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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, Oil and Gas Exploration, Operations Management, 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, Textile and Leather Technology, Transport Phenomena, Tribology, Turbulence and Vibrations.

In this study, a computational fluid dynamics (CFD) study based on a finite element method (FEM) was performed for the human aorta with four different flow time patterns (healthy to full intra-aorta pump support).
[5] YJ Xuan, Y Chang, KY Gu, et al, “Hemodynamic Simulation Study of a Novel Intra-Aorta Left Ventricular Assist Decice,” ASAIO JOURNAL, USA, 58(5), pp: 462-469, September, 2012
Ladd, “Numerical simulations of particulate suspensions via a discretized Boltzmann equation.
Ladd, “Numerical simulations of particulate suspensions via a discretized Boltzmann equation.
Tarbell, “Numerical simulation of pulsatile flow in a compliant curved tube model of a coronary artery,’’ .

By evaluation and numerical simulation of the pump, results indicate that the failure occurred because of crevice corrosion and cavitation corrosion on seat surface and seal face, respectively.
SEM image on the seal surface As the situation of the fluid flow in the valve seat is quite complicated, simulation of valve opening and closing process is done by applying numerical simulation technology to obtain fluid pressure distribution in the valve seat.
The RNG k–ε turbulence model available in the CFD code FLUENT and PISO algorithm were used to solve the coupled system of governing equations.
Simulation of the suction valve (a) Pressure distribution (b) Volume fraction of vapour distribution Fig.8.
Simulation of the outlet valve Measures and Effects.

Modeling and Numerical Investigations for Launching a Free-flight Models Using Light-gas Propulsion Technology LU Xina, ZHOU Yan-huangb and YU Yong-gangc School of Energy and Power Engineering, Nanjing University of Science and Technology Nanjing, China, 210094 aluxin@mail.njust.edu.cn, bzhouyh@mail.njust.edu.cn, cyyg801@mail.njust.edu.cn Keywords: Two-stage light-gas launcher; Mathematical model; Numerical simulation; Launching performance Abstract.
The development of the CFD simulation and new instrumentation measurement techniques have aided greatly in obtaining a better understanding of the complex internal ballistic processes, as evidenced by the large gains in velocity that have been achieved in the last decade.
The control equations in pump tube are as follows: 1) Continuity equation (6) In Eq. 6, and are density and velocity of helium gas in pump tube respectively, and is cross-sectional area of pump tube. 2) Momentum equation (7) In Eq. 7, is pressure of helium gas in pump tube, and are drag coefficient and pressure loss factor respectively, and are diameter and length of light-gas chamber respectively. 3) Energy equation (8) In Eq. 8, is specific internal energy of helium gas, and Nu are thermal conductivity and Nusselt number of helium respectively, and are helium temperature and wall temperature respectively. 4) State equation of light-gas (9) In Eq. 9, and are specific heat ratio and covolume of helium. 2 Numerical Simulation Results A 30mm/120mm light-gas launcher is taken for numerical simulation using the mathematical model established in the above section.
Fig. 2 The variation of calculated piston and Fig. 3 The variation of calculated pressure on projectile velocity versus time pump versus time Fig. 4 The variation of calculated piston velocity Fig. 5 The variation of calculated projectile along with pump tube velocity along with launch tube Summary From the numerical simulation above, it can be seen that the predicted results show the general characters and trends about the firing process of two-stage light-gas launcher.

Detailed numerical simulation of short-term microgravity experiments to determine heat conductivity of melts Viktor Bánhidi1, a , Tamas J.
,Hódmezővásárhely, Pf179., H6800 Hungary 2 Deparment of Polymer Engineering, University of Miskolc, Miskolc, H3515,Hungary a banhidiviktor@gmail.com, btamassjsz@gmail.com Keywords: microgravity, heat conductivity, finite element (volume) method, fluent, simulation, CFD Abstract.
In these simulations we included parameters which are usually neglected in other "straight" numerical methods [11, 12].
Complex FVM simulations (FLUE)T of Ansys Inc.).
This is true as long as sufficiently precise thermal and rheological parameters are included in the simulation.

