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CFD Simulation on the Phase Change Storage Energy Materials Lin Qiu, Min Yan, Song Lu Beijing University of Civil Engineering and Architecture, Beijing, China qiulin@bucea.edu.cn, hsym214@sina.com, hotdogls321@163.com Keywords: CFD, phase change materials, storage energy, numerical simulation.
This paper studied a phase change process of phase change material (PCM) application building energy storage by CFD software.
Model Establishment The study for simulation of storage and generate heat when phase change materials in the test tube.
Simulation of working conditions can be seen in table 1, thermal properties of the phase change materials as shown in table 2.
[4] Marilena,Giangi.Phase change problems with free convection: fixed grid numerical simulation.

Numerical calculation of centrifugal fan 9-19No.4A Fannian Meng 1,a, Quanlin Dong 1,b , Nan Chen 1,c and Yunqiang Fan 1,d 1School of Instrumentation Science and Opto-electronics Engineering, Beihang University, Beijing, 100191, China amengfannian123@163.com, bdongquanlin@buaa.edu.cn, c850663566@qq.com, dyq8933@163.com Keywords: Centrifugal fan; CFD; Numerical Simulation.
Based on CFD theory and standard two-equation turbulent model, the simulations of turbulent flow between the impeller and the volute under different operating conditions are performed by using the flow calculation software CFX.
The numerical calculation and visualization analysis are carried out using the CFD software CFX.
Computational fluid dynamics (CFD) has made great progress in calculating the three-dimensional flow in centrifugal pumps and fans.
The article based on CFD simulation lays the foundation of multiple loading conditions performance evaluation for CFD numerical simulation.

Numerical Simulation of Oblique Towing Tests and Rotating Arm Tests for a Submarine Model in Same Grid Topology Liushuai Cao1,a, Jun Zhu1,b, Guanghui Zeng2,c 1Department of Naval Architecture Engineering, Naval University of Engineering, Wuhan, China 2Navy Submarine Academy, Qingdao, China acao_liushuai@126.com, bzhjun101@sina.com c394656801@qq.com Keywords: CFD; Numerical simulation; OTT; RAT; Grid topology Abstract.
In contrast with the OTT simulation, the RAT case is more complex.
As for the gyration case simulation, different radiuses are needed.
Test Case and Grid Topology To provide experimental data for CFD validation in the past, the DRAPA SUBOFF submarine hull form was designed within a DRAPA funded CFD program.
Structured meshes were built using ANSYS ICEM CFD 14.5.

A Subdomain Method for the Aeroacoustic Simulation of a Generic Side View Mirror Lina Huanga, Mingxin Xueb, Hao Dongc, Bo Yangd State Key Laboratory of Automotive Simulation and Control, Jilin University, 5988 Renmin Street Changchun, China alnhuang11@mails.jlu.edu.cn, bsugarxiaoxin@126.com, cdonghao12@mails.jlu.edu.cn, dyang_bo@jlu.edu.cn (Corresponding Author) Keywords: computational aero-acoustics, side view mirror, subdomain, CFD simulations.
With the principal advantage of saving CFD cell numbers, the subdomain LES method would be a perspective way to simulate the aerodynamic noise of complex geometries such as the real automobiles.
In CAA method, both the acoustic sources and the receivers are in the computational domain, the acoustic information can be obtained from the CFD.
This method is performing an aerodynamic steady CFD simulation in the whole domain.
The simulations were carried out using a commercial code, SC/Tetra.

In order to solve the heat dissipation problem of LED (light-emitting diode) downlight, CFD thermal simulation software was used to establish LED downlight dissipation model.
Section I is about heat dissipation modeling, and Section II is lab measurement and CFD heat simulation analysis, and then Section III is light source layout optimization.
Through experiments, we found that the CFD thermal simulation analysis results were not much difference, as shown in figure 4(a) and 4(b).
CFD Simulation. 25W 8 inch LED downlight used 60 pits medium power 5630 LED array light source, materials and heat conductivity value are shown in table.2.
Figure8.CFD simulation results Results analysis.

Journal of Ship Mechanics Vol. 3 (1998), p. 74 [2] Cai Rongquan: Current situation of ship CFD and our knowledge.
Shanghai, China (2010) [13] LIU Chong-yang, YU Fang and XU Rang-shu: A grid error analysis example in CFD.
Journal of Shenyang Institute of Aeronautical Engineering Vol. 23 (2006), p. 21 [14] KANG Shun, SHI Lei, DAI Li-Ping, FAN Zhong-Yao: Analyse of CFD simulation error and study of grid convergence.
Flight Dynamics Vol. 27 (2009), p. 87 [16] Ming Pingjian, Zhang Wenping and Zhu Minggang: New AMG Method and Application in CFD.
The 4th International Symposium on HVAC, Beijing, China (2003) [22] Fred Stern, Robert V W, Hugh W C, et al, in: Verification and validation of CFD simulations.

