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For that purpose, a 10450-DWT tanker is considered in a study using computational fluid dynamics (CFD).
The averaged time required for running a model simulation is approximately two and a half hours.
Wang, Numerical simulation of viscous wake field and resistance prediction around slow-full ships considering free surface.
Kraskowski, CFD optimization of vortex generators forming the wake flow of large ships, In: Proc. 13th Numerical Towing Tank Symposium, Duisburg, Germany (2010)
Turnock, Free-surface CFD prediction of components of ship resistance for KCS, In: Proc. 13th Numerical Towing Tank Symposium, Duisburg, Germany (2010)

Description of Model using in simulation The model used in this simulation consists of a wind tunnel which encompasses the whole computational domain with a motherboard and several 84 lead PLCC on top of the motherboard but not attached on it.
The isometric view, plan view, and front view of the simulation setup for 4 PLCC packages are shown in Figure 1.
A combined model is combination between PLCC packages and motherboard that have been used during the simulation.
It is tolerable as slight difference in shape may not affect the simulation result.
Seetharamu, Application of CFD in Cooling Electronic Packages, The Seventh Asian Congress of Fluid Mechanics, pp 777-780, December 1997

Performance parameters The important performance evaluation parameters for Y-shaped diffuser are as follows [3, 4]: · Outlet pressure recovery · Coefficient of static pressure gain ideally · Effectiveness of the diffuser · Non-uniformity index Details of CFD outputs obtained and validation of the CFD code Figure 3.
Comparison of the values showed good agreement between the present simulation and the literature data.
Validation - comparison of Cps values Reynolds number Literature (Cps) Simulation (Cps) 1.37x105 0.62 0.602 2.74x105 0.63 0.619 5.48x105 0.635 0.633 Grid independency check Grid independency is an important requirement while doing any CFD problem using software or code.
The CFD code employing the standard k-ε model has the capability to predict the performance characteristics of the Y-shaped diffusers. 2.
B, Effect of angle of turn on flow characteristics of Y-shaped diffusing duct using CFD, 2010 IEEE – 978-1-4244-9082-0 [6] Anand R.

Three-dimensional Simulation of Liquid-solid Two-phase Flow Inside the Abrasive Water Jet Nozzle C.
Three dimensional simulation of the velocity field of solid-liquid two-phase flow inside the abrasive water jet nozzle was studied by the computational fluid dynamics software (CFD).
The study on the two-dimensional simulation for the velocity field of gas-liquid and solid-liquid two-phase flow inside and outside the abrasive water jet nozzle have been carried out by using CFD software [13, 14].
Therefore, the present work attempts to obtain the two-phase flow velocity field inside the abrasive water jet nozzle, and the velocity and vectorgraph distribution of the abrasive phase and the water phase in the whole flow field in the nozzle by means of 3D CFD simulation.
Fig.1 3D model of abrasive water jet nozzle Fig. 2 Velocity field vectorgraph in 3D nozzle Simulation Results and Discussion The simulation result of velocity field vectorgraph in 3D nozzle is shown in Fig. 2.

Numerical simulation on air flow field of tangential longitudinal axial combine harvester Li Yaoming1,a，Li Fang2,b 1,Jiangsu University institute of agriculture engineering, Zhenjiang 212013, China 2,Jiangsu University institute of agriculture engineering, Zhenjiang 212013, China ayml@ujs.edu.cn,blifang_smart@163.com Key words: tangential longitudinal axial, cleaning device, air flow distribution, numerical simulation Abstract: With the use and popularization of the tangential longitudinal axial combine harvester,the cleaning device of high loss rate and impurity rate continuously emerging.In order to analyses the reason of cleaning performance is low,the study for airflow field distribution of the tangential-longitudinal axial combine harvester has been carried out.Based on homogenization when Reynold continuous equation and navier-stokes equation and the renormalization group (RNG) kappa epsilon turbulence model predominate constitute a closed equations,Using CFD simulation
This paper in 4LZ-850 type tangential longitudinal axial combine harvester as the research object,Through the modeling of physical dimensions,studied the cleaning shoe air flow field distribution by CFD software.
For cleaning shoe air flow field simulation of RNG kappa epsilon turbulence model predominate.
Fig.1 Diagram of cleaning chamber cavity CFD calculation domain structure Fig.2 Diagram of cleaning chamber cavity Grid computing domain After build the 3D model ,then import into Fluent before processing software ICEM mesh.
But the simulation results shows that the airflow field of the cleaning shoe is symmetry in the width.

