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Online since: August 2014
Authors: Mazlan Mohamed, A.M. Mustafa Al Bakri, Razak Wahab, A.K. Zulhisyam, M.R. Mohd Sukhairi, M.H.M. Amini, A. Mohammad Amizi
This research used CFD software to analyze the heat transfer from microprocessor in mini wind tunnel.
The model used in this simulation consists of a wind tunnel contain a motherboard and four microprocessor.
The side view of the simulation setup for electronic packaging is shown in Figure 1.
The two types of thermal interface material were used in this simulation setup (NCT & Gad Pad 2500).
Fig. 1: Simulation Setup for thermal interface material (side view) Table 1: Dimension of Components Used in Simulation.
The model used in this simulation consists of a wind tunnel contain a motherboard and four microprocessor.
The side view of the simulation setup for electronic packaging is shown in Figure 1.
The two types of thermal interface material were used in this simulation setup (NCT & Gad Pad 2500).
Fig. 1: Simulation Setup for thermal interface material (side view) Table 1: Dimension of Components Used in Simulation.
Online since: August 2013
Authors: Jing Liu, Fei Ma, Tao Tao Shui
Numerical simulation of cross-ventilation in buildings affected by surrounding buildings with different separation distances
Taotao Shui1, a, Jing Liu1,b and Fei Ma1,c
1School of Mechanical Engineering, University of Science and Technology Beijing, Beijing, China
alidd_003@163.com, bJingliu1998@yahoo.com.cn, cyeke@ustb.edu.cn
Keywords: Numerical Simulation, Cross-ventilation, Street Canyon, Detached-eddy Simulation
Abstract.
In order to investigate natural cross-ventilation in buildings, computational fluid dynamics (CFD) with the DES model is applied.
This paper applies the CFD method to study cross-ventilation driven in buildings affected by surrounding buildings.
Simulation Setup Building Models.
Numerical simulations were performed by the CFD code FLUENTTM 6.3.
In order to investigate natural cross-ventilation in buildings, computational fluid dynamics (CFD) with the DES model is applied.
This paper applies the CFD method to study cross-ventilation driven in buildings affected by surrounding buildings.
Simulation Setup Building Models.
Numerical simulations were performed by the CFD code FLUENTTM 6.3.
Online since: July 2011
Authors: Yong Jin, Zheng Lin Liu, Ru Yi Wang
However, the computational fluid dynamics (CFD) and fluid structure interaction (FSI) method is ideal for the simulation of the hydrodynamic and elasto-hydrodynamic lubrication (EHL) [1].
CFD model and FSI model Method and modeling.
CFD model.
Conclusions Numerical simulation of water-lubricated rubber bearing with ten water grooves using CFD and FSI techniques and water film pressure distribution of CFD model and FSI model are studied, especially focused on the influence of axial velocity and rotating speed on the film pressure and the bearing bush deflection.
Pai, D.S.Rao, et al: World Journal of Modeling and Simulation.
CFD model and FSI model Method and modeling.
CFD model.
Conclusions Numerical simulation of water-lubricated rubber bearing with ten water grooves using CFD and FSI techniques and water film pressure distribution of CFD model and FSI model are studied, especially focused on the influence of axial velocity and rotating speed on the film pressure and the bearing bush deflection.
Pai, D.S.Rao, et al: World Journal of Modeling and Simulation.
Online since: September 2014
Authors: Tian Yun Li, Yong Ou Zhang, Tao Zhang
A structured CFD mesh is built to compute the turbulent flow.
In the CFD simulation, the CFL number is between 1 and 5 while the y+ is less than 100.
CFD mesh is shown in Fig. 2.
The span of the model is subdivided into 20 layers in the CFD mesh.
Boundaries in the CFD are set as: Wall 1 Wall 2 Wall 3 Wall 4 Outlet Inlet Fig. 2 CFD mesh with boundary conditions 1) The inlet boundary of the flow is a velocity boundary.
In the CFD simulation, the CFL number is between 1 and 5 while the y+ is less than 100.
CFD mesh is shown in Fig. 2.
The span of the model is subdivided into 20 layers in the CFD mesh.
