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More recently, CFD has been applied to the design of internal combustion engines, combustion chambers of gas turbines and furnaces [6][7].
Furthermore, motor vehicle manufacturers now routinely predict drag forces, under-bonnet airflows and the in-car environment with CFD [8],[9].
Numerical simulations of lid-driven in square and deep cavities are carried out.
Doolen, “Simulation of cavity flow by the lattice Boltzmann method,” J.
Rogg, “Lattice Boltzmann simulation of lid-driven flow in deep cavities,” Comp.

A 3D Computation of Fluid-structure Interaction in a Cyclone Separator Pan ZHANG1a, Bei WANG1a, ZhiPeng GUO1a and YaNan SHEN1a 1 College of Electromechanical Engineering, Qingdao University of Science and Technology, Qingdao 266061, China a pan_zh@qust.edu.cn Keywords: Cyclone, CFD, FEM, fluid-structure interaction.
The computational fluid dynamics (CFD) was widely utilized to simulate the gas-particle flow field in a cyclone separator [1].
Fig. 1 Cyclone configuration Table 1 Geometrical dimensions of the cyclone separator(Unit: mm) a b De S h H D B 100 40 100 100 300 800 200 75 Simulation method There are several turbulence models available for gas turbulent flow: k-ε model, ARSM (Algebraic Reynolds stress turbulence) model, RSM (Reynolds stress turbulence) model and LES (Large Eddy Simulation) model.
The RSM model can yield a more accurate prediction on swirling flow pattern on cyclone simulation than k-ε model, ARSM model [4].
Our numerical simulations show that the maximum equivalent stress and the total deformation almost linearly increases with the increases of the gas inlet velocity.

Numerical simulation.
The start-up period of honeycomb was simulated by means of computational fluid dynamics (CFD) software; the outlet temperature were obtained.
Simulation model In the numerical simulation the ceramic honeycomb is square channel, of which cross-section is shown in Fig.1.
Results and analysis For a 3-D numerical simulation model, the structure and meshes were constructed by GAMBIT, and then numerical solution was obtained from the commercially available CFD code FLUENT to investigate the thermal dynamic behavior of the honeycomb regenerator starting-up process.
In this simulation, the switching time is 30s, namely, one cycle time is 60s.

The measured air velocity then used as an input in simulation work which used Comsol Multiphysics software.
The results from simulations indicate that the air distributions in the room are below ASHRAE standard.
Subsequently, Kolesnikov[10] applied modelling to predict airflow pattern and contamination concentration in the laboratory floor plan using Computational Fluid Dynamics (CFD) The study of Computational Fluid Dynamics by other researchers had motivated the author to study and evaluate the indoor airflow distribution in mechanical ventilation room by using modelling and simulation in Comsol Multiphysics Software.
Niu, A new method of CFD simulation of airflow characteristics of swirling floor diffusers, J.
Building Simulation, (2003) 1429-1434

Through the indoor temperature, meteorological data, walls, roof, vent, vent and other structural elements, air conditioning load simulation.
Fig.2 Energy consumption simulation-Jin Yule residential area This Fig.2 chart displays average and total simulation data for the current building.To study the building of the year temperature,heat gains and energy consumption,the first chart shows room electricity and heating（gas）with the trend of the month.the second shows the temperature trends over the month, the third shows a thermal equilibrium with the changing trend of month. 3.Heat load data If the user can define in less than 1 hours of time step, using integrated synchronous load / system / device simulation method, heat balance method was used to simulate the load, muti-regional air flow, thermal comfort and photovoltaic system.
Wind field simulation, the indoor air quality analysis software is not limited to outdoor, it can help us to the outdoor heat simulation analysis, considering the HVAC systems Fig.4, solar radiation, surface structure on the indoor thermal environment simulation analysis of the influence of double glass curtain wall, inner heat flow analysis, environment on human comfort simulation.
Fig.4 CFD-Jin Yule residential area Fig.5 The amount of sunlight-Jin Yule residential area 5.The lighting calculation and report The amount of sunlight on the lighting control system model of computation, save electrical lighting.
Conclusion In this paper, through analyzing the simulation method of environmental performance of building systems, combining Jin Yule residential building as an example, through the construction of the environment simulation, performance prediction after the completion of the construction environment, emphasizes significance to the further study on the construction of the building environment performance.