University of Feres Yahia, Medea, Algeria aboualemlaribi@yahoo.com, bdjelloulbelkacem@gmail.com, clmp2m_cum@yahoo.fr Keywords: Turbulence, CFD, Navier-Stokes, k-ε, k-w, RSM, Jet.
The software used was CFD code Fluent with his three turbulence models namely k-e, k-w and RSM.
The better numerical results were obtained by CFD code CFX, where results are in good agreement with the experimental results.
From the numerical view point, three methods of approach are commonly used: Direct Numerical Simulation (DNS), Large Eddy Simulation (LES) and Reynolds Average Navier-Stokes equations (RANS).
Abbas : Simulation of Turbulent Jet Free by the RSM LRR-IP Model. 12th International days of Thermal.

FLUENT 14 software was used to carry out the CFD study in a one-phase flow (liquid), as well as in two-phase flow simulations.
Li et al. [8] carried out a comparison between CFD simulations using two different codes, Phonetics and Fluent,, it was found that Fluent is a reliable as code to study the design of the refrigerant distributor and the maldistribution inside it.
CFD simulations were used to evaluate the performance of both existing and altered designs for refrigerant distributors.
Model Comparisons To evaluate the results obtained by CFD to flow in refrigerant distributors, the simulation results from FLUENT were compared with results from FLUENT and PHOENICS obtained by Li et al. [8], [10].
Dorao, "CFD simulation for steam distribution in header and tube assemblies," Chemical engineering research and design, vol. 90 , p. 487–506, 2012. [16] P.

Numerical Simulation of Campus Wind Environment Liu Richao1,a,Tang Zhonghua2,b,Qi Weiyang3,c 1,2,3Southwest University of Science and Technology , Mianyang .China a,b,cqtliujc2008@yahoo.com.cn Key words: Natural Ventilation, Wind Environment, Simulation Abstract: This paper adopted computational fluid dynamics (CFD) method, used k-ε RNG turbulence model-closed control differential equations for numerical simulation.
Computer numerical simulation Computer simulation is numerical solution of dynamic equation of the wind flow around the building following by computer (often called the computational fluid dynamics CFD:computational fluid dynamics),which simulates the wind environment.
Of course, the biggest shortcoming of numerical simulation is reliability- the credibility of simulation results.
Analysis of simulation results 4.1.
,Kim,S.CFD analysis of wind climate from human scale to urban scale.J.Wind Eng.Ind.Aerodyn.1999,81:57-81

Numerical Simulation of the Influence of Deposits on Heat Transfer Process in a Heat Recovery Steam Generator Lin Mu1, a, Hongchao Yin1,b 1 School of Energy and Power Engineering, Dalian University of Technology, 116023, Dalian, China awwt650420@sina.com.cn, bhcyin@dlut.edu.cn Keywords: Numerical simulation, Heat transfer, Particle deposition, Deposits growth, CFD Abstract.
In the present work, an Eulerian- Lagrangian model based on Computational Fluid Dynamics (CFD) is implemented to simulation flue gas turbulent flow, heat transfer and the particle transport in the HRSG.
Both numerical simulation and field measurement identify that the deposits play an important role in the heat transfer in the HRSG.
Based on the numerical simulation and field measurement, the total heat transfer rate after one day reduces to 1780.45kW which is 72.32% of total heat transfer rate in the case of no particle deposition.
Both numerical simulation and field measurement identify that the deposits play an important role in the heat transfer in the HRSG.

The hydrodynamics in a high and narrow turbulent fluidized bed of FCC particles is investigated by using computational fluid dynamics (CFD) method.
This paper focuses on CFD modeling of hydrodynamics in a high and narrow turbulent fluidized bed of FCC particles.
CFD model Eulerian-Eulerian approach has been used to investigate the hydrodynamics in fluidized beds.
CFD simulations are performed by using the commercial CFD code (FLUENT 6.3.26 software).
Fig. 2 is the comparison of the bed density in the axial direction between the simulation and experimental results.