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A lot of three-dimensional numerical simulations are carried out on the new valve, and the numerical simulations give a good linear relationship between relative flow coefficient and relative valve opening.
An experiment setup was established to verify the results of numerical simulations, and the results show that the CFD technology to research and design the new valve plate is entirely feasible.
So it meets our requirements and the contrast diagram of numerical simulation, and experimental research is shown in figure 9.
Guti，Numerical 3D simulation of the erosion due to solid ppaper impact in the main stop valve of a steam turbine, Applied Thermal Engineer 24 (2004) 1877–1891
Wang, Principles and applications of CFD software, third ed, F.J.

This paper presents tool for analysis of CFD adapted for flows in multi-staged stirred vessels with fractal pattern baffled for industrial.
The simulation of mixing process will be conducted by using multi-stage stirred tanks.
The simulation is carry out by using the standard k-ε turbulence model.
For example, Zalc et al. [8] was simulated a laminar flow in an impeller stirred tank using CFD tools.
The simulation model and the meshing were shown in Figure 3 below.

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.

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

Numerical Exploration on HCCI Combustion Characteristics under NVO Strategy Yinhan Gao 1, a,Defu Wang2,b ,Peng Cheng 1, c, Hua LI1, Youkun Wang1 1 State Key Laboratory of Automobile Simulation and Control, Jilin University, Changchun 130022, China 2 College of Instrumentation & Electrical Engineering, Jilin University, Changchun 130022, China ayinhan@jlu.edu.cn, bdfwang11@mails.jlu.edu.cn, cchengpeng@jlu.edu.cn Keywords: Homogeneous charge compression Ignition, CFD simulation, Negative valve overlap, Combustion characteristics Abstract.
A 3-dimensional CFD HCCI model has been established using STAR-CD code for combustion characteristics studies under negative valve overlap (NVO) strategy via an early closure of exhaust valve.
Simulation results were in good agreement with the available experimental data.
The objective of this paper is to simulate HCCI engine combustion using 3-dimensional CFD model under NVO strategy.
Assanis,A Four-Stroke Homogeneous Charge Compression Ignition Engine Simulation for Combustion and Performance Studies.

According to the above reaction chamber structure, using computational fluid dynamics software CFD - ACE - GEOM to build two-dimensional model, after divide grids, as shown in Fig.1 (b).
The results of the simulation show in Fig.3.
These are all consistent with the results of the simulation.
(a) Deposition effect of reaction intraluminal (b) The coordinates of deposition effect Fig.2 Figures of simulation results (a) When the power is 40W (b) When the power is 50W (c) When the power is 60W Fig.3 Graphs of deposition rate when power changes All of the above mainly through the computational fluid dynamics(CFD) simulation software to simulate the influence of deposition parameters on the deposition rate.
Conclusions This paper uses the software CFD-ACE + to study the deposition rate and the uniformity of the thin film under different power.

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.

Final CFD simulations were carried out at the optimized cell number.
The simulation could probably be further improved by using a finer grind around the MRF.
Table 3: Numerical and experimental hydrodynamic quantities of mixed-flow impeller at 600 rpm model axial-CFD (m3/s) radial-CFD (m3/s) Qr-CFD (m3/s) Torque-CFD (N.m) Torque-Experimental (N.m) Nq Np (CFD) RSM 1.001 0.036 0.965 0.008 0.011 0.58 1.00 Conclusion The flow characteristic of a mixed-flow impeller in a baffled vessel has been presented.
Experimental measurement and computational fluid dynamics simulation of mixing in a stirred tank: a review.
CFD modelling and mixing in stirred tanks.

Numerical Simulation of Two-dimensional Turbulent in T-tube tee about Two Kinds of Angle XIONG Moyou, TANG Zhonghua The Civil and Architecture School of Southwest University of Science and Technology, Mianyang 621010,China xmy19870102@126.com,tangzhonghua126@.com Key words: T –tube, numerical simulation, turbulent, flow field Abstract.
However we can get the various flow parameters vividly and visually, by numerical simulation of the inner flow field of the T-tube tee tube with the software of the computational fluid dynamics (CFD). 1 The control equations The T-tube tee flow condition is complex, a fluid flowing into tube and outflow into two branches.
Fig.1 The geometric dimensioning of two kinds of T-tube tee Fig.2 The triangular grid of the two kinds of T-tube tee 3 Numerical simulation and analysis of the results 3.1 Numerical simulation conditions Simulate air which in the central air conditioning system flow condition in two different kinds of T-tube tee by the way of the software of the computational fluid dynamics (CFD).Using the method of Separation implicit, convective term of the control equations discrete format is first-order windward format, considering direction of fluid, at the same time, first-order format is enough for the longitude demand here, this is why choose first-order windward format.
Computational fluid dynamics (CFD software theory and application [M].
Based on the software FLUENT t-shape tee turbulent numerical simulation [J]. journal of chemical equipment technology, 2008 (4) : 33-36

Wind load conditions can be obtained from wind tunnel tests, wind codes in design standards, or Computational Fluid Dynamics (CFD) simulations.
Optimization of building structures considering wind loads can be carried out by coupling the CFD simulation with structural optimization techniques.
Define the non-design domain properly and apply wind loads to the model from the results of wind tunnel test, wind design codes or CFD simulations; 3.
CFD simulates eight typical wind directions with steady-state analysis.
CFD method was combined with structural finite element analysis and BESO algorithm using both APDL and FORTRAN scripts in ANSYS environment.