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The study has carried out in computational fluid dynamics (CFD) simulation and experiment method.
They made the comparison between CFD simulations and experimental data and showed that established 3-D CFD model had very good prediction ability.
Based on CFD simulation results, some optional configuration parameters for flat-tube louver fin were proposed.
MCHX performance has been analyzed with CFD simulation method under commonly used residential air conditioner condenser condition.
Mazaher Ashtiani, Simulation and CFD Analysis of heat pipe heat exchanger using Fluent to increase of the thermal efficiency

Development of CFD Model This heat recovery system was created to closely resemble the real thing.
The simulations were carried out at varied flue gas stream entry temperatures and velocities.
Validation of CFD Model Fig. 3 depicts the CFD output, which illustrates the temperature distribution in the flue gas system.
Table 6: Validation of the CFD output.
Parameters Analytical Value CFD Simulation Value Difference Outlet temperature of flue gas 136 (OC) 146 (OC) 10 units Inlet temperature of moist sand mold 19 (OC) 19 (OC) 0 units Outlet temperature of sand mold 138 (OC) 141 (OC) 3 units Conclusion Waste heat recovery technologies must be implemented in industries immediately.

Numerical simulation of pipeline flow field was performed with CFD method and the factors of erosion thinning were analyzed.
Numerical simulation is widely used considering complexity of erosion mechanism and high cost in experiments.
Numerical simulation is the controlled computational experiment which allows various parameters to be studied separately under various conditions, which is of little difficulty, high efficiency and low cost with the development of CFD [4-6].
Therefore, numerical simulation is in agreement with the actual instances and testified to be reliable and effective.
Application and experimental validation of a computational fluid dynamics(CFD).

This paper analyzes the vortex induced vibration (VIV) phenomena of twin box bridge girders by means of 2D computational fluid dynamics (CFD) models.
The results obtained from the application of CFD to the structural bridge profile were validated by experimental results from wind tunnel tests.
The numerical simulations are performed with ANSYS Fluent code based on the finite volume method.
The large eddy simulation (LES) with a dynamic Smagorinsky subgrid scale model is employed in the computational process.
Computation of aerodynamic derivatives by various CFD techniques.

In this study, a numerical approach based on computational fluid dynamics (CFD) was performed to describe the flow field.
Computational Fluid Dynamics (CFD) is a versatile method to predict velocity profiles under a wide range of operating conditions [2-4].
For the flow simulation in the cyclone, a number of simulations have indicated that the RSM is capable of reproducing the salient flow features in cyclones [5-6].
Flow pattern simulation in the cyclones was conducted using the commercial CFD package FLUENT 6.2.
Fig. 1 Static pressure in hydrocyclone at axial station of Z=0 mm Fig. 2 Tangential velocity in hydrocyclone at axial station of Z=0 mm Conclusions In order to understand the flow field in hydrocyclone for potash ore desliming, the detailed flow field information was obtained through CFD simulation.

The experimental results have been compared both with analytical calculations and with 3D computational fluid dynamics (CFD) simulation results.
A simplified CFD model of the experimental setup has been validated.
Description of simulations.
Steady state CFD simulations of the heat transfer experiment were performed.
A simplified model was developed based on the simulation results of the detailed model.

Further details on the simplified simulation models are explained in the next section.
Simulations were performed using OpenFOAM software, which is open source computational fluid dynamics (CFD) software.
Figure 1 below shows the simulation model used in this study.
DNS-SQ refers to direct numerical simulation of square array done by Coceal et al. [13].
N., “CFD Prediction of Airflow in Buildings for Natural Ventilation,” The 11th Americas Conference on Wind Engineering, 2009

CFD analysis is carried as per the standard analysis method using ANSYS FLUENT.
Body temperature is taken as output from CFD analysis.
Average of the heat transfer coefficient calculated is found matching with values taken from AVL simulation.
Grid Independent Test One of the essential aspects of CFD simulation study is to check the grid sensitivity.
Four cases were considered for CFD and thermomechanical study.

CFD Calculation of Wind Turbines Power Variations in Urban Areas Jafar Bazrafshan1,a, Payam Sabaeifard2,b, Farid Khalafi3,c and Majid Jamil3,d 1Department of Mechanical Engineering, Islamic Azad University Ayatollah Amoli Branch, Iran 2 Faculty of Mechanical and Energy Systems, Power and Water University of Technology (Abbaspour University), Tehran, Iran. 3 Department of Energy, Materials and Energy Research Center, Karaj, Tehran, Iran.
In this paper, to examine variations in efficiency of wind turbines in this condition, two models of H-Rotor and horizontal axis wind turbine analyzed based on axial momentum theory through computer simulations.
Simulations conducted through CFD method and k-ε turbulence model was utilized to analyze flow fluctuations in Navier-Stokes equations.
In order to increase precision of simulation, firstly one actuator disk and then two actuator disks developed in axial momentum theory and subsequently following equations used for having final results [9].
Results and Discussion Optimal aerodynamic efficiency of various wind turbines calculated by CFD solver is plotted in fig.8.

A Numerical study of the Fire-extinguishing Performance of Ultrafine Water Mist in Small Scale Tunnel Space Tianshui Liang1,2,3, Jingjing Yu1, Guanpeng Lu1, Xiang Li1, Wei Zhong1,a and Siuming Lo3 1School of Chemical Engineering and Energy, Zhengzhou University, Zhengzhou 450001, China 2State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei 230026, China 3Department of Building and Construction, City University of Hong Kong, Kowloon, Hong Kong, SAR China azhongwei@zzu.edu.cn Keywords: Ultrafine Water Mist; Flow behavior; Fire extinction; CFD Abstract: CFD simulation study on the fire-extinguishing performance of ultra-fine water mist (UFM) and its flow behavior in a small scale tunnel.
Numerical simulation In the numerical simulation, the k–ε turbulence model was adopted to simulate thermal plume and the air flow.
Two kinds of fire size were considered in the simulations.
Fig.1 Layout of a small scale tunnel test scenario Simulation results and anlysis Without fire Fig.2 shows the time-variation of mass fraction of ultra-fine water mist in simulation of using Dense Gas model without obstruction in the tunnel.
Fig.4a: Without fire Fig.4b: With a small size of fire Fig.4c: With a large size of fire Fig.4 The isosurface of mass fraction (the value is 0.2 and 0.1) in small scale tunnel using density gas model (simulation results at 37s) Conclusion CFD simulation results on flow behavior of ultra-fine water mist were presented in this section.