Presently the most wave slamming simulation research focuses on the impact pressure and less on the flow field surrounding structures.
The comparison indicates that the regular simulation models can work well to study the process of wave impact.
Numerical Simulation of Random Wave Slamming on Structures in the Splash Zone.
The Numerical Simulation of Green Water Loading Including the Vessel Motions and the Incoming Wave Field.
Prediction of Wave-in-deck Forces on Fixed Jacket-type Structures Based on CFD Calculations.

The suggestions are supported with calculations aided by computational fluid dynamics simulations.
In order to estimate the ṡ and �� values relevant to flow within CR and TR, the current experiments were reconstructed using computational fluid dynamics (CFD) simulations with the aid of a commercial package known as Flow-3D [3].
Enhanced ṡ and �� magnitudes were observed from CFD simulations at the position indicated by the arrow in Fig 4 which, in both cases, corresponds to the entry point to the runner channel leading to the tensile test piece.

Numerical simulation for gas-liquid two-phase flow along the borehole after air cutting Xiaofeng Sun1,a , Junbo Qu1,b , Tie Yan1,c ,Li Wang1,d 1Key Laboratory of Enhancing Oil and Gas Recovery in Ministry of Education,NorthEast Petroleum University,Daqing,Heilongjiang ,China 163318 asuneye@126.com,bqjbday@126.com, cyant@nepu.edu.cn, dqjbsir@163.com Keywords: Numerical simulation; Gas kick;Gas kick simulation; Well control Abstract.
Analysis of the simulation results The simulation results of group1,group2,group3 are similar, when gas invasion with fixed displacement at the speed of 0.005kg/m3, gas groups gathere at the wellbore bottom and then become large taylor bubbles during the period 0~1second[4]. 9 seconds after gas invasion, bottom of the wellbore forms stable bubble flow, distribution of gas-liquid two-phase close to steady state, bubbles disperses evenly, this process is similar to the air-underbalanced drilling, pressure of bottom hole is roughly constant.
Pressures of bottom hole vary hole and wellhead f conbination 1 distribution of combination 4 characteristics of different combinations Conclusions Establish the physical model to simulate accidents of well bottom and apply the numerical simulation methods to decrease equations, it provides very good ways to solve the transient problems of gas cut, and canrepeat the development process from gas cut to blowout .
Quantitatively calculate the different amount of gas cut and the distribution parameters of downhole ,and it is a important reference to recognize the time of flow pattern transition and the rule of blowout.When simulation gas cut under different boundary conditions, the pressure of bottom hole decreases with the increasing time of gas cut; when the quality of gas cut is constant, pressure of hole bottom begans to keep constant after reaching the minimum and no longer drop; when the pressure of gas cut is certain, pressures of bottom hole appear a significant turning point after reaching the minimum, then fluid form annular flow pattern,the process is more closer to the actual situation of blowout.
Computational fluid dynamics and Principle & application of CFD software Tsinghua university press, 2004:P 1-111, in Chinese

The possibility of its use for simulation of mini- and microchannel flow is shown in [7,8].
The temperature dependence of the water thermophysical properties was taken into account in the simulation.
The simulation of turbulence was conducted using the standard model Menter SST [28].
Dekterev, Simulation of flows in micromixers, Thermophysics & Aeromechanics (2010) 565-576
Minakov, Computer modelling of heat and mass transfer processes in microchannels using CFD-package SigmaFlow, Computer research and modeling (2012) 781-793

A computer simulation of the CIPD building helped the architects understand how to protect the west-facing atrium from solar glare.
In this case, the Computational Fluid Dynamics (CFD) and dynamic thermal energy (DTE) modeling was used to predict air movement and temperature distribution.
DTE modeling was used to study the overall energy and environmental performance of the building, followed by detailed microclimate simulations.
CFD simulations were undertaken to examine the operation of the natural ventilation concept, in particular in respect of the five ventilation shafts.
Dynamic computer simulations were carried out to assist with optimized system sizing.