Boundaries in the CFD are set as: Wall 1 Wall 2 Wall 3 Wall 4 Outlet Inlet Fig. 2 CFD mesh with boundary conditions 1) The inlet boundary of the flow is a velocity boundary.
Online since: August 2013
Authors: Fabrizio Reale, Fabio Chiariello, Raffaela Calabria, Patrizio Massoli
In figure 3 the numerical simulations of the three different load conditions, 100 kW, 70 kW and 50 kW, are showed from left to right.
Fig. 3, CFD analysis of T100P combustor at different loads.
The simulation at 50 kW greatly overestimates the NO production.
The results of the simulation give description of the phenomenology of these two species to the physical reality.
Malte, 2007, Development and Application of an Eight-Step Global Mechanism for CFD and CRN Simulations of Lean-Premixed Combustors, 2007, ASME paper GT2007-27990
Fig. 3, CFD analysis of T100P combustor at different loads.
The simulation at 50 kW greatly overestimates the NO production.
The results of the simulation give description of the phenomenology of these two species to the physical reality.
Malte, 2007, Development and Application of an Eight-Step Global Mechanism for CFD and CRN Simulations of Lean-Premixed Combustors, 2007, ASME paper GT2007-27990
Online since: March 2014
Authors: Hui Yuan Li, Hai Ji, Xu Qing Qin, Chao Wu, Yun Hu Wang
The result indicated that the racing loss reduced obviously after fixing baffle-plate equipment, and the CFD simulation results agree well with the experimental results.
The result indicated that the racing loss reduced obviously after fixing baffle-plate equipment, and the CFD simulation results agree well with the experimental results.
At present, the algorithm of SIMPLE series are still applied widely in CFD numerical simulation, which consist of SIMPLE, SIMPLEC SIMPLER and PISO[3].
From analysis results above we can see that the most relative error of simulation results and experiments is 10.2%, the CFD simulation results agree well with the experimental results.
Fig.9 The racing loss of different number of baffle-plate equipment at the rotor speed of 3600r/min Conclusions Aim at high-power hydraulic retarder applied in high-effect combined braking system, CFD simulation analysis was investigated on racing loss with baffle-plate equipment and without, and in contrast with the experimental results.
The result indicated that the racing loss reduced obviously after fixing baffle-plate equipment, and the CFD simulation results agree well with the experimental results.
At present, the algorithm of SIMPLE series are still applied widely in CFD numerical simulation, which consist of SIMPLE, SIMPLEC SIMPLER and PISO[3].
From analysis results above we can see that the most relative error of simulation results and experiments is 10.2%, the CFD simulation results agree well with the experimental results.
Fig.9 The racing loss of different number of baffle-plate equipment at the rotor speed of 3600r/min Conclusions Aim at high-power hydraulic retarder applied in high-effect combined braking system, CFD simulation analysis was investigated on racing loss with baffle-plate equipment and without, and in contrast with the experimental results.
Online since: February 2012
Authors: Zeng Fang Ge, Majid Ali, Athar Rasool, Zhong Ning Sun, Jian Jun Wang
Several researchers and scholars have carried out considerable efforts to determine the temperature distributions in the pressurizer surge line by various means, i.e. experimental setup of particular geometry, surge line temperature monitoring programs, theoretical predictions, numerical calculations and 2D (two dimensional) and 3D CFD (Computational Fluid Dynamics) simulations.
To take into account the fluid structure interaction (FSI) conjugate heat transfer (CHT) analysis is incorporated into the CFD analysis.
The CFD calculations are performed for total time of 500 seconds with time step size of 0.1.
Results and Discussion The sensitivity tests to obtain the optimum values for number of hexahedral elements and transient simulation time step are performed.
The simulation is carried out using CFX commercially available CFD software and turbulent flow is considered with RNG k-ε turbulence model.
To take into account the fluid structure interaction (FSI) conjugate heat transfer (CHT) analysis is incorporated into the CFD analysis.
The CFD calculations are performed for total time of 500 seconds with time step size of 0.1.
Results and Discussion The sensitivity tests to obtain the optimum values for number of hexahedral elements and transient simulation time step are performed.
The simulation is carried out using CFX commercially available CFD software and turbulent flow is considered with RNG k-ε turbulence model.
