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Online since: October 2014
Authors: Zambri Harun, Lok Bee Seng, Muhammad Ahmar Zuber, Zulkhairi Zainol Abidin, Wan Mohd Faizal Wan Mahmood
Soot formation and oxidation process can be predicted by using the soot formation model in CFD.
Hessel and Foster [7] performed simulation on flow and combustion in Homogenous Charge Compression Ignition (HCCI) engine using EnSight to extract the results obtained from CFD.
Human blood flow simulation is done by David [10] where he used the model of carotid bifurcation.
Methods In this study, particle tracking is performed by post processing (using an efficient routine written in Matlab codes) the results of simulation of combustion inside the direct injection diesel engine which is done by Wan Mahmood [12] using KIVA-3V Release II in CFD.
Oefelein, Large-Eddy simulation of swirling particle-laden flows in a coaxial-jet combustor, Int.
Hessel and Foster [7] performed simulation on flow and combustion in Homogenous Charge Compression Ignition (HCCI) engine using EnSight to extract the results obtained from CFD.
Human blood flow simulation is done by David [10] where he used the model of carotid bifurcation.
Methods In this study, particle tracking is performed by post processing (using an efficient routine written in Matlab codes) the results of simulation of combustion inside the direct injection diesel engine which is done by Wan Mahmood [12] using KIVA-3V Release II in CFD.
Oefelein, Large-Eddy simulation of swirling particle-laden flows in a coaxial-jet combustor, Int.
Online since: March 2014
Authors: Yan Wang, Gui Fu Ding, Gui Lian Wang, Jun Hong Zhao, Zhi Juan Wang
Design optimization of a chip-size microchannel heat sink for high power devices
Junhong Zhao1,a, Zhijuan Wang2,b, Guifu Ding3,c, Guilian Wang4,d, Yan Wang5,e
1,2,3,4,5National Key Laboratory of Science and Technology on Nano/Micro Fabrication, Shanghai Jiao Tong University, Shanghai 200240, People’s Republic of China
aecholovely@sjtu.edu.cn, bbmxwzj@sjtu.edu.cn, cgfding@sjtu.edu.cn, dwglshk@sjtu.edu.cn, ewyyw@sjtu.edu.cn
Keywords: chip-size; microchannel heat sink; inlet position; CFD; microchannel distribution
Abstract.
With the aid of a computational fluid dynamics (CFD) method, the temperature distribution of microchannel heat sink under steady-state conditions is examined and the microchannel distribution is optimized, forming an optimal design for the chip-size microchannel heat sink.
The schematic (A) and a side view (B) of microchannel heat sink Based on the KDG120N30 model IGBT of Keda Semiconductor Co., Ltd., a simulation method is used to verify the rationality.
"Numerical simulation of water-cooled plate radiator performance for IGBT. " DIesel Locomotives 5 (2012): 1-4
"Design optimization of an integrated liquid-cooled IGBT power module using CFD technique."
With the aid of a computational fluid dynamics (CFD) method, the temperature distribution of microchannel heat sink under steady-state conditions is examined and the microchannel distribution is optimized, forming an optimal design for the chip-size microchannel heat sink.
The schematic (A) and a side view (B) of microchannel heat sink Based on the KDG120N30 model IGBT of Keda Semiconductor Co., Ltd., a simulation method is used to verify the rationality.
"Numerical simulation of water-cooled plate radiator performance for IGBT. " DIesel Locomotives 5 (2012): 1-4
"Design optimization of an integrated liquid-cooled IGBT power module using CFD technique."
Online since: October 2014
Authors: Yong Yang, Hui Huang, Ren Yang He, Han Qiu Li, Shu Jun Liu, Hong Lian Ma
Effectiveness Validation of CFD Technology
To verify the validity of CFD technology further, we compared the actual on-site photo and numerical calculation contours of the burst pipe inner and outer wall in the CO2 acid gas field, as shown in Figure 5-1 and Figure 5-2.
a The Actual Position of the Burst tee b CFD Calculation of Turbulence Intensity Distribution c CFD Calculation of Shear Force Distribution d CFD Calculation of Temperature Distribution Fig 5-1 CFD Verification Comparison Chart of the Burst Pipe Inner Wall Outer Wall Surface Verification CFD verification comparison chart of the burst pipe outer wall surface is shown in Figure 5-2.
a The Actual Position of the Burst tee b CFD Calculation of Turbulence Intensity Distribution c CFD Calculation of Shear Force Distribution d CFD Calculation of Temperature Distribution Fig 5-2 CFD Verification Comparison Chart of the Burst Pipe Outer Wall Figure 5-1 and Figure 5-2 show that the position of burst pipes is actually at low speed vortex zone, it is highly consist with the corrosion location prediction results based on CFD technology in section 4.3.
Summary 1) In the synergistic effect of low-speed vortex, CO2 corrosive media, liquid water accumulation, heat-affected, turbulent flow patterns and so on, it is easy to exacerbate corrosion thinning on pipe inner wall surface in low-speed vortex zone of object, induce burst pipe failure accidents, there is a huge security risk. 2) The calculation of using CFD numerical simulation technology is highly consist with the actual failure cases.
