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Using finite element analysis using ANSYS software FLOTRAN CFD calculation flow field within the closed cavity structure of the drum-shaped jet gyro sensitive components with angular velocity distribution change, which reveals the jet gyro sensing mechanism of the drum-shaped cavity structure.
Detection bridge Physical model The main airflow passage of the nozzle body as the object of study, the drum-shaped cavity for the symmetry axis of a symmetrical structure, in order to facilitate modeling calculations can be drum Zhuang cavity actual size simplified two-dimensional simulation based on the center axis of the jet gyroscopestructure, as shown in Figure 2, the total length of the gas flow area of 20mm, inlet width is designed to 1 mm, x axial boundary of the cavity length of 9mm, y is a boundary in the axial direction through the endpoints of the x axial boundary radius of 20mmarc, the exit width of 4mm, as shown in Figure 3, q1, q2 is a point heat source located at the outlet of 1.5mm at the two symmetric thermal Minsi simplified.
Finite Element Method ANSYS software FLOTRAN CFD module can be used in the analysis of two-dimensional and three-dimensional fluid motion law advanced tool [4], usually consists of three steps, modeling, applied load and computing Modeling (1) Select the type of analysis.
Select the the ANSYS software FLOTRAN CFD module
“Numerical simulation of practical engineering in ANSYS”[M].

Moraveji and Hejazian [13] were numerically study a fully developed turbulent of heat convection nanofluid flow inside straight channel using(CFD) method without the influence of magnetic field with Reynolds’s number ranging between 3000 and 22000.
In this paper a modeling of (3D) turbulent flow containing magnetic nanofluid with average nanoparticle diameter (13nm) in a horizontal straight square channel, triangular channel and circular tube was investigated using (CFD) tools.
Conclusion In this study, a numerical investigation was carried out on the effect of flow rate, nanofluid concentration and changing the cross section of channels on average Nusselt number and friction factor using CFD tools.
Results of this study showed that: 1- The Nusselt number and correspondingly the amount of heat transfer enhanced with increasing the Reynolds number and volume concentration of nanoparticle. 2- The friction factor decreased with increasing the Reynolds number and the increasing the volume concentration has a poor effect. 3- There was a good agreement between the simulation results of fluid flow inside tube and experimental correlation from the literature. 4- By applying the simulation results, three equations for average Nusselt number prediction for three different channels (square channel, triangular channel and circular tube) were correlated.

Numerical Simulation and Comparison on the Inner-flow Field in Hydraulic Feedback Pump Shuqin Xiao1,a, Duanyin Zhu*2, b, Shuangquan Liu3, c 1Oil & Gas Technology Institute, Changqing Oil Field Company Xi'an 710018,China 2School of Mechanical Engineering, Xi’an Shiyou University, Xi’an, Shaanxi province, 710065, China 3National Engineering Laboratory for Exploration and Development of Low-Permeability Oil & Gas Fields Xi’an 710018,China bzhudy@xsyu.edu.cn Keywords: Inner-flow Field; Numerical Simulation; Fluent; Optimal design Abstract.
Therefore through numerical simulation and comparison of several options selected, the design can be further optimized, can more scientific selection and matching of production technology and solutions.
Conclusion Through inner-flow field numerical simulation of the three different types hydraulic feedback pump, can be concluded that under the same working condition, the inward and outward pressure difference of the big up and down hydraulic feedback pump is the largest, the internal pressure difference of pump increases with hollow sucker rod pump, can better finish oil swabbing, improve the efficiency of the hollow rod pumping system.
FLUENT fluid engineering simulation examples and application [M].
Proficient CFD engineering simulation and case combat[M].Beijing: people’s posts and telecommunications publishing house, 2011.

The accuracy of inclusion motion simulation was determined by the turbulence model and boundary condition.
Solution Procedure The CFD software CFX was used to solve the continuity, momentum, and turbulence equations.
Results and Discussions Computer simulation result.
Comparison of simulation result and experiment result.
And the simulation result was compared with the experiment result to evaluate its reasonability.

