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Numerical Study of the Influence of the Geometric Parameters of a Radial Crystalizer Using a Multiscale CFD Model Gustavo Villela Rodrigues1,a*and Cezar Augusto da Rosa2,b 1Universidade Federal do Rio Grande, FURG.
Computational fluid dynamics (CFD) is an excellent tool to simulate, analyze and design complex flow systems, such as micromixing phenomena, which occur in crystallizers [1].
In all simulations, the total mass flow (solution + antisolvent) was kept constant and equal to 1.0 kg/s, corresponding to an average residence time of 1.0 s.
The simulations were carried out in a transient regime until the steady state was reached.
The use of the OpenFOAM/openCrys software in the various simulations allowed experimenting, through software, a real phenomenon remotely, which is crystallization.

Subsequently, CFD simulations of these gaits were carried out and used to define the repertoire of motions that bio-robotic fins be able to perform.
Comprehensive studies have been carried out to assess the effect of the grid resolution and domain size on the salient features of the flow and also to demonstrate the accuracy of the selected grid for the "complete motion" (CFD simulation of experimentally extracted fin kinematics) [3].
In these simulations, the Strouhal number is kept constant at the nominal value of 0.54.
Fig. 6 shows vortex structures for this set of simulations at the end of fin-beat cycle.
Although the modes interact nonlinearly to produce the thrust, the CFD simulation showed that Mode-1, which is a cupping and sweep motion, was able to produce positive thrust throughout the fin beat without being combined with any other modes.

This article first gets the hydrodynamic parameters with CFD and then builds the equations of motion, and the system simulation test was carried out with Matlab and Adams.
The simulation lays a foundation for the development of engineering prototype.
The platform of the moving turbine Numerical simulation of hydrodynamic parameters The hydrodynamic parameters of the system are obtained from CFD.
Fig.6 Mathematical model of the cable with Adams Simulation and test of the system The aim of the simulation is to get the system features, in order to verify and optimize the design.
The following below is a system-level multidisciplinary collaborative simulation schematic.

A Aerodynamic Performance Research on a Wing Added Winglet REN Zhi-ni1,a , ZHU Shi-xing1,b 1Civil Aviation University of China ,Tianjing ,China arenzhini111@163.com , bsxzhu@cauc.edu.cn Key words: Winglet ; Aerodynamic benefit; CFD technology; Angle of attack Abstract: In order to reveal the science of adding winglet for Active aircraft, the paper calculates the aerodynamic efficiency of a wing added winglet using CFD technology, Aerodynamic benefit of the wing added winglet reaches the maximum when the angle of attack is 2 degree, the lift and drag reduction rate are 21.07% and 43.56% respectively.
Computational results and analysis The paper does the simulation calculation with the FLUENT uncoupled, implicit, unsteady 3D solver, the results as shown in Table 1 and Table 2.
87.217245 187.5841 3° 150.6713 87.079079 237.75038 40 200.84303 86.97036 287.81339 50 249.19419 86.521233 335.71543 Lift [N] 0° 2705.3104 -0.60409521 2704.70631 1° 2751.6728 -0.60615248 2751.06665 2° 2801.4886 -0.60849757 2800.8801 3° 2810.8514 -2.1012937 2808.7502 40 2829.6230 -3.6012281 2826.0217 50 2847.8659 -5.140641 2842.7253 Table 2 The aerodynamic calculation results of the original wing Ma Sort Attack Angle Pressure force[N] Viscous force[N] Total force[N] 0.8 Resistance [N] 0° 211.3507 66.1732041 277.523924 1° 240.1431 66.4290770 306.572147 2° 265.7991 66.5763670 332.375467 3° 294.9971 66.9135621 361.910662 40 337.8598 66.8203006 404.680101 50 378.7698 66.6881680 445.457968 Lift [N] 0° 2298.6079 -0.3007630 2298.30714 1° 2301.4518 -0.3158194 2301.13598 2° 2313.7761 -0.3364567 2313.43964 3° 2389.8596 -1.5257791 2388.33382 40 2415.4854 -2.6812813 2412.80411 50 2434.9908 -3.8311401 2431.15966 In contrast to the two kinds of aerodynamic simulation
Conclusion Using CFD can correctly solve the wing's aerodynamic efficiency.

