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In this sense, this paper aims to thermally characterize the polymer (epoxy resin) composite reinforced with NiTi SMA wires through numerical simulation using the ANSYS CFX software.
The representation of the computational domain was done with the aid of ICEM-CFD 12.1 through points, curves and surfaces (Figure 2).
(a) (b) (c) Figure 4 - Representation of the hexahedral mesh generated by ICEM-CFD (a) front view, (b) details of the wire region and (c) 3D view of the sample.
In the Ansys CFX software (ICEM-CFD), this subdomain must be specified in mesh generation.
Because the function type used in the experiments (triangular type), the electric current use in the numerical simulation is defined by two functions, as follows: ; s; (9) 194s

The numerical simulation results compare with the experimental data of Car exhaust single-phase flow field Tangential velocity distribution and compared Fig.1 Numerical simulation and experiment measure compare of the whole tangential velocity Fig. 2Numerical simulation and experiment Fig. 3Numerical simulation and experiment measuretangential velocity compare in section III measuretangential velocity compare in section V Figure 1 Numerical simulation of the overall tangential velocity compared with the experiment measure.
The research progress of gasoline engine working process numerical simulation [J].
The gas flow of engine inlet numerical simulation [J].
CFD technology application in design of internal combustion engine [J].
The working process of cylinder direct injection gasoline engine 3d numerical simulation[J].

Affecting rules of main factors are studied by experiments and numerical simulation, which provide basis for thorough research.
(a) one nozzle (b) two nozzles (c) three nozzles Fig.3 Photos for different number of nozzles Numerical simulation of different nozzle number in circulation region is done through CFD software (Fluent, Gambit) [5,6].
Simulation results are similar to experimental phenomenon.
Experimental results can be indicated by numerical simulation, which is shown as Fig.9.
Experimental study and numerical simulation are done to define affecting rules of main factors, which provide basis for thorough research.

The simulation uses a reference Ti-6Al-4V metal powder with particle sizes ranging from 37 μm to 183 μm, with a median size of 67 μm (giving a simulation size of 875,000 particles).
Fig. 1 shows images from the DEM simulation.
Our first approach uses traditional CFD (computational fluid dynamics) based on the commercial package FLOW-3D with the WELD module [12].
Some early results from the CFD and SPH approaches are illustrated below.
Figure 3: Simulation of powder-bed melting of 50 µm TiAl6V4 particles using SPH.

It is the numerical simulation of the thermal properties of a special polygonal collector plate with hole in air-heating.
This study is the numerical simulation of the thermal properties of a polygonal collector plate with hole by using of the Fluent's ray-tracing solar load model.
In order to facilitate the simulation, for the physical model make the following simplifying assumptions: (1) make a R = 10mm holes in a round type on collector.
Figure 3 shows the overall distribution of the temperature field of the collector plate in simulation.
A CFD heat transfer analysis of the transpired solar collector under no-wind conditions.

A numerical simulation is used to evaluate the curvature effects of the wall on features of the interaction between discrete jets and cross flow, and therefore on the efficiency of the cooling.
The simulations were performed with a jet Reynolds number equal to 5.105 and with an blowing ratio R = 0.6.
Figure 3: Domaine de mesures et de calcul Mathematical Formulation In order to understand the physics of the experimentally flows in interaction, CFD work was carried out.
These three types are: The inlet jet, The far flow from the blade, and The wall parts of the blade.The modelled transport equations were solved using a two-dimensional CFD FLUENT6.0 code based on the SIMPLER algorithm.
Large-Eddy Simulation of a Round Jet in Cross.

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.

All the accepted papers are within the following subject areas: Acoustics And Noise Control, 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, Applied Mechanics, Automation, Mechatronics and Robotics, Fluid Dynamics, Fluid Mechanics And Machinery, Fracture, Fuels And Combustion, Aerodynamics, Textile And Leather Technology, Transport Phenomena, Tribology, Automobiles, Automotive Engineering, General Mechanics, Geomechanics, Instrumentation And Control, Internal Combustion Engines, Machinery And Machine Design, Manufacturing And Production Processes, Marine System Design, Material Science And Processing, Mechanical Design, Health And Safety, Heat And Mass Transfer, HVAC, Material Engineering, Mechanical Power Engineering, Mechatronics, Noise And Vibration
, Noise Control, Non-Destructive Evaluation , Nonlinear Dynamics, Oil And Gas Exploration, Operations Management, PC Guided Design And Manufacture, MEMS And Nano Technology, Multibody Dynamics, Nanomaterial Engineering, New And Renewable Energy, Plasticity Mechanics, Pollution And Environmental Engineering, Resistance And Propulsion, Robotic Automation And Control, Solid Mechanics, Structural Dynamics, Precision Mechanics, Mechatronics, Production Technology, Quality Assurance And Environment Protection, System Dynamics And Simulation, Turbulence, Vibrations, etc.

Using the CFD method, by the STAR-CCM+ software, we can simulate the radiation heating workshop space and solid piece.
With the development of computer technology, the fluid mechanics simulation technology has increasingly become the effective means to solve many key issues in HVAC field.
Simulation conditions 1.1 Model building and grid division.　
In the numerical simulation process, the model is in the form of polyhedron grid partitioning.
(2)The simulation shows that this system can be stable operation.

According to the structural characteristics of tent air-conditioner, the inner flow mechanism and influence factors on aerodynamic characteristics of the air duct was investigated by using Fluent commercial CFD code.
Mathematic model and simulation model setting of the air duct of tent air-conditioner According to air duct structure characteristics of tent air-conditioner, feasible simulation model established is showed in Fig. 2.
（a）Velocity curve of inlet （b）Velocity curve of outlet Fig.5 Velocity curve of inlet and outlet Numerical simulation result shows the air flow rate is 105m3/ h.
Numerical simulation air flow rate: Q=125m3/ h, air flow increase △Q=18.9%.
The simulation results show that the air volume of optimal air duct is 125 m3/ h, increase by18.9% compared to the original duct.