The effect of the cavity design parameters on the integrated performance parameter net thrust of hypersonic vehicle was investigated by computer numerical simulation methods in this paper.
Therefore, in this paper, we will present the influence of cavity geometric design on the net thrust of hypersonic vehicle by numerical simulation method.
(a) (b) (c) Fig.1 Sketch of Hypersonic Vehicle Computational Method Computational fluid dynamics (CFD) is employed to analyze the influence of cavity geometric design on the net thrust of hypersonic vehicle.
CFD Capabilities for Hypersonic Scramjet Propulsive Flow path Design.
CFD-Based Aeroelastic Analysis of the X-43 Hypersonic Flight Vehicle.

In this study, CFD software FLUENT is used to solve the governing equations.
Comparison between LDV experiment and numerical simulation It is the same flow rate both in the numerical simulation and in the experiment to make sure the reliability of the comparison between LDV experiment and numerical simulation.
Table 1 shows the comparison between LDV experiment and numerical simulation.
[08] Wilcox D C: Turbulence Modeling for CFD.Second Edition.
[09] Fujun Wang: Computational Fluid Dynamics - Principle and Application of CFD Software (Tsinghua University Press, 2004)

The results show that when the mass flow rate between 40-90kg/s the CFD software predicted very well pump heads and efficiencies with experimental data, which was called optimized impeller.
Luckily, the fast progress of computational fluid dynamics (CFD) software provides engineers better tools to improve the design.
The CFX Turbo-mode was used for CFD processing.
Blade and flow regions for simulation Fig.4.
Akbari, The flow simulation of a low-specific-speed high-speed centrifugal pump, Applied Mathematical Modelling, 35 (2011), pp. 242-249.

Numerical Simulation of Suction Valve Internal Flow Field of Large Scale Diaphragm Pump Fluid End Based on ADINA Xue-qin Ling1,a, Wei Zhang1,b, Yang Chen1,c 1NFC (Shenyang) Pump Machinery Co Ltd, Shenyang, China amythcy@126.com, bzwnspi@163.com, ccynspi@163.com Keywords: Diaphragm pump; Suction valve; Numerical simulation; ADINA Abstract.
In this paper, numerical simulation of internal flow field of different suction valves have been done by fluid-solid coupling module in finite element analysis software ADINA.
Fig. 2 Finite element models of structure A suction valve Fig. 3 Finite element models of structure B suction valve Results of Calculation and Simulation Flowing states of structure A and B suction valve at different times (0.5s and 1s) have been simulated by fluid-solid coupling module of ADINA.
References [1] ADINA User Interface Command Reference Manual Volume III: ADINA CFD & FSI Model Definition, Report ARD 09-4 May 2009, ADINA R&D, Inc
[3] ADINA Theory and Modeling Guide Volume III: ADINA CFD & FSI, 09-4 May 2009, ADINA R&D, Inc.

Fig.1.Mesh used in the simulations and the system dimensions The fluid dynamic simulation was accomplished in the software Fluent® and the main contour conditions: air feeding velocity (1.56 m/s), permeability (4.69x10-10 m2), porosity (82%), thickness (2.5x10-3 m), relative humidity of the air (20%) and temperature (300 K), were derived from [4].
It was a two-dimensional fluid dynamic simulation with approximately 530.000 computational cells.
Results and debates As indicated in the fluid dynamics simulations in [3], the pressure drop in the studied filtering system was dependent on the position of feeding gas, and this dependence was confirmed in the simulation with the feeding in the bottom of the filtering box, according to the Figure 2.
These authors’ fluid dynamics simulations indicated that the bag “1” was the one that provided a higher rate of filtered element among all bags.
In the Figure 3, you can examine the results of the [3] work, and the results of the simulation with a feeding in the bottom of the filtering box.