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Simulation Research of the Impact on the Heat Transfer Capability of Structural Changes in Casing Heat Exchanger Baisheng Liaoa School of Civil Engineering and Architecture, Southwest University of Science and Technology, Mianyang, Sichuan, 621010, China alonely816@163.com Keywords: Numerical Simulation, Casing Heat Exchanger, CFX CFD Software Abstract.
The simulations used CFX CFD software of ANSYS company.
The simulations used the ICEM CFD software to draw pre-treatment geometric model and mesh, grid model, respectively, according to eccentricity of three cases 0, 1, 2 mm, the structure of the eccentric 0, the typical heat exchanger tube structure, it is constituted by two concentric tubes, fluid flow in the pipe and heat transfer is symmetrical, therefore, simulation can be modeled though only a quarter of the circumference of the heat exchanger.
It can be seen by the model, the simulation is two-dimensional simulation.
It can be seen, these two structures are three-dimensional simulation of the simulation.

This study presented Computational Fluid Dynamic (CFD) analysis of the effect of co-firing coal blended with biomass, which is saw dust here.
The CFD analysis includes the prediction of vectors of the gas phase and DPM burnout result alike.
The diameter of coal and saw dust set in this simulation is respective 1.34 and 0.5mm.
In proceedings of the 4th European CFD conference, Athens, Greece, 7-11 September, 1998, pp. 1194-1199
Janajreh., CFD Analysis of the Effects of CO-firing Biomass with coal., 602j, GCREEDER 2009

RANS CFD simulations presented here replicate the experimentally observed drag reduction and enable a detailed examination of the mechanisms behind this effect.
Governing Equations and Numerical Approach For this study, the basis of CFD simulations is the incompressible Navier-Stokes equations solved utilising the SIMPLE algorithm (Semi-Implicit Method for Pressure-Linked Equations) implemented within the commercial solver ANSYS FLUENT.
An additional simulation of 7x106 points confirmed this trend.
The change in lift and drag coefficients at these velocities can be used as an additional method of validation for the change in drag and lift observed in the CFD simulations.
Note that the CFD simulation was performed blind, prior to the release of the experimental data.

Research Methods Comparison between Experiments and CFD Simulation.
With the development of computer technology, CFD simulation technology is quite widely used in all walks of life.
The CFD simulation (FLUENT) where the two-equation model is a model of the standard k-ε is also adopted in this paper.
Fig.2 Comparison between experiments and CFD simulation From Fig.2, we can draw a conclusion as follows.
Therefore, CFD simulation is an effective way to simulate various operation conditions with less cost.

Student *Corresponding author: LI Jian-ping, Male, Professor Keywords: CFD, Twisted-tape, Flow field, Heat transfer, Parameters optimization Abstract.
The model of heat transfer tube was established to obtain the distribution of velocity field, temperature field and pressure field with the aid of the computational fluid dynamics (CFD).
Simulation Results.
Table 1 shows how the physical properties of the fluid are designated in the simulation.
Conclusion In this paper, CFD has been adopted to simulate velocity field, temperature field and pressure field in the pipe with and without twisted-tape inserted.

This paper carries out numerical simulation of three-dimensional flow field in mixing process by the compute fluid dynamics (CFD) software FLUENT, uses the multi-reference frame and standard k-ε turbulence model to simulate the density in three different conditions.
In this research the analysis is realized by numerical simulation: Numerical Simulation Model The stirring tank is feature with following characteristics.
Simulation Result The velocity of the impeller is 150rpm, according to real working conditions, three different conditions are analyzed as follows[5][6]: Working Condition One (sand-water ratio 20%) Fluid inlet velocity is 5.48m/s, sand input velocity is 0.2m/s.
Acknowledgments This work is supported by National High Technology Research and Development Program (Project Code: 2009AA063601) Reference [1] Hanchuan Wu and Wenjin Gao: Petroleum Machinery.Vol. 31 (2003), No.s1, p. 63-65 [2] Weetman RJ: Automated Sliding Mesh CFD Computations for Fluidfoil Impellers, Proceedings of 9th European Conference on Mixing, Paris, (1997), p. 195-202 [3] Han Zhanzhong, Wang Jin, Lan Xiaoping: Examples and Applications of Fluid Simulation Based on FLUENT, Beijing Institute of Technology Press, (2006) [4] Wang Junfu: Computational Fluid Dynamics Analysis – CFD Software Theory and Application, Tsinghua University Press, (2004) [5] Dong L, Johansen S T, Engh T A.: Flow Induced by an Impeller in an Unbaffled Tank-II, Numerical Modelling, Chem.
Sci., 49, p. 3511-3518 [6] Murthy J Y,Mathur S R,Choudhury D. : CFD Simulation of Flows in Stirred Tank Reactors Using a Sliding Mesh Technique.

It is verified that this method is valid to mesh molding and CFD experiment.
Support Software of CFD-Modeling We could gain the numerical solutions of the governing equations representing the flow field by the method of CFD.
The numerical experiments of flow field are based on the mathematic models that include of 3 D physical model, grid model and CFD model.
Grid model of the flow field for the control valve The grid model in not only a geometric representation of CFD model but also is the support simulation and analysis.
(In Chinese) [5] Zaizhong Han : Simulation Examples and Application of FLUENT (Beijing Institute of Tech- nology Press, Beijing 2005).

Numerical simulation has been carried out to investigate water separation from emulsion with new equipment designed by ourselves.
A commercial CFD code was used to solve the governing equations of the flow field.
Simulation results in the form of characteristic curves and an acceptable agreement were obtained.
Velocity distribution, pressure distribution and volume fraction distribution have been investigated by numerical simulation.
Reynolds stress model simulation have been calculated with different rotating speed.

Computational Fluid Dynamic (CFD) was used to simulate the injection molding process of a tray.
CFD simulation software ANSYS FLUENT 14 was utilized in this study.
The tray-shape mold cavity (Fig.1) was built by using SOLIDWORKS 2012 and then exported to CFD software for meshing and simulation analysis.
CFD software solved the governing equation by using Cartesian spatial coordinates and velocity component.
Figure 4: Velocity values at different injection pressures Conclusion CFD simulation using ANSYS FLUENT 14 was used to simulate the injection molding process of molten PP into a tray-shape mold cavity.

With the computational fluid dynamics (CFD) method, a powder dispersion tube was meshed in three different types, namely, tetrahedral, unstructured hexahedral and prismatic-tetrahedral hybrid meshes.
Results of the numerical simulation were compared with literature evidences.
Usually, numerical simulation work is a rather efficient way.
Thus, in this study, we investigated the effects of three commonly used unstructured mesh types, i.e., tetrahedral, unstructured hexahedral and prismatic-tetrahedral hybrid meshes, on the simulation results of computational fluid dynamics (CFD).
Chen, ANSYS ICEM CFD, meshing example and explanation.