Search results

Thickness measurements using image analysis are performed and comparisons with the simulation results are satisfactory.
Simulation Results The blow-moulding stage is simulated by the use of the FEM commercial software POLYFLOW.
Polyflow is a Finite-Element Method (FEM) Computational Fluid Dynamics (CFD) program dedicated to the resolution of fluid problems involving viscous and viscoelastic fluid flows [1].
This resulting median profile is used for comparison with the simulation.
The simulation results shows good agreement with experimental measurement.

By implementing Computerized Fluid Dynamic (CFD) method, Coanda-effect was introduced to get better flow characteristic (radial and tangential pressure - velocity profiles) on surface particle cleaning in AMR application.
The second phase of simulation and experiment of physical configuration.
The given parameters of the two-dimensional particle removal prototype for the numerical simulations are described in Table 5.
This was done by selecting a set of data from several design space through series of simulations.
Through the combination of decoupled form of CFD methods and key design parameters, the authors had successfully modelled and predicted the surface flow on fluids.

Based on computational fluid dynamics numerical simulation methods, this article studied the changes of resistance characteristics and tail pressure distribution on the 35° slant angle Ahmed model after installing the rear flaps.
Simulation Method As the automobile external flow is turbulent, RANS is used in research simulation.
Conclusions Different models were studied using numerical simulation methods to research the resistance characteristics and the change of static pressure distribution of the model with the tail installed clapboard, and to explain mechanism of drag reduction.
Simulation results show that only by designing the clapboard in accordance with parameter flow structure, that maximum drag reduction can be reached. 5.
Fuchs, Experiment and numerical simulations on the aerodynamics of the Ahmed body, CFD letters,2011, 3(1):32-39 [7] H.

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.
For a transient simulation, an initial condition is also required to numerically close the equations.
Since the overall error CFD computational is mainly a combination of grid density and convergence criteria.
For this purpose, before verifying our CFD numerical results first we perform a grid study case.
Fig. 2: Typical grids used for simulation.

The κ equation is derived in accordance with the strict equation derivation simulation, the ε equation is simulated by dimensionless analysis, analog and experience [5].
Fig 3 The three-dimensional mesh of poppet valve Fig 4 The grid in the xy plane of poppet valve 3.2.1 Simulation of Different Valve Element Internal Volume The volume of the valve plug inner cavity take V = 0mm3, 275mm3, 550mm3, 825mm3, shown in simulation diagram such as 6, 7and 8 are V = 275mm3, there are pressure, speed and kinetic energy of the poppet valve.
To sum up the valve element cavity volume should selected in the V = 275mm3. 3.2.2 Simulation of Different Valve Element Fillet The valve element fillet take R = 1mm, 1.4mm, 1.8mm, 2.2mm,when R = 1.4mm poppet valve’s pressure, velocity and kinetic energy of the simulation shown in figure such as 8, 9, and 10.
CFD Calculations of The Internal Flow Field of The Valve Element Movement of The Poppet Valve[D].Taiyuan,Taiyuan University of Science & Technology,2005
Examples and Applications of Fluid Engineering simulation[M].Beijin, Press of Beijin University of Science & Technology,2007

A systematic investigation of the operating parameters of these casters e.g. monitoring of oscillation parameters, slabs and mould flux, simulation and analysis of fluid flow inside mould, steel chemistry and role of dissolve gases in steel.
Fluid flow in mould has been checked by Computational Fluid Dynamics (CFD) simulations for different SEN design and SEN ramping profile.
CFD simulation of metal flow inside mould revealed there was requirement of modification in SEN design to improve flow characteristics.

The third one is the simulation and discussion.
Simulation and Discussion In this section the ESI-CFD+ software package is applied for simulation.
Besides, we are grateful to the National Center for High-performance Computing (NCHC) for computer time and facilities of ESI-CFD+ software package.
Giani: ‘Thermal simulation and experimental results of a micromachined thermal inclinometer,’ Sensors and Actuators A: Physical, 2008, 141, (2), 307-313

The experiments depicted above are simulated using CFD software FLUENT.
The correctness of the numerical model is proved by preliminary simulation with silicon-oil.
The goal of this step was to show if the simulation with this set of parameters provides the same values for the rotational velocity ω and torque M. 1 1,2 1,4 1,6 1,8 2 2,2 20 30 40 50 60 Rotational velocity ωωωω [rad/s] Torque, M [mNm] Experiment Simulation, initial set of paramters Simulation, modified set of paramters Fig. 3: Comparison of the experimental results for torque M(ω) with the numerical results using initial and modified parameter set The results of the numerical simulations are shown in Fig. 3.
The grey curve in the diagram in Fig. 3 shows the results of the simulation with the modified parameter values.
Petera: Modelling and simulation of forming processes of metallic suspensions under non-isothermal conditions, J.

Thermal Flow Simulation The schematic drawing of vertical type twin-roll casting process is shown in Fig. 1.
Based on the assumptions steady-state simulations were performed.
The above simulation results show that the temperature distribution was non-uniform because of fixed dams and the different heat flux along roll width.
Experiments and simulation of thermal flow and solidification has verified the casting conditions and strip quality.
Tavares, Inter Conf on CFD in Mineral & Metal Processing and Power Generation CSIRO 1997, p. 41

But the simulation images of the diffusion disciplinarian are not conveyed by image processing, the studies of two-dimensional fluid diffusion field are researched by digital image processing in this paper.
References [1] Jin Ying, Zhou Weigao and Ruan Yingjun: CFD numerical simulation of gas diffusion [J].
[2] Wang Hongwei, Liu Zhenyuan and Zheng Chuguang: Visual simulation of the gaseous pollutant diffusion models [J].