Online since: August 2012
Authors: Jiang He, Kai Qiong Liu
The results of 3D-CAD models are used as the inputs for CFD simulation.
CFD Simulation.
A commercial code (STREAM Version 7) was used in the CFD simulation.
Fig. 8 shows mesh grids, the domain of the CFD simulation, etc.
Boundary conditions for the CFD simulation are summarized in Table 2.
CFD Simulation.
A commercial code (STREAM Version 7) was used in the CFD simulation.
Fig. 8 shows mesh grids, the domain of the CFD simulation, etc.
Boundary conditions for the CFD simulation are summarized in Table 2.
Online since: August 2013
Authors: Xiao Ming Zhang, Xiao Zhang, Bo Li
Simulation of Wind Environment around a Commercial Complex Building in Shenyang China
Xiaoming Zhang1, a, Bo Li2, b and Xiao Zhang3, c
1Architectural Design and Research Institute of Shenyang Jianzhu University, Shenyang China
2 Shenyang Jianzhu University, Shenyang China
3 Shenyang Jianzhu University, Shenyang China
azxm9041@163.com, bbobozhu721@yahoo.cn, c793938254@qq.com
Keywords: numerical simulation; wind environment; commercial complex building; CFD.
The accuracy of the computational domain affects the size of the simulation results.
Results and Discussion Simulation results and discussion in summer.
References [1] Li Yang: The Application of CFD Technology in the Analysis of Residential Wind Environment [J].
[2] Fujun Wang: Analysis of Computational Fluid Dynamics – Principle and Application of CFD Software [M].
The accuracy of the computational domain affects the size of the simulation results.
Results and Discussion Simulation results and discussion in summer.
References [1] Li Yang: The Application of CFD Technology in the Analysis of Residential Wind Environment [J].
[2] Fujun Wang: Analysis of Computational Fluid Dynamics – Principle and Application of CFD Software [M].
Online since: October 2011
Authors: Mei Shan Gao, Shi He Wang, Xiao Ming Wang, Ming Chun Guo
CFD Simulation of Flow in Random Packing Columns with Seawater Desulfurization
GAO mei-shan1,a, WANG shi-he1,b, WANG xiao-ming2, Guo ming-chun3,c
1College of civil engineering, Southeast University, Nanjing, China
2State Power Environmental Protection Research Institute, Nanjing, China
3Shanghai Huolin Engineering Plastics Co., Ltd., Shanghai, China
asandy_gms@163.com, bwshhj@seu.edu.cn, cgmcjz1120@sina.com
Keywords: seawater desulfurization; packing columns; CFD simulation;
Abstract.
Based on the volume average method, gas-liquid two-phase flow CFD model is established to describe the random packing column in seawater desulfurization.
With CFD as a tool, the test can be carried out under variable parameters and conditions at lower cost and less time and the distribution of fluid flow can be obtained more intuitive and more detailed than with experiment, therefore, the impacts of flow distribution on heat and mass transfer can be learned further more by study on the simulation of flow in packed column of seawater desulfurization and the variable parameters and conditions testes can be carried out at a lower cost so as to provide a guide for engineering design.
Mathematical model Simulation of random packing column gas-liquid two-phase flow, generally regarded the movement of gas that is the piston flow.
On the one hand, the impact of this simplified simulation on the velocity is very small, on the other hand, calculation can be simplified so as to make calculation stable and converge.
Based on the volume average method, gas-liquid two-phase flow CFD model is established to describe the random packing column in seawater desulfurization.
With CFD as a tool, the test can be carried out under variable parameters and conditions at lower cost and less time and the distribution of fluid flow can be obtained more intuitive and more detailed than with experiment, therefore, the impacts of flow distribution on heat and mass transfer can be learned further more by study on the simulation of flow in packed column of seawater desulfurization and the variable parameters and conditions testes can be carried out at a lower cost so as to provide a guide for engineering design.
Mathematical model Simulation of random packing column gas-liquid two-phase flow, generally regarded the movement of gas that is the piston flow.
On the one hand, the impact of this simplified simulation on the velocity is very small, on the other hand, calculation can be simplified so as to make calculation stable and converge.