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In the paper, the combustion process of HFPE is simulated by using the commercial CFD software AVL FIRE.
CFD Modeling Model Configuration.
Conclusions The combustion process of two-stroke loop-scavenging HFPE is simulated based on the commercial CFD software AVL FIRE.
Blair, Design and Simulation of Two-stroke Engines.
(in Chinese) [6] J.Fredriksson, I.Denbratt, “Simulation of a Two-Stroke Free Piston Engine”, SAE paper, 2004-01-1871

With the development of turbulence models, the unsteady Reynolds-averaged Navier–Stokes (URANS) model, detached eddy simulation (DES) and large eddy simulation (LES) compensate the disadvantage of RANS model.
Introduction Recently, the numerical simulation technique has been widely used to study the bluff body aerodynamic phenomena.
Fig.6 plots the time averaged streamwise velocity component mean values for current simulation cases and other experimental and CFD results at the centreline of the computational domain respectively.
It can be found that current simulation results agree with the CFD simulation results from Murakami [10] based on the Reynolds stress model (RSM) and LES model very well, however there is a large discrepancy in the wake region between the numerical simulations by Murakami [10] based on the standard model.
It is found that LES is a mesh sensitive simulation model and fine mesh density will consider more eddies with high frequency part.

By using CFD technology, the velocity distribution of flow at the blade position was analyzed and the different effects caused by blade numbers to the particle removal efficiency were discussed.
Fig.1 Computational grid and boundary conditions An Eulerian- Eulerian two-phase flow model of the first-stage grit chamber with rotational flow is applied to conduct the numerical simulation, then the simulation results of the water and particles could be presented
The aforementioned simulation demonstrated that the optimal solution of blade number is 4 and the grit chamber runs best.
The velocity distribution of flow at the blade position and the effects caused by different blade numbers (2, 3, 4, and 6) to the removal efficiency were discussed by using CFD technology.
Li: Hyperconcentrated Solid-Liquid Two-Phase Flow Simulation on Vortex Grit Chamber in Sandstone Wastewater Treatment.

A three-dimensional model of a full-sized diesel SNCR system generated by CFD software FIRE is used to investigate the reduction efficiency under different temperatures.
Therefore this numerical simulation with CFD software (FIRE 2009) is introduced to investigate the performance of SNCR system.
And the simulation injection point agrees with position A.
The simulation results are slightly lower than the experimental results, because simulation lacks a reaction process before mixture flows across the sncr-inlet cross section.
The simulation results are in good agreement with the experimental results, and simulation method can be used to further optimize SNCR system.

The ways to study the forces of tube in process of sinking mainly take means of test and numerical simulation.
Scholars have done the appropriate research on such problems, Zan Dexin[5] had created the numerical simulation of the floating and sinking of tube, and analysed the theory on tube segment sinking.
The numerical model simulate the process of tube sinking, which is relied on the Guangzhou Zhoutouzui immersed tube tunnel, based on RNG k-ε turbulence model, used the Computational Fluid Dynamic (CFD) method.
Numerical simulation of immersed tube sinking The numerical model The sinking speed of tube segment is 0.5m/min, the distance from the water surface to trench bottom is 9.56m.
Conclusions It have simulated the process of tube of immersed tube tunnel sinking using CFD method, obtained the following conclusions.

In this study a 3D computational fluid dynamics (CFD) analysis was carried out to determine the minimum inlet propellant temperature with change in mass flow rate of the propellant so as to maintain single phase flow in the micronozzle.
Validation of the CFD Code The validation of steam flow in micronozzle is done by comparing the experimental results in literature [6] and solving the model using CFD code.
Comparison of the values shows good agreement of the thrust value obtained by numerical simulations and experiments.
Conclusions In this research the performance analysis of a micronozzle steam flow is done by numerical simulation.
Kana, et al., Simulation and experiment research on vapourizing liquid micro-thruster, Sensors and Actuators A 157 (2010) 140–149

Thus, Static Simulation software is essential in the industry [8].
Static Simulation Structural integrity was evaluated through static simulations using SolidWorks Simulation software.
However, quantitative thermal performance analysis and computational fluid dynamics (CFD) simulations are recommended to validate the effectiveness of ventilation holes and overall thermal management strategies explicitly.
Placement of ventilation holes, as currently designed, will be validated using CFD tools to ensure proper heat dissipation, particularly in wall-mounted scenarios.
While simulation results support structural robustness and theoretical thermal management capabilities, additional quantitative thermal analyses, CFD validations, practical mounting details, and clear references to industry standards compliance are necessary for comprehensive validation and industry readiness.

