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Zhang, CFD Simulations of a large-scale seed precipitation tank stirred with multiple Intermig impellers, in: Margaret Hyland (Eds.), Light Metals 2015, John Wiley & Sons Inc.
Zhang, Physical Simulation on Mixing Uniformity in Seed Precipitation Tank, in: n: Carlos E.

Numerical Simulation on Velocity Profiles of Mill Bearing Lubrication Qingxue Huang 1, a , Jianmei Wang 1, b , Yugui Li 1, a LiLifeng Ma 1, c and Chunjiang Zhao 1, a 1 Taiyuan University of Science and Technology, People's Republic of China a hqx@tyust.edu.cn, b wjmhdb@163.com, cmalifeng@163.com Keywords: Velocity profiles.
Summary The profile laws of the variation of velocity and velocity gradient along the circumferential and axial directions at different oil-film layers are consistent with the CFD results and the literatures, which validates the correctness of the mathematical model and the program, and also can provide references for further research on lubricating performance of oil film bearing in large-scale mill.

The apparent viscosity of the Bingham model in the ANSYS simulation environment is mathematically defined as in Eq.(3).
Fig.6 Finite element model of the beam Simulation calculation.
For magnetic strengths of 0 Oe and 900 Oe, the procedure of simulation calculations is summarized as follows.
CFD simulation of magnetorheological fluid journal bearings.
Simulation Modelling Practice and Theory, 19 (2011): 1035~1060 [14] Anirban Ahaudhuri, Norman M.

Therefore in some simulations rolling actions are usually simplified or not to be considered, sometimes only thermal stresses were calculated [4, 5].
Firstly, the thermal flow of Twin-Roll-Casting process was simulated by a CFD model; then the Anand's constitutive model, a temperature and rate dependent model for high temperature deformation, was employed to calculate the thermal mechanical stresses and deformation in the casting region.
Thermal flow simulation The schematic of twin-roll casting process is shown in Fig.1.
Based on the assumptions steady-state simulations were performed.
Temperature field of thermal flow simulation Th ij p ij e ijij εεεε &&&& ++= n p RT Q A ss             = exp~* ε& internal state of the material.

D’Alessandro et al. [6] developed a new computational approach, based on both CFD and wind tunnel measurements, for the simulation of a drag-driven VAWT energy performance, in order to gain an insight into the complex flow field structures developing around a Savonius rotor.
D., Montelpare, S., Ricci, R., Secchiaroli, A., Unsteady Aerodynamics of a Savonius Wind Rotor: a new Computational Approach for the Simulation of Energy Performance, Energy, Vol. 35, Issue 8, August 2010, pp. 3349-3363

CFD-ACE+ and CVDSim software are used for the simulation analysis.
Virtual Reactor CVD-SiC software was used in the simulation studies.
Both the experimental and simulation results show that the growth rates are enhanced by an increase in wafer rotation speed [Fig. 1(a)] and system pressure [Fig. 1(b)].
We surveyed adequate growth conditions of the high-temperature gas source method by computational simulation for the reactor model to achieve high-speed C-face 4H-SiC crystal growth.
The velocities were evaluated by the gas-flow simulation for the corresponding conditions as values at 10 mm below a seed crystal.

Numerical Simulation of the Influence of Water Flow on Navigation and Optimization Scheme Selection of a Power Station Jin Hu1, a 1Sichuan College of Architectural Technology,Deyang,China a478428210@qq.com Key words:A Power Station; finite volume method; fluid mechanics; numerical simulation; navigation standard; simulation conditions; optimization scheme Abstract.In the 10 million Kw daily peaking capacity project of a Power Station, the daily average flow is 10000 m3/s, the starting passing dam flow is 2800 m3/s, 10000m3/s and 17200 m3/s, and the maximum turbine flow velocity Q is 7200 m3/s.We conducts the numerical simulation of load increment and load rejection adjustment operation of the power station, the motion law of single oblique wave caused by the turbine flow and its time-varying process at the dam upstream river.This article also analyzes motion law of non-constant wave at the dam upstream river and its influence on the navigation flow condition when the single oblique
Simulation conditions When Computational Fluid Dynamics (CFD) starts to calculate, the initial conditions required to know are flow, topography, engineering condition, etc.
Numerical simulation method General form for 3D incompressible Reynolds-averaged equation -- N-S Equation is Eq(1)
Conclusions The conclusions are as follows: Numerical simulation indicates that the load increment and load rejection regulation of power station operate at the fixed the turbine flow,the starting dam passing flow change impose little effect on the initial wave generation with its motion law in the river.The turbine flow velocity change leads to hydrodynamic characteristics change in the entrance area and the imposes influence on navigation flow condition of the approach channel.
Pumped storage power station vertical shaft type an outlet 3d data simulation [J].

Energy separation phenomena of real natural gas (RNG) were investigated by means of three-dimensional Computational Fluid Dynamics (CFD) method.
In energy separation experiment and numerical calculation simulation, Cai Jie .et al. [7]took advantage of the experimental results and thermodynamic principle to analysis the behavior of refrigeration in vortex tube and got an important reason for the refrigerating effect.
Tab. 1 Basic calculation conditions Type M ω m1 Tt Pc Cp γ RNG 16.4 0.9 0.008267 296.5 169572 2083 1.106 ING 16.4 1 0.008177 296.5 169572 2049 1.108 Tab. 2 Calculation results Type △T △Tc △Th RNG 35.7 282.74 318.39 ING 36.3 285.75 322.05 As is shown in Tab. 1 and Tab. 2,The low pressure ideal and real total difference temperature basically remains unchanged under the conditions of the same μ and ρ, counted Numerical simulation error, converges and iterations etc.
Tab. 3 Basic calculation conditions Type μ ρ ω M min T Pc Cp γ HRNG 0.6757 2.662 0.9 16 0.04911 288 1650000 2563 1.085 HING 0.6709 2.778 1 16 0.04911 288 1650000 2210 1.100 Tab. 4 Calculation results Type △T △Tc △Th HRNG 29.74 264.22 294.00 HING 31.33 277.06 308.40 As is shown in Tab. 3 and Tab. 4, the HING and HRNG total difference temperature also unchanged under the same μ and ρ, counted the numerical simulation error, converges and iterations etc..

The FEM simulations using ABAQUS software is used to compute such approximations.
Interaction with fluid by using Computational Fluid Dynamics (CFD) on the structure response will significantly increase the validity of simulation to the real condition.
The simulation was getting the results to describe the elasticity of the material
The simulation purposed to have the basic response of module
The simulation purpose to obtain structure response for static load.

Veenhuizen: CFD and Physical Modelling of UHP AWJ Drilling.
Kelson: CFD Simulation and Mathematical Models of the Abrasive Waterjet Characteristics, Proc.
Brown: A Study of Abrasive Waterjet Characteristics by CFD Simulation, J.