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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.

Finally, Colegrove and Shercliff used a CFD commercial software for a 2D and 3D numerical investigation on the influence of pin geometry during FSW [10], comparing different pin shapes in terms of material flow and welding forces based on both a stick and a slip boundary condition at the tool-workpiece interface.
As far as numerical simulation of Aluminum-Magnesium mixed joints is regarded, no paper is known by the author in literature.
In order to take into account the two materials in the same simulation object, a dual phase material was defined.
A “phase transformation” was then induced in half sheet only before the beginning of the simulation of the FSW process.
After this first stage, the fictitious phase transformation was disabled in order to permanently have the two materials in the same simulation object.

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..

Numerical Method This paper uses CFD technology to solve the steady three-dimensional RANS equations, for obtaining detailed flow field parameters, choosing compressible ideal gas as calculation materials.
Spalart-Allmaras model is selected to solve turbulence equation, which has strong fault tolerance ability and suits for simulation the complex flow, to ensure accuracy and efficiency of the calculation.
In the simulation process, when the pressure ratio reaches maximum value, convergence error decreases slowly and has obvious cyclical fluctuation, which implicates that the compressor has appeared to stall[8].
In brief, compressor performance of numerical simulation coincides well with experimental data, especially, predicting the stall boundary with fairly accuracy.
So the numerical simulation method and the grid used in this article for prediction is credible.

Mixed Convection Heat Transfer of Shear-Thinning Fluids around Confined Square Cylinder at Low Reynolds Number Laidoudi Houssem Laboratoire des Sciences et Ingénierie Maritime, Faculté de Génie Mécanique, USTO-MB, BP 1505, El-Menaouer, Oran, 13000, Algérie houssem.laidoudi@univ-usto.dz Keywords: Heat transfer, square cylinder, Mixed convection, Numerical simulation, Nusselt number.
This present CFD package applies the finite volume method to covert the governing partial differential equations into a system of discrete algebraic equations by discretizing the computational domain into grid mesh.
Results and Discussion Flow patterns and isotherm profiles The numerical simulations of shear-thinning fluid flow under the effect of thermal buoyancy strength have been carried out for Ri = 0 to 1, n = 0.3 to 0.9 at fixed values of Re = 40, Pr = 1 and blockage ratio β = 1/4.
Summary The numerical simulations of Non-Newtonian shear-thinning fluids around a confined square cylinder under the effect of superimposed thermal buoyancy are carried out to understand and to determine the combined effect of buoyancy strength and rheological behavior on fluid flow and heat transfer characteristics in the range of these conditions: Ri = 0 to 1, n = 0.3 to 0.9 at fixed values of Re = 40, Pr = 1 and β = 1/4.
References [1] Amir Nejat, Vahid Abdollahi, Koohyar Vahidkhah, Lattice Boltzmann simulation of non-Newtonian flows past confined cylinders, Journal of Non-Newtonian Fluid Mechanics 166 (2011) 689–697

To add reliability to numerical simulations, Uncertainty Quantification is considered to be a crucial tool for clinical decision making.
In this work, we focus on the calibration of aortic fluid-structure simulations.
In total, only 17 deterministic sample simulations were required to compute the polynomial chaos modes.
[4] Chung, B. and Cebral, J., CFD for evaluation and treatment planning of aneurysms: Review of proposed clinical uses and their challenges.
Enhancing 4D PC-MRI in an aortic phantom considering numerical simulations SPIE: Physics of medical imaging, 9412-47 (2015)

Besides,with the rapid development of modem computer technology,the computers’ speed of calculation improved and calculate capacity expanded,the computers’ simulation technology have been developed and applicated.
The investment of computer numerical simulation method is small,the circle is short,and it can conveniently solve the related problems of buildings’ wind environments.As the CFD theory’s improvement and the computer technology’s development,the numerical simulation method has been paid more and more attention in the research field of buildings’ wind environments.It also has been used to simulation analysis the buildings’ wind environments [10] (Figure 3 and Figure 4 are the example analysis by the author).Compared with the traditional physical simulation experimens,the advanced computer simulation technology is more convenient,and it can provides guidance suggestions more accurate and efficient.In the beginning of designing,analysis the wind environment surrounding and timely optimize the design scheme,that will efficiently improve the inside and outside living space environment,provides more scientific and reasonable suggestions for designing,creates more comfortable living environment
Figure 3 ,Figure 4 The buildings’ wind environment’s numerical simulation of Tongji new estate,Shanghai Healthy mental environment According to the analysis of the environment-behavior studies,nowadays,people’s living requirements have gradually developed to the direction of spirit field,include the psychological,cultural and some other aspects.Residents wish them not only own a house for living,but also need a place for communicating cultures and emotions.This is an urgent need for the back of traditional living ideas,namely fulfill people’s spiritual requirements of neighborhood association.Long time working pressure make our lives lack of too much social communication,spiritual communication.Humans are not living alone biological.If living alone for a long time,humans will begin to look for the real demand that deep in their hearts.
[4] Yunping Li.Analysis the wind environment simulation and research on the design strategy of high-rise residential in cold region [D].Harbin: Harbin Institute of Technology,2007

In the recent years, an amount of research has been investigated in the modelling from thermal models to microstructural models, mechanical models and complex computational fluid dynamics (CFD) models [16-19].
Simulation models can identify the proper parameters without expensive experimental testing.
To validate the accuracy of our simulation results, we have compared some of them with those of Khairallah et al. [24-26].
Wegener, “Melt pool simulation for the evaluation of process parameters in selective laser melting”, Addit.
Anderson, Mesoscopic simulation model of selective laser melting of stainless steel powder, J.

Abstract. 2D simulations of incompressible fluid in plan channel of waved bottom wall is carried out in this paper to understand and to determine correctly the effects of the Reynolds, Prandtl and Richardson numbers on the fluid flow and heat transfer of waved channel wall.
Benchabi and Lanani [4] presented a work consists of a numerical simulations of turbulent incompressible flow of Newtonian fluid with forced convection heat transfer inside of corrugated channel using computer code.
Also, Laidoudi et al. [8] analyzed through numerical simulations the incompressible flow of Newtonian fluid inside a plan channel where there is the tandem of three circular cylinders.
This present CFD package applies the finite volume method to covert the governing partial differential equations into a system of discrete algebraic equations by discretizing the computational domain into grid mesh.
[6] Bouzit F., Laidoudi H., Bouzit M., Simulation of Non Newtonian Power-Law Fluid Flows and Mixed Convection Heat Transfer inside of Curved Duct.

Design for Simulation &Maintenance System of Water Quality in Beijing Olympic Forest Park [J].
The two-dimensional numerical simulations for the flow field of Furong Lake base on CFD [D].
Research on water quality simulation and prediction of small scenic water body [J].
Numerical Simulation on Hydrodynamic Character for Algae Growth [J].Environmental Science, 2008, 29(4):886-888. ,[]Zhang Yimin, Zhang Yngchun, Zhang Longjiang.
In the case of test T3-2, outlet3 is removed on the basis of T3-1, its simulation test results are shown in Figure 10.