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Effects of the Test Models on the Supersonic Wind Tunnel Flow To analyze the influence of models in supersonic wind tunnels, simulations with the commercial CFD solver Star CCM+ from Siemens PLM Software were performed.
In Fig. 6, the total pressure curves of the best model support design and the worst model support design are compared with the simulation that contains only the test model without model support.
Fig. 6: Total pressure Curves of best and worst model support The total pressure curves of the simulation with the best model support and the simulation containing only the test model, are equal until to the position where the model support starts.
Fig. 7: Best and worst combination of the factors A, B, C and D Comparing the flow field of the simulations, with the model only and the best factor combination model support, the shockwave of the model is not influenced by the model support.
To evaluate the different factors, simulations with the CFD solver Star-CCM+ were computed for each model support design.

Numerical Simulation of Flow and Heat Transfer with Large-eddy Simulation in a mixng T-junction Tao Lu1,a, Xingguo Zhu1,b, Ping Wang2,c,* and Weiyu Zhu3,d 1.School of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing 100029, China 2 School of Energy and Power Engineering, Dalian University of Technology, Dalian 116024, China 3.China Petroleum Liaoyang Petrochemical Company, Liaoyang 111003, China alikesurge@sina.com, bzxg20055445@126.com, cwp2006@dlut.edu.cn, dlhbjbzwy@sina.com * Corresponding author Keywords: Numerical simulation, flow, heat transfer, large eddy simulation Abstract.
In the present paper, large-eddy simulation (LES) based on commercial computational fluid dynamics (CFD) software FLUENT for prediction of flow and heat transfer in a mixing T-junction was completed.
In this respect, CFD is a good way of predicting the mixing phenomenon in a T-junction and recent researches show that large eddy simulation has validation[1, 2].
Table 1 Calculation conditions Main duct Branch duct ΔT Ri MR u/m/s T/℃ Re Pr u/m/s T/℃ Re Pr 0.1 16.89 9213 7.66 0.2 11 7864 9.2 -5.09 -0.029 0.5 In this work, LES is used for the simulation.

The simulation is carried out to study the influence of different temperature and doping levels on the electrochemical performance of the cell.
The geometry used in simulation is shown in Fig. 1b and the dimensions are mentioned in Table 1.
Fig 2 (a) Comparison of model and experimental results (b) effect of temperature on performance (c) effect of doping level on performance Results and Discussions At first, the model is validated and then used for further simulations.
CFD modelling is also useful in prediction of quantities which cannot be measured in-situ such spatial distribution of species mass fraction as shown in Fig. 3(a-c).
The current work uses CFD modelling to stress the importance of choosing optimum operational conditions and effective material properties for achieving good performance.

While reviewing the status of CFD solvers in European aircraft design, Voss et al. (2002) survey the extent to which fluid/structure coupling had found its way into CFD analysis.
For example, simulations of a geometrically complex flexible transport have been reported by Pranantaet al. (2005) using the Euler code ENFLOW.
The nonlinear steady flow field data for the F-16 simulation were supplied by Navier–Stokes CFD.
CONCLUSION It can be expected that aircraft and engine designs will continue to rely on the synergistic use of simulation in conjunction with testing.
That complexity at least at the present time makes it unlikely that simulations will in the near future wholly replace testing.

Accurate prediction of flow field for such problem using computational fluid dynamics (CFD) is becoming increasing significant.
The techniques of CFD, such as large eddy simulation (LES), Reynolds averaged Navier-Stokes equations (RANS) model etc., have been widely used to predict flows around bluff bodies in wind engineering.
Numerical methods A commercial computational fluid dynamics (CFD) code, ANSYS FLUENT, was used to perform present numerical simulations.
The above observations are well captured in present simulation as shown in Fig. 7(a).
Therefore, the wind-tunnel experiments and CFD can be used in synergy in practical wind engineering problems.

In order to improve the life of tuyere, the flow fleld and temperature field of tuyere were simulated by using computational fluid dynamics (CFD).
Simulation results show that the maximum temperature appears at the front margin of tuyere outlet side.
This text employs CFD to describe flow field and temperature field of water-cooling BF tuyere, and analysises temperature distribution in different water-presure.
Simulation results and analysis Field and temperature field of water cooling tuyere BF tuyere velocity vector and the temperature field were calculated with changing inlet pressure from 0.1 to 1.0 MPa.
Numerieal Simulation of Temperature Field and Stress Field in the Tuyere[D].

As a heavily compute-intensive operation, the direct numerical simulation of viscoelastic fluid flows in large-scale industrial applications presents tremendous challenges for not only the modeling but also the framework of numerical simulations.
Fortunately, the explosive growth of high performance computing provides new opportunities for this kind of numerical simulation in recent years.
The numerical solver of viscoelastic fluid flows could be parallelized and extended to thousands of cores on large-scale HPC platforms with open source CFD frameworks, such as OpenFOAM, or commercial CFD frameworks, such as CFX/ANSYS, PHOENICS and STAR-CD, to obtain considerable speedup compared with the serial solver.
simulation.
Optimization Strategies As can be seen above, the abstract top level interface in OpenFOAM framework facilitates the programming and parallelization of viscoelastic fluid flow solvers, and fostered its wide acceptance in CFD community.

In this paper, we perform numerical simulation on CFD software.
Numerical simulation In this paper, we use the DN32 PE tube as U buried tube, and we use CFD software to simulate the change of soil temperature field under different moisture.
, we concluded the following: after the same period of time heat exchanging, heat effect of heat exchanger in experimental measure is wider than that in numerical simulation.
The main reason is that numerical simulation simplifies the pipe buried model in that field experiment is affected by many other unknown factors.
In this way, there are some disagreement between the simulation and the field experiment.

Venkatraman, "Numerical Simulation of Incompressible Viscous Flow Past a Heaving Airfoil," Int.
Eighth Annual CFD Symposium, CFD Division of Aeronautical Society of India, Bangalore, August 11-13, CP 18, 2005
Ninth Annual CFD Symposium, CFD Division of Aeronautical Society of India, Bangalore, August 11-12, CP13, 2006
Eighth Annual CFD Symposium, CFD Division of Aeronautical Society of India, Bangalore, CP 18, 11th - 13th August, 2005
K., “Viscous Unsteady Flow Around a Helicopter Rotor Blade in Forward Flight”, Proc., 9th Annual CFD symposium, CFD Division of Aeronautical Society of India, Bangalore, 11th - 12th August, 2006

The simulation of internal flow field in nozzle with different cavity length was carried out by using CFD.
Simulation results are in agreement with Experimental results.
Based on standard κ-ε model and using CFD, the numerical simulation of two-dimension flow field of the cavity was carried out seeking the distribution rule of internal flow field, thus optimizing cavity structure.
The fluid medium is water in the simulation process.
Results and analysis of numerical simulation.