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It has been used extensively in different fields of computational fluid dynamics (CFD), such turbulent flows, particulate flows and multiphase flows [1-4].
Intrinsic characteristics of LBM method such as parallel computation [5] and easiness in handling complicated geometries [6] make it more attractive than conventional continuum-based CFD methods.
Roux, LBM based flow simulation using GPU computing processor, Comput.
Ladd, Numerical simulations of particulate suspensions via a discretized Boltzmann equation.
Ladd, Numerical simulations of particulate suspensions via a discretized Boltzmann equation.

The CFD (Computational Fluid Dynamic) method allows information on steel motion, flow, flow turbulence and steel temperature distribution in the tundish to be obtained.
The subject of simulation was a six-strand tundish unprovided with flow control devices.
The numerical simulation of steel flow was performed for whole test facility without the "symmetry" boundary condition.
The program Fluent was used to computer simulation
The results of this simulation are represented in Figs 7 & 8.

Numerical simulation Mathematics model There are six physical parameters to description the flow field in field-model.
Simulation model This paper used the FDS (Fire Dynamics Simulator) [9] field simulation program, version: 5.4.3 Serial.
Fire Dynamics Simulator (FDS), is a computational fluid dynamics (CFD) model of fire-driven fluid flow.
Fig.2 shows the vertical view of simulation model and the detectors locations.
This numerical simulation provides a method to help them chose the optimum scheme.

What’s more, mining intensity of fully mechanized caving is high at present and exceeding gas in air return corner is more general and serious, it is one of the great hidden dangers for safety production in coal mines [2].Simulating the distribution and motion law in air return corner by computer has been an important study and application direction to safety mining technology of coal mine, scholars at home and abroad are applying research means combining theoretical analysis with digital calculation modelling by computational fluid dynamics (CFD) to solve problems at present [3].
Balusu from Australia and Nakayama from Japan did study on simulating the flow field of working face by CFD [4,5].
Numerical simulation study on ventilation flow field of wall-attached jet in heading face [J].
The use of CFD modelling as a tool for solving mining health and safety[C].

Numerical Simulation of 3-D Chemical Non-equilibrium Flow in the Afterburning chamber of Solid Ducked Rocket Cui Li-kun 1, a, Zhang Yong-zhi 2,b and Li Zhuo 3,c 1 College of science of Inner Mongolia university of Technology, Hohhot, Inner Mongolia Autonomous Region, China； 2 Hohhot Vocational Colleges, Hohhot, Inner Mongolia Autonomous Region, China； alekuncui@sina.com, bzhangyong-zhi@sina.com, cli_zhuo@263.net Keywords: Solid Ducked Rocket; Afterburning chamber; Numerical simulation; Chemical non-equilibrium flow Abstract.
In order to reveal the complex turbulent combustion processes in the afterburning chamber of Solid Ducked Rocket(SDR), Based on the fundamental equations of hydrokinetics and elementary principles of radical reaction kinetics, using multi-component chemical reaction equation of containing Mg and Al components, the numerical simulation of chemical non-equilibrium flow in the afterburning chamber of SDR is processed and effects of the air inlet angle on the afterburning chamber is studied by using Fluent software.
Currently, many numerical simulations and experimental researches about afterburning chamber of solid ducked rocket were processed in the domestic and overseas.
In this paper, using multi-component chemical reaction equation of containing Mg and Al components, the numerical simulation of chemical non-equilibrium flow in the afterburning chamber of SDR is processed and effects of the air inlet angle on the afterburning chamber is studied.
Conclusion Based on commercial CFD software Fluent, the model of radical reaction kinetics is applied to numerical simulation of flow field.The numerical simulation of chemical non-equilibrium flow in the afterburning chamber of SDR is processed in this paper.

Therefore,it used fluid mechanics software Computational Fluid Dynamics(CFD) to simulate the flow and turbulence kinetic energy distribution of the fluid in reactor.
Reactor simulation grid unit was 493625 and node was 93158.
Numerical simulation area was consistent with structure and geometry size of the small scale reactor .
And it used Fluent6.3.26 software for numerical simulation.
Numerical simulation for the rectangular sedimentation tank by phoenics [ J].

The fluid in this nozzle was simulated by Volume of Fluid Model through CFD.
The fluid dynamic simulation results show that diameters of nozzle opening and swirl chamber, area of spiral groove, and helix angle of the spiral groove affect the spray angle.
Fluid Flow Simulation Fluid flow simulation was conducted to describe the flowing of fluid in the swirl chamber, to analyze the effect of parameters of the swirl-core and the depth of swirl chamber on the spray angle.
Simulation Results.
Table 1 shows the simulation result of the relation between swirl chamber depth and spray half-angle.

CFD Models of Internal Nozzle Flow and Spray Nozzle model.
The fuel is injected in a constant volume chamber, and the simulation for zone for the spray is simplified as a box with length of 12cm, width of 6cm and height of 6cm.
A transient nozzle flow simulation was carried out and the simulating data was written to a file with a predefined temporal resolution.
Fig.7 The structure of three types of nozzles Fig.6 Spray formation of single and coupling spray Spray simulation coupled with different types of nozzle flow.
The simulation of spray coupled with cavitating flow in nozzles performed via FIRE is helpful to disclose the relationship between the two parts.

Abstract: A 3-Dimensional fluid flow over the sudden expansion region of a horizontal duct for various Reynolds numbers have been studied by using the CFD Software package ANSYS Workbench Fluent v 13.0.
The simulation is carried out in sudden expansion for Reynolds number ranging from 200 to 4000.
The simulation is governed by continuity, momentum and energy equations.
Simulations of the flow and heat transfer are performed for the governing parameters, which are assigned with the following values: Prandtl number [6.99]; Reynolds number [200, 4000]; Heat flux [35 W/m2].
[3] Hiroyuki YOSHIKAWA, Kazuyoshi ICHINOMIYA, Mizue MUNEKATA and Hideki OHBA, Numerical Simulation of Deflecting Flow in a Symmetric Enlarged Channel, Journal of Thermal Science, Vol.16, No.4, pp 353-359, 2007

Effect of expansion tube structure on regeneration of Diesel particulate filter Junchao Zhang1,a, Jiayi Du1,b and Daowei Ding1,c 1School of Automobile and Traffic Engineering, Jiangsu University, Zhenjiang, 212013, China azhangjc0801@126.com,bjydu@ujs.edu.cn,cjsdxddw@sina.com Key Words: expansion tube; diesel particulate filter; numerical simulation Abstract.
The regeneration process is simulated under the condition of different expansion tubes by the established model on CFD technology.
This paper adopts numerical simulation to study the regeneration process under the conditions of different expansion tubes to explore the effect of expansion tube structure parameters on DPF working process which provides a reference for the carrier structure design and optimization.
Numerical simulation of soot filtration and combustion within diesel particulate filters [J].