In the near wall region and airflow separation simulations, the simulation results of SSTmodel are more close to the actual condition compared with standard and RNG models.
Introduction Common methods used to study vehicle aerodynamics are DNS (Direct Numerical Simulation), LES(Large Eddy Simulation) and RANS(Reynolds-Averaged Navier-Stokes) model.
It can be judged the front of vehicle simulation of Standardmodel is distortion.
Conclusions In this study, the CFD analysis of vehicle external flow using the Standard, RNG models and SSTmodel by FLUENT is conducted.
References [1] Fujun Wang：The Analysis of CFD (In Chinese)( Tsinghua University Press, Beijing, China 2005) [2] ANSYS Inc: ANSYS FLUENT 12.0 Theory Guide (ANSYS Inc, USA 2009) [3] F.R.

EffectofT-shaped Micro-channel StructureDimension onFormation ofMicro-liquid-columns Formed by Vertical-shear-flow WANG Zhixin1,a, Li zhe2,b, Cai hengzhi2,b, ZHANG Yajun1,c, ZHUANG Jian*3,d 1College of Mechanical and Electrical Engineering, Beijing University of Chemical and Technology,Beijing, China,100029; 2L.K.Group Ningbo L.K. technology Co.Ltd; 18 Yanshanhebeilu, Ningbo, Zhejiang, China, 315806; 3Engineering Research Center of Polymer Processing Equipment of Beijing University of Chemical and Technology, Ministry of Education, Beijing, China,100029 axiaoxin871205@163.com, blknblk@lknblk.com,ca1169@163.com, dvipzhuangjian@163.com Key words: Micro-reactors; Micro-channels; CFD; Vertical-shear-flow; Micro-liquid-columns Abstract：Effects of T-shaped micro-channel structuresizes on the formation of micro-liquid column formedby vertical-shear-flow were studied.
The method of CFD based on VOF (Volume of Fluid) model was used in the computation.
Using the method of CFD, Dong Lichun[3]simulated the regular of micro-droplets formation in a T-shaped micro-channel, studied the effect of the Capillary number on the regular.
continuous-phase inlet mian channel dispersed-phase inlet (a)3D model (b)2D model Fig.1 Geometric model of T-shaped micro-channel In order to simulate the formation of micro-liquid-columns in the T-shaped micro-channel, the CFD method based on VOF model in the software of Fluentis used.
CFD simulation of droplet formation in a microfluidic T-junction[J].

Quasi-steady Marching-on in Time Approximation Technique of Numerical Simulation of Wind Pressures on Building Zhixiang Yu1a, Yanjun Yan2b , Hao Wu1c 1 School of Civil Engineering Southwest Jiaotong University ,Chengdu, China 2 College of Civil Engineering Tongji University ,Shanghai, China ayzxzrq@126.com, byyj07011100@yahoo.com.cn, c Yong_zhiwu @163.com Keywords: Wind load,Quasi-steady Approximation, CFD, Murakami model, Numerical simulation Abstract.
Introduction Since the 1990s, CFD has been employed to analyze the wind pressure of buildings by many scholars such as Murakami [1-2], Selvam [3-4], Holmes [5].
Hibi, Three-dimensional numerical simulation of air flow around a cubic model by means of large eddy simulation, J.
Panneer Selvam,Computation of pressures on Texas Tech University building using large eddy simulation, J.
Computational fluid dynamics analysis: CFD Software Principles and Applications [M].