As you see, it is effectively to predict the location of the typical pipe fittings corrosion of gas gathering pipeline, guide inspection on-site, promote the detection efficiency, ensure the safety of energy transportation. 3) On the basis of the universal law obtained from using CFD simulation technology, we can consider to carry out secondary development technology in follow-up, to realize the research of the relevance between flow field simulation and the corrosion rate.
a The Actual Position of the Burst tee b CFD Calculation of Turbulence Intensity Distribution c CFD Calculation of Shear Force Distribution d CFD Calculation of Temperature Distribution Fig 5-1 CFD Verification Comparison Chart of the Burst Pipe Inner Wall Outer Wall Surface Verification CFD verification comparison chart of the burst pipe outer wall surface is shown in Figure 5-2.
a The Actual Position of the Burst tee b CFD Calculation of Turbulence Intensity Distribution c CFD Calculation of Shear Force Distribution d CFD Calculation of Temperature Distribution Fig 5-2 CFD Verification Comparison Chart of the Burst Pipe Outer Wall Figure 5-1 and Figure 5-2 show that the position of burst pipes is actually at low speed vortex zone, it is highly consist with the corrosion location prediction results based on CFD technology in section 4.3.
Summary 1) In the synergistic effect of low-speed vortex, CO2 corrosive media, liquid water accumulation, heat-affected, turbulent flow patterns and so on, it is easy to exacerbate corrosion thinning on pipe inner wall surface in low-speed vortex zone of object, induce burst pipe failure accidents, there is a huge security risk. 2) The calculation of using CFD numerical simulation technology is highly consist with the actual failure cases.
As you see, it is effectively to predict the location of the typical pipe fittings corrosion of gas gathering pipeline, guide inspection on-site, promote the detection efficiency, ensure the safety of energy transportation. 3) On the basis of the universal law obtained from using CFD simulation technology, we can consider to carry out secondary development technology in follow-up, to realize the research of the relevance between flow field simulation and the corrosion rate.
Online since: October 2012
Authors: Jian Feng Wu, Chang Li Song, Cai Hua Wang
The numerical simulation of construction is to obtain the desired accuracy.
Introduction At present the numerical wind tunnel simulation in our country has started.
CFD Numerical Simulation Control Equation.
In this paper, the numerical simulation selected Realizable κ-ε model.
[4] Wang, F.J., Computational fluid dynamics analysis of CFD software theory and application [M].
Introduction At present the numerical wind tunnel simulation in our country has started.
CFD Numerical Simulation Control Equation.
In this paper, the numerical simulation selected Realizable κ-ε model.
[4] Wang, F.J., Computational fluid dynamics analysis of CFD software theory and application [M].
Online since: July 2014
Authors: Pankaj Kumar, Sachindra Ku Rout, Ajay Ku Gupta, Rajit Ku Sahoo, Sunil Ku Sarangi
In fact, to get an optimum parameter experimentally is a very tedious for iterance pulse tube refrigerator job, so that the CFD approach gives a better solution.
In general, pulse tube refrigerator problems are highly non-linear and simulation takes long timing and high computation cost.
Neural network with three layers Conclusions A numerical approach of modelling and simulation has been presented in this work to estimate performance of the ITPTR.
An ANN-based process model was developed using results from the numerical simulations for the COP of the pulse tube refrigerator.
Sarangi, Influence of Porosity on the Performance of a Pulse Tube Refrigerator: A CFD Study.
In general, pulse tube refrigerator problems are highly non-linear and simulation takes long timing and high computation cost.
Neural network with three layers Conclusions A numerical approach of modelling and simulation has been presented in this work to estimate performance of the ITPTR.
An ANN-based process model was developed using results from the numerical simulations for the COP of the pulse tube refrigerator.
Sarangi, Influence of Porosity on the Performance of a Pulse Tube Refrigerator: A CFD Study.
Online since: July 2013
Authors: Min Min Du, Wen Juan Bai, Ti Kun Shan, Wei Min Yang
By changing its speed can still achieve the transfer of energy and then generate electricity,although blade is short, and the wind area is reduced.In the study of the blade,high quality grid is the key.This paper discusses the fan blade meshing used ICEM CFD in the rotation of the basin.
Fig.1 The simple figure of scenery tower power generation device. 1.Model Building Using UG software to build the blade model.The fan blade rotation speed is faster, gas particle flow is more complex, so the meshing of flow field directly affect the results of the accuracy of the flow field numerical simulation.
(1) After putting the model into ICEM CFD, name its boundary,the model as shown in figure 3.
As shown in figure 4,5,fluid in the blade surface speed streamline is more well-distributed, calculating the residual curve also gets the convergence, its convergence precision is up to 1e-04(as shown in figure 6),explaining the grid quality is better, that has already reached the simulation requirements.
Fig.6 Residual figure. 4.Summary According to this model,Robust (Octree) method of five methods in ICEM CFD meshing is the best grid generation method,for more complex geometry it can also generate a better quality of the grid.Setting up necessary boundary layer grid to the overall quality of the grid has very great help,and widening the margin of the blades to help reduce the number of grid, so as to further simulation analysis of model lays a foundation.