The desire of computational fluid dynamists, CFD has long been the possibility to use a unique mathematical formulation together with a unique numerical method to examine the variety of thermo fluid dynamics problems [19, 20].
However, a high capacity equation solving computer software package (EES 1994) has become available, working within personal computer based Windows employing CFD to solve second law problems [9].
B bTa , (8b) where E E t a )( 1 δ = , w w t a )( 1 δ = , ap=ae+aw and b= tSt T Q gen∆+∆ , In this case, the differential equation (8a) is solved by algebraic method of equation (8b), which is the beauty of CFD.
Vallury. 2nd law analysis of sage and CFD- ACE+ Models of MIT Gas Spring and Two-Space Test Rigs, First Year Report, NASA Grant NAG3-2811 Providence, Cleveland, Ohio. 2004
Integration of simulation technology into undergraduate engineering courses and laboratories, ASEE 2003 Annual Conference, Nashville, TN.

Multidisciplinary Design and Simulation Process.
Master model is abstracted to construct the simulation context model, which is used to perform engineering simulation.
Design and simulation is a repeated iteration process.
The simulation flow runs in the multidisciplinary simulation platform.
The platform can integrate the common used commercial CAD/CAE/CFD software and build design and simulation flow.

In these simulations, Finite Element Method (FEM) analysis is used to investigate in detail the mechanical and thermal stresses in different parts of the damper [5].
Fig. 4 Silencer damaged by intense shooting e.g. combat action Fig. 5 Silencer after intensive training ammunition 5.56 x 45NATO Marginal Conditions For simulation purposes, we define a dynamic waveform of increasing pressure and then decreasing pressure as a function of unit time Fig. 6, representing the entire course of action of the projectile ejection from the chamber to leaving the silencer to the subsequent loss of pressure [9].
Tab. 2 Muzzle pressure pre .223 Rem/5.56NATO Parameters Parameter value Overall barrel length [mm] / [inch] 368 / 14.5 Weight and type of bullet FMJ [g] / [gr] 3.56 / 55 Lenght trajectory in barell [mm] 323 Powder type D073.4 Weight powder [g] / [gr] 1.65 / 25.5 Energy of the powder charge [J/kg] 341 600 Density of powder [kg.m-3] 1 540 Maximal pressure [bar] 2 400 Muzzle energy bullet [J] 1 123 Muzzle velocity [m.s-1] 793 Bullet exit time of barell [m s] 0.085 Muzzle pressure [bar] 986 Specific volume of gases [dm3] 1.4 Dust gas discharge rate [m/s] 802 CFD simulation suppressors The primary subject of the CFD simulation is the model design of the damper Variant A Fig. 8 body consisting of a variable chamber system.
CAD models designed for simulation were created in the Solidworks environment.
The course of the simulation in the time range from 0 s to 0.1 s, based on the calculation from the previous chapter, the projectile leaves the barrel in 0.085 s.

In the present work, a computational fluid dynamics (CFD) model, based on the micromixer geometry and experimental conditions proposed by Ahmed et al. [3], has been used to numerically investigate the micromixing enhancement by ultrasonic vibration.
Theory and background The numerical simulations were performed using FLUENT.
The direct simulation method consists in solving the complete Navier-Stokes equations via the simulation software without making any assumption for each time step.
Thus the major disadvantage of this direct simulation method is very costly in computer time.
This flow pattern has been perfectly reproduced by the numerical simulation (Fig.4 (b)).

Computational Fluid Dynamics (3-D CFD) analysis has been attempted in [9,10] and demonstrated the advantages of these MR fluid bearings. 2 Steady State Characteristics A commonly used bearing in machinery, the hydrodynamic journal bearing is shown in Fig. 1.
Papadopoulos, CFD analysis of journal bearing hydrodynamic lubrication by Bingham lubricant, Tribology International, 41(2008) 1190-1204
Nikolakopoulos, CFD Simulation of magnetorheological fluid journal bearings, Simulation Modelling and Practice theory, 19 (2011) 1035-1060

According to the main results [6], based on experimental data and Computational Fluid Dynamics (CFD) studies, it was concluded that it was possible to combine in a single device, high separation efficiencies with low Euler numbers (Eu).
According to experimental studies and CFD simulations, it was found that the filtration associated with the hydrocycloning was a beneficial phenomenon, because it decreased the Euler number and the cut size diameter (d50), when compared to the conventional H11, under the same operating conditions.
The experimental results of Euler number for hydrocyclones H11-A and H11-B are consistent with the predictions [12], made from the CFD techniques.
Such behavior is in agreement with the CFD literature predictions, which showed that a rotating feed suspension could reduce the tangential velocity gradients within the hydrocyclone, responsible for the separation of a significant portion of particles.