In order to adapt to new modern car styling, the aerodynamic numerical simulations based on computational fluid dynamics(CFD) are applied to the process of car styling.
Proposed aerodynamic automobile design method is based on numerical simulations, according to experience in air vehicle dynamics studies.
Numerical method is also called computational fluid dynamics (CFD), which is a new numerical simulation method adapted to fluid dynamics study with the development of the computer technology evolution in recent years .Using CFD method has the advantage of spending less time, without being limited by the experimental conditions, less expenditure, etc.
Conclusion This paper summed up the design method based on combing CAD and CFD and introduced how to use CFD software to realize numerical simulation of automotive aerodynamics.
On CFD Investigations of Vehicle Aerodynamics with Rotating Wheels' Simulation, SAE technical Paper, 2006-01-0804.

CFD developed rapidly in capability and practicality during past years.
Table 2 Simulation results of No.1 test Drift angle (°) X force(N) Y force(N) N moment(N.m) Outer Propeller thrust (N) inner Propeller thrust (N) CFD 40.52 -36.38 -27.31 30.75 29.53 EXP 42.38 -37.79 -29.07 31.18 29.98 Error(%) -4.39 -3.73 -6.05 -1.38 -1.50 0 CFD 39.14 -70.83 -48.44 31.95 28.36 EXP 41.25 -73.88 -51.93 32.54 28.93 Error(%) -5.12 -4.12 -6.72 -1.81 -1.97 14 CFD 39.26 -110.80 -76.79 34.19 27.40 EXP 41.67 -114.99 -82.92 34.82 28.12 Error(%) -5.78 -3.64 -7.39 -1.78 -2.56 16 CFD 37.34 -123.87 -86.32 35.50 26.28 EXP 39.23 -132.2 -92.44 36.00 26.73 Error(%) -4.82 -6.30 -6.62 -1.39 -1.68 0 CFD 31.98 -170.39 -123.71 37.18 23.57 EXP 34.45 -180.52 -136.3 37.72 23.93 Error(%) -7.17 -5.61 -9.24 -1.43 -1.50 interference coefficients.
Table 3 Simulation results of No.2 test Rudder angle (°) X force Y force N moment Outer Propeller inner Propeller Outer Inner (N) (N) (N.m) (N) (N) 10.8 11.4 CFD EXP Error(%) 38.84 40.06 -3.04 -24.76 -25.16 -1.59 41.82 43.39 -3.62 30.58 31.39 -2.58 29.85 30.44 -1.94 16.3 17.1 CFD EXP Error(%) 34.68 35.57 -2.50 -36.36 -37.51 -3.06 63.03 64.73 -2.63 30.45 30.77 -1.04 29.53 30.26 -2.41 27.4 28.4 CFD EXP Error(%) 23.37 24.34 -3.98 -41.86 -42.96 -2.56 73.47 77.40 -5.08 31.02 31.75 -2.30 30.82 31.68 -2.71 Table 4 Simulation results of No.3 test Drift angle Rudder angle (°) X force Y force N moment Outer Propeller inner Propeller (°) Outer Inner (N) (N) (N.m) (N) (N) -8 -11.2 -11.5 CFD 38.13 32.96 73.58 30.56 28.34 EXP 40.32 34.33 79.17 31.51 29.43 Error(%) -5.43 -3.99 -7.06 -3.01 -3.70 -12 -11.2 -11.5 CFD 37.01 69.33 99.47 31.55 27.10 EXP 40.28 74.97 110.1 33.48 28.49 Error(%) -8.12 -7.52 -9.65 -5.76
The numerical simulations have reached the reasonable accuracy for engineering purpose.
Agdrup: CFD with PMM test Validation for Manoeuvring KVLCC2 Tanker in Deep and Shallow water, International Conference on Marine Simulation and Ship Maneuverability(MARSIM’06), Terschelling, Netherlands, Vol.12(2006), P.24 [2] L.P.

Cfd Simulation On Hydrodynamics Of Liquid-Liquid Slug Flow In Microchannel Wang Yi1,a Department of Pharmacy, Tianjin Medical College, Tianjin 300222, China awangyii_2013@163.com Keywords: CFD simulation; liquid-liquid; slug flow; microchannel.
Several CFD studies are available on the behavior of liquid-liquid two-phase slug flow in the microreactor.
A VOF based CFD methodology is developed to investigate the slug flow generation in a T-type mixing element considering the wall film.
The finite volume calculus in the commercial computational fluid dynamics (CFD) package of FLUENT 6.3.26 was used for the numerical simulations.
Fig. 3 - CFD simulated snapshots for the operating conditions corresponding to Fig. 2.

CFD Simulation of Enhanced Oil Recovery using Nanosilica/Supercritical CO2 Malahat Ghanad Dezfully, Arezou Jafari* and Reza Gharibshahi Chemical Engineering Department, Tarbiat Modares University, Tehran, Iran *ajafari@modares.ac.ir Keywords: Gas Injection, EOR, Nanosilica, Heavy Oil, Sc-CO2, CFD.
In this study series of runs were done by a CFD technique in which the injected fluid is nanoparticles/supercritical CO2.
All simulations were continued until 10000s at which the oil production rate was stabilized.
For other simulations nanosilica/supercritical CO2 is injected and it is assumed that the porous medium is totally saturated with the oil at 313 k and 100 bar. 3- The constant flow rate 8×10-4 cc/min is applied. 4- For all simulations Δt=0.1 s has been selected.
Jafari, CFD simulation of complex phenomena containing suspensions and flow through porous media, Lappeenranta University of Technology, (2008)