parameters and base Figure 3.
"Parametric Studies of Friction Stir Welding via CFD Simulation", T.

Temperature Analysis in Durability Test of the Viscous Damper Wang weining 1, a, Yan Weiming 1,b , Chen Yanjiang 1,c 1 School of Architecture and Civil Engineering, Beijing University of Technology, 100124, Beijing, China awangvn@hotmail.com, byanwm@bjut.edu.cn, acyjrlx@sina.com Keywords: Viscous Damper; Oil film; CFD Thermal; Temperature; Abstract.
In order to avoid the overheating generated by long working hours, which resulting in a viscous liquid water evaporation and leading to a abrupt increase in internal pressure inside the cylinder, the CFD software Fluent was used to simulate the durability test process of the oil film, where the heat was easy to generate and suggestion for improving the viscous damper was proposed.
Numerical Simulation Analyses As above mentioned, heat generated in cylinder and consumed mainly through viscous dissipation and internal friction.
On the basis of above analysis, CFD software Fluent was used to simulate the heat generation process and location in damper and determinate the key factors leading to elevation of the cylinder temperature.
Fig.3 Location Diagram of the Simulations In modeling, considering that the working velocity in the durability test should not be over 1m/s, and taking into account of width of the orifice and the viscosity of the fluid, the Reynolds number should be <2000[5], therefore Laminar flow model was adopted.

In addition, the use of Computational Fluid Dynamics (CFD) in the validation and verification work is discussed.
In order to meet these goals, process models are needed for cost-efficient modelling and simulation of the unit processes.
Then, the average plume diameters of two converters with different geometries were approximated by CFD modelling [9, 10].
Here, CFD simulation [4] was used to obtain the mass transfer coefficients for supersonic blowing through a one-hole lance.
Fabritius: CFD Modeling of a Super-Sonic Top Blown Lance - Development of New Gas Heat and Mass Transfer Correlation.

The fractional results were validated through computational fluid dynamics (CFD) simulations.
As shown in Fig. 6 (a), the velocities obtained from the CFD simulation are three times lower compared to the experimental velocities depicted in Fig. 6 (b).
However, the use of 2D model in the simulation could not accurately predict the velocity profiles.
Fig. 5 Flow behaviors in a partially filled test section (CFD simulation) Fig. 6 Flow behaviors in a partially filled test section (CFD simulation) Conclusion The proposed fractional estimation method as an alternative to the Forchheimer equation to determine permeability is suitable for 3D printed foam with a height of 60 mm or larger, and pore sizes up to six times larger than 5 PPI foam.
Bracconi et al., “Investigation of pressure drop in 3D replicated open-cell foams: Coupling CFD with experimental data on additively manufactured foams,” Chem.

Cold Gas Dynamic Spray Technology: The Simulation of Aerodynamics of Flow Liang Cui, Andrew G.
CFD as a method has a deep root in explaining physical phenomenon through model development/simulation across a range of fields from aerospace, turbomachinery, multi-phase flow and heat transfer, to microflows, environmental flows, and fluid-structure interaction problems [4].
Computational Domain and Boundary Conditions The CFD computational nozzle meshing grid is displayed in fig. 3.
Developed meshing for fluid and solid domains: CFD computational grid.
Numerical Results and Discussion Fig. 4 displays the CFD results with an emphasis on capturing expected aerodynamic behavior.

Three mixed flow pump impellers with high specific speed were designed according to the circulation distributions, and the models of the three pumps were built and modeled in the commercial CFD code ANSYS- CFX 11.0.
The flow field in the pumps has been investigated using large eddy simulation (LES).
The three forms of common distribution circulation were selected, through combining with other parameters of the impeller to design, the pump flow field for numerical simulation and performance prediction were carried out by using the CFD software CFX, and combined with experimental and simulation results to analyze so they could be compared the characteristics of the three circulation distribution on the design of high specific speed mixed flow pump impeller, it prove a useful reference on high specific speed mixed-flow pump design in the future[3] .
Large Eddy Simulation is a new method, which the control equation used in this paper is Large Eddy Equation with cartridge filter function [5].
Figure 5 The calculate domain CFD results and discussion Static pressure distribution of impeller blade pressure surface.Figure 6 shows the static pressure distribution of pressure side of the three models under the design flow rate.

In recent years, gear pump internal flow field under the condition of different structure and operation parameters had been simulated by the CFD software FLUENT.
However, there is no research on gear pump internal flow field simulation under different gear rotation speed based by CFD method.
Numerical Simulation The structural and operating parameters of the gear pump.
The dimension of surface meshing was identified as 0.2mm after several pre-simulation.
Dynamic simulation of flow field inside of lubricate gear pump.

Numerical simulation Recently, efforts are being made to compare the experimental results with numerical simulation to give accurate results.
Computational Fluid Dynamics (CFD) is a tool which can substitute the experimental wind turbines for flexibility in modeling and simulations.
CFD modeling provides a good description of flow field variables, velocities, pressure, or torque [11].
Wind turbine.The main objective of the present work is to perform the CFD modeling and simulation of wind and the analysis of Savonius type turbines for wave energy conversion.The various parameters effects the wind turbine performance is shown in Fig.1(b).
[11] F.J Wang.Computational Fluid Dynamics--CFD Software Principles and Applications.

In this paper, CFD analysis of the temperature fields of the multi-array hole-entry hybrid journal bearing with various bearing construction parameters and operation parameters are presented.
In this paper, the temperature field is simulated by the CFD commercial code FLUENT which can simultaneously resolve the Navier-Stokes equation, continuity equation, energy equation and temperature-viscosity equation with the finite volume method (FVM).
Numerical Model and Simulation Procedure Control Equations.
Simulation Procedure.
Fig. 2 shows the 3-D simulation model of a three-array hole-entry hybrid journal bearing developed using the CFD package FLUENT 6.2, and Fig. 3 shows the corresponding grid model generated by the pre-processor Gambit2.3.