Fig.1 The simple figure of scenery tower power generation device. 1.Model Building Using UG software to build the blade model.The fan blade rotation speed is faster, gas particle flow is more complex, so the meshing of flow field directly affect the results of the accuracy of the flow field numerical simulation.
(1) After putting the model into ICEM CFD, name its boundary,the model as shown in figure 3.
As shown in figure 4,5,fluid in the blade surface speed streamline is more well-distributed, calculating the residual curve also gets the convergence, its convergence precision is up to 1e-04(as shown in figure 6),explaining the grid quality is better, that has already reached the simulation requirements.
Fig.6 Residual figure. 4.Summary According to this model,Robust (Octree) method of five methods in ICEM CFD meshing is the best grid generation method,for more complex geometry it can also generate a better quality of the grid.Setting up necessary boundary layer grid to the overall quality of the grid has very great help,and widening the margin of the blades to help reduce the number of grid, so as to further simulation analysis of model lays a foundation.
Online since: September 2015
Authors: Mohammad Rizal Ramly, Azharrudin Asrokin
Methodology
Computational fluids dynamics or CFD is the analysis of systems involved in various phenomena such as fluid flow around the object and heat transfer by means of computer-based simulation.
List of the CFD software are huge and it consists of paid version and open source package which is free but with some limitation.
Pre-processing: This is the first step of CFD simulation process is describing the geometry of the object and the environment domain and mesh.
Solver: Once the problem physics has been identified, fluid material properties, flow physics model, and boundary conditions are set to solve using a CFD software.
Results and Discussion Below are the results from the CFD simulations.
List of the CFD software are huge and it consists of paid version and open source package which is free but with some limitation.
Pre-processing: This is the first step of CFD simulation process is describing the geometry of the object and the environment domain and mesh.
Solver: Once the problem physics has been identified, fluid material properties, flow physics model, and boundary conditions are set to solve using a CFD software.
Results and Discussion Below are the results from the CFD simulations.
Online since: December 2013
Authors: Yan Zhao Zhai, Hong Ming Zhang
The results of numerical simulation can accurately analyze the fan flow field.
Only by the simulation of the whole flow field, information can be picked up.
The results of simulation can be taken as guidance for further optimization of the fan.
Computational Fluid Dynamics Analysis: Principle and Application of CFD Software.
ANSYS ICEM CFD Mesh Technology Example Explanation.
Only by the simulation of the whole flow field, information can be picked up.
The results of simulation can be taken as guidance for further optimization of the fan.
Computational Fluid Dynamics Analysis: Principle and Application of CFD Software.
ANSYS ICEM CFD Mesh Technology Example Explanation.
Online since: November 2012
Authors: Jin Song Wen, Xi Ling Zhou
In this paper, 3D finite element numerical simulation was used on the flow in the XXXX melt pump with POLYFLOW.
By numerical simulation analysis on the flow field in the melt pump, distribution characteristics of pressure, flow velocity vectors and shear rate in the melt pump were obtained.
Based on the geometric model, three regions including one fluid region and two solid regions are meshed with ICEM-CFD, as displayed in Fig. 2.
On condition that the simulation results are not affected, a hole is dug in the centre of each gear to reduce the number of grids.
Results Contour of pressure distribution is achieved by analyzing simulation results under a certain inflow rate and gear rotary speed with CFD-Post.
By numerical simulation analysis on the flow field in the melt pump, distribution characteristics of pressure, flow velocity vectors and shear rate in the melt pump were obtained.
Based on the geometric model, three regions including one fluid region and two solid regions are meshed with ICEM-CFD, as displayed in Fig. 2.
On condition that the simulation results are not affected, a hole is dug in the centre of each gear to reduce the number of grids.
Results Contour of pressure distribution is achieved by analyzing simulation results under a certain inflow rate and gear rotary speed with CFD-Post.
Online since: August 2013
Authors: Hong Chao Zuo, Long Xiang Dong, Wen Cheng Dong
One is a simple dispersion model based on Gaussian formula; the other is complicated computational fluid dynamics (CFD) model which can distinguish building structure.
Despite the complex urban environment can be characterized by CFD model more reasonable, but it takes a lot of time for numerical computation, and can not meet the emergency needs of the actual incident.
The first tracer test data was used to study the applicability of CALPUFF model in this study, the simulation domain was 1.8km×1.8km (i.e.
But significant difference found between the simulations and observations at the ground level (not shown).
Time series of SF6 concentration from the observations and the simulations is shown in Fig 3.
Despite the complex urban environment can be characterized by CFD model more reasonable, but it takes a lot of time for numerical computation, and can not meet the emergency needs of the actual incident.
The first tracer test data was used to study the applicability of CALPUFF model in this study, the simulation domain was 1.8km×1.8km (i.e.
But significant difference found between the simulations and observations at the ground level (not shown).
Time series of SF6 concentration from the observations and the simulations is shown in Fig 3.