The hypersonic intake designed for Mach 5 is validated with CFD results and compared with analytical results using python code.
To enhance the accuracy of simulations second-order discretization and grid adaptive technique is proposed by Sandeep et al [6].
The main objective of the present paper is to develop a detailed design procedure for Scramjet intake based on the factors discussed for various operating conditions and the design is to be verified by CFD simulations.
Fig. 8: Effect of Mach number on Cowl length and isolator height CFD Analysis Results and Discussions CFD Analysis is carried out by designing and structured the mesh of intake geometry in ANSYS ICEM CFD.
The double ramp hypersonic intake design has satisfied all the requirements and validated with CFD results.

Therefore, technical analysis and model simplification are necessary when we use CFD to do the analysis.
CFD simulation analysis Current research of Natural ventilation focuses on the design of natural ventilation with traditional experiences, most of which are qualitative design, lack of quantitative analysis results of energy-saving.
Currently, there is wind tunnel simulation and CFD used in quantitative analysis, with the development of computer technology, CFD has been widely used for its inexpensive and convenient way.
This simulation is based on the ground floor of Wenyuan Building, in the middle is the corridor, on both sides of which are symmetric classrooms.
Through above simulation experiment, we have a quantitative visual simulation of air velocity field and air-age distributions in different high levels as well as have a comprehensive and more intuitive understanding of principle of natural ventilation of modified Wenyuan Building.

Numerical Methods Multiphase Modeling The commercial CFD software FLUENT is used to model the gas-liquid two-phase flow regimes.
Several runs of simulation had been performed by varying the cells density.
Simulation of Oil-Gasoil Vapour Flow This section reported the 3D simulations of slug transition for two-phase oil-gasoil vapour flow in horizontal pipe.
Holdo, "Modelling two-phase flows using CFD," Applied Energy, vol. 53, pp. 299-314, 1996
Nasif, "Simulation of two phase oil-gas flow in pipeline," APRN Jour.

The results of the simulation are shown in Fig. 3.
According to that, CFD (Computational Fluid Dynamics) simulation programs were used to map the material flow and subsequent form filling optimisation [5].
Temperature in °C Fig. 3: Thermal design of the forming tool using FEM simulation (left).
Fluidic design of the forming tool for an artificial hip joint, using CFD simulation (right) Material constants are used to allow for the material-specific, fluid dynamic properties in the semi-solid state.
Figure 3 (right) shows the form filling of the artificial hip joint, calculated by CFD simulation (blank part geometry: D=40mm x H=50mm, blank part temperature: JR=1630°C, tool temperature: Jtool=600°C to ~650°C ram speed: 400 mm/s) and the dynamic viscosity characteristic in [Pa∙s] for a TiAl6V4 alloy.

We also examined how the air exchange rate of the room, the loading factor of the sorptive materials, and the mass transfer coefficient influenced the sorptive performance; these effects were well reproduced experimentally with computational fluid dynamics (CFD) simulations.
Table 1 shows the details of the cases considered in the CFD analysis.
The boundary conditions for the CFD analysis are given in Table 2.
Model used for CFD analysis Fig. 2.
Cases considered in CFD analysis Case Temp.

In the present work, the commercial CFD code FLOW 3D™, has been used to simulate the mould filling and solidification during the LPC process.
Such variables can be easily optimized using simulation techniques.
The present study uses FLOW 3D™, which is a finite difference method (FDM) based commercial computational fluid dynamics (CFD) code for analysing fluid flow and heat transfer occurring throughout the LPC process.
Initial and Boundary conditions The pressure sequence used for the simulation is depicted in Figure 1(b).
For solidification simulation only the energy equation is solved including phase change.