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This book covers these topics: Acoustics and Noise Control, Aerodynamics, Applied Mechanics, Automation, Mechatronics and Robotics, Automobiles, Automotive Engineering, Ballistics, Biomechanics, Biomedical Engineering, CAD/CAM/CIM, CFD, Composite and Smart Materials, Compressible Flows, Computational Mechanics, Computational Techniques, Dynamics and Vibration, Energy Engineering and Management, Engineering Materials, Fatigue and Fracture, Fluid Dynamics, Fluid Mechanics and Machinery, Fracture, Fuels and Combustion, General mechanics, Geomechanics, Health and Safety, Heat and Mass Transfer, HVAC, Instrumentation and Control, Internal Combustion Engines, Machinery and Machine Design, Manufacturing and Production Processes, Marine System Design, Material Engineering, Material Science and Processing, Mechanical Design, Mechanical Power Engineering, Mechatronics, MEMS and Nano Technology, Multibody Dynamics, Nanomaterial Engineering, New and Renewable Energy, Noise
and Vibration, Noise Control, Non-destructive Evaluation, Nonlinear Dynamics, PC guided design and manufacture, Plasticity Mechanics, Pollution and Environmental Engineering, Precision mechanics, Mechatronics, Production Technology, Quality assurance and environment protection, Resistance and Propulsion, Robotic Automation and Control, Solid Mechanics, Structural Dynamics, System Dynamics and Simulation, Tribology, Turbulence and Vibrations.

Wu)* Keywords: Oscillatory Flow Reactor, Conic Ring Baffles, Temperature Field, 3-Dimensional Simulation.
The temperature field of conic baffled OFR was obtained by using the commercial CFD package CFX11.0.
Results and discussion Two groups of oscillatory Reynolds numbers are selected among a large number of simulation results which cover a range of Reo from 400 to 7000 with Reo=0 to illustrate the heat transfer mechanism in OFR.

In 1980, Hwang and Stoehr [1-4], for the first time, applied the MAC (marker and cell), and SMAC (simplified MAC) methods in the numerical simulation of the casting process using a computational fluid dynamics (CFD) approach.
Joseph et al. [10] designed two runners through experiments and the CAE simulations, and to compare the actual finished products and the corresponding simulation results.
These models were recently performed in the commercial simulation software ProCAST.
Figure 6 shows the simulation results of solidification evolution of the modified pouring system.
Niyama, in: Quasi Three-Dimensional Mold Filling Simulation System for Prediction of Defects in Die Castings, Conf.

akhai_qimy@yahoo.com, bammar@ump.edu.my,c idriss@ump.edu.my Keywords: Aerodynamic, CFD, Drag, Pressure Coefficient.
During the simulation test, the wind tunnel speed varied to evaluate the effect of Reynolds Number on the measured drag.

Numerical simulation method is utilized to study phase change materials’ melting process.
Physical Model The simulation model of latent heat energy storage device is shown in Fig 1.
Simulation model Fig.2.
Simulation utilizes finite volume solvers using segregated method for equations solving.
The simulation result of this paper is with a “—”representation.

To evaluate the proposed method, experimental work with existing was conducted and good agreement between simulation and experimental results.
To evaluate the proposed method, experimental work with existing was conducted and good agreement between simulation and experimental results.
(a) Simulated spray velocity (b) Spray half angle captured by camera Fig. 6 Simulation and experimental results (d = 0.35mm, l = 0.26mm) Table 4.
To evaluate the proposed method, experimental work with existing was conducted and good agreement between simulation and experimental results.
[4] Yonggui Xu, Mingyan Liu, Can Tang, Three-dimensional CFD–VOF–DPM simulations of effects of low-holdup particles on single-nozzle bubbling behavior in gas–liquid–solid systems, Chemical Engineering Journal. 222 (2013) 292-306

However, it is often ignored by using a static contact angle in droplet moving studies, which may significantly reduce the accuracy of the simulation.
With this model, simulation can be done with commercial softwares such as Fluent, comsol(FEMLAB), Reorient normal vectors to the interface along the solid surface using dynamic contact angles Evaluate surface tension force using Eq.13 and electric force using Eq.11 Evaluate velocity and pressure using Eq.6, Eq.7, Eq.8 and Eq.9 Evaluate using Eq.16 Evaluate static and dynamic contact angles using Eq.10 and Eq.15 Reapply velocity B.C.
Fig.1 Algorithm to advance the solution by one time step CFD-ACE+ and CoventorWareand etc.
Bussmann, in: Height functions for applying contact angles to 2D VOF simulations.

To solve the coupled pressure and velocity, the SIMPLE algorithm is used, and to increase simulation accuracy the Adam-Bashforth, QUICK and central difference schemes are employed for time, convection, and diffusion terms respectively.
The developed code is used to model CNCBLs which typically require a large amount of simulation time.
In this study, a series of two dimensional direct numerical simulations (DNS) are carried out to examine the behaviour of unsteady CNCBLs in an air filled rectangular cavity with a centrally positioned conducting partition.
Code validation In order to validate the CFD code, the numerical results are compared to the experimental data provided by Ampofo and Karayiannis [2] for the case of Ra = 1.58´109, Pr = 0.71, TH = 50 oC and Tc = 10 oC for the non-partitioned cavity.
It is seen that the simulation results are in reasonably good agreement with the experimental results.

In this paper, a simulation was set up to study the heat transfer of a porous channel subjected to various oscillatory frequencies of pulsation flow.
(a) (b) Fig. 1 The porous channel heat sink and its subunit In this paper, a CFD package, ANSYS FLUENT 12.0 was used to this simulation.
(a) (b) Fig. 4 Local Reynolds number and Nusselt number from inlet to outlet on heat sink, q=80 W/cm2: (a) local Reynolds number, (b) local Nusselt number Conclusions In this study, simulations were conducted to study the heat transfer of a porous channel subjected to a pulsating flow.

Numerical simulation on upheaval buckling of offshore pipelines is carried out using finite element software ABAQUS.
Offshore Pipelines Numerical Model 1.2 Seabed Soil Model The height of seabed soil model is 4m, width of seabed soil model is taken 10 times of the diameter of pipelines, (i.e. 5.5m), length of seabed soil model is taken 100 times of the diameter of pipelines (i.e. 50m)[5], and the depth of offshore pipelines buried in the seabed soil is 1m.The interaction between seabed soil and offshore pipelines is very complex, Moor-Coulomb plasticity model is used in the numerical simulation of seabed soil, mainly through parameters of friction angle, expansion angle and cohesion to describe the mechanical properties of the soil. 1.3 Oil model Oil model is created by finite element software ABAQUS/CFD module and oil element type is FC3D8.
In the process of simulations, the interaction surface will change.