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Online since: November 2012
Authors: Peng Wei, Ti Kang Li, Xiao Dong Ni
Numerical simulation results and related laboratory test are in good accordance, it bear out that researching the It has been demonstrated that it is comparatively reasonable and effective to carry out research on the mechanism of mud membrane formation at a meso-scale level.
Based on the study of particle flow to the characteristics of the mesoscopic medium particle flow and the formation mechanism of mud membrane, numerical simulation of the mesoscopic particle flow was adopted to assist laboratory tests and finally obtained fairly reasonable results.
In order to be compared with the results of laboratory tests, 34 groups of numerical simulations are conducted in 5 different strata, and the specific test groups are shown in Table 3.
In the process of simulation, the calculation results are considered to be stable and then simulation process is over when flow rate of bentonite particles are approaching zero or the change of displacement coordinates are minimum.
The comparison between bore diameter of strata and effective grain size of slurry are adopted in laboratory tests while comparison between particle size of strata soil and grain size of slurry are employed in numerical simulation.
Based on the study of particle flow to the characteristics of the mesoscopic medium particle flow and the formation mechanism of mud membrane, numerical simulation of the mesoscopic particle flow was adopted to assist laboratory tests and finally obtained fairly reasonable results.
In order to be compared with the results of laboratory tests, 34 groups of numerical simulations are conducted in 5 different strata, and the specific test groups are shown in Table 3.
In the process of simulation, the calculation results are considered to be stable and then simulation process is over when flow rate of bentonite particles are approaching zero or the change of displacement coordinates are minimum.
The comparison between bore diameter of strata and effective grain size of slurry are adopted in laboratory tests while comparison between particle size of strata soil and grain size of slurry are employed in numerical simulation.
Online since: January 2019
Authors: Ulrich Pont, Ardeshir Mahdavi, Ehsan Bazafkan
Choose simulation outputs;
14.
Run simulation; 15.
Visualize simulation results.
Regarding Accuracy and ability (AADCC) it can be stated that the environments offer a multitude of connection to established simulation engines, encompassing the majority of building performance related domains, such as hygro-thermal analysis, lighting, acoustics, or CFD.
Department of Energy - https://energyplus.net/ (last accessed July 2017) [14]OpenFoam, The open source CFD toolbox - https://www.openfoam.com/ (last accessed July 2017) [15]Radiance – A validated Lighting Simulation tool - https://www.radiance-online.org/ (last accessed July 2017) [16]DaySim – Advanced Daylight Simulation Software - https://daysim.ning.com/ (last accessed July 2017) [17]Therm – Thermal Modelling Solutions - https://www.psitherm.uk/ (last accessed July 2017) [18]OpenStudio - https://www.openstudio.net/ (last accessed July 2017)
Run simulation; 15.
Visualize simulation results.
Regarding Accuracy and ability (AADCC) it can be stated that the environments offer a multitude of connection to established simulation engines, encompassing the majority of building performance related domains, such as hygro-thermal analysis, lighting, acoustics, or CFD.
Department of Energy - https://energyplus.net/ (last accessed July 2017) [14]OpenFoam, The open source CFD toolbox - https://www.openfoam.com/ (last accessed July 2017) [15]Radiance – A validated Lighting Simulation tool - https://www.radiance-online.org/ (last accessed July 2017) [16]DaySim – Advanced Daylight Simulation Software - https://daysim.ning.com/ (last accessed July 2017) [17]Therm – Thermal Modelling Solutions - https://www.psitherm.uk/ (last accessed July 2017) [18]OpenStudio - https://www.openstudio.net/ (last accessed July 2017)
Online since: September 2011
Authors: Shun Ming Li, Yuan Yuan Zhang, Yi Xian Hu, Guo You Hu, Wen Feng Lu, Xing Xing Wang
Simulation shows the performances of improved mufflers were better than the original one.
Bench tests of engine draw power loss is 1.39%, while the PL of CFD for the muffler is 1863Pa in same speed condition, both number orders are basically on the same level [6].
These show the simulation model of fluid is accurate as well.
Simulation of acoustic performance Acoustic performances are calculated with the method of finite element.
P.Wei and W.He.in: Application of flow field simulation technique to the study of exhaust noise of car Source [C].
Bench tests of engine draw power loss is 1.39%, while the PL of CFD for the muffler is 1863Pa in same speed condition, both number orders are basically on the same level [6].
These show the simulation model of fluid is accurate as well.
Simulation of acoustic performance Acoustic performances are calculated with the method of finite element.
P.Wei and W.He.in: Application of flow field simulation technique to the study of exhaust noise of car Source [C].
Online since: November 2012
Authors: Jun Lin Xie, Shu Xia Mei, Feng He, Ming Fang Jin
To reduce energy consumption, numerical simulations of combustion and decomposition processes in a precalciner were carried out with two types of locations of jetting coal pipes.
Today the CFD method[3–6] has been used widely in precalciner design and optimization.
In this paper, the processes of combustion and decomposition in a precalciner with two types of locations of jetting coal pipes were studied by numerical simulation.
Numerical simulation study on gas-particles two-phase flow in pre-calciner [J].
Numerical simulation of gas-solid flow in slc-s precalciner by adding a raw meal inlet [J].J Chin Ceram Soc, 2007, 35(10): 1382-1386
Today the CFD method[3–6] has been used widely in precalciner design and optimization.
In this paper, the processes of combustion and decomposition in a precalciner with two types of locations of jetting coal pipes were studied by numerical simulation.
Numerical simulation study on gas-particles two-phase flow in pre-calciner [J].
Numerical simulation of gas-solid flow in slc-s precalciner by adding a raw meal inlet [J].J Chin Ceram Soc, 2007, 35(10): 1382-1386
Online since: December 2016
Authors: Zhi Zhu, Min Wang, Hui Jie Zhang, Xiao Zhang, Tao Yu, Guang Xin Yang
The welding process test was carried out to verify the simulation results of temperature field.
The welding process test was conducted to verify the simulation results of temperature field.
Thermal properties used in FSW simulation include thermal conductivity, density and specific heat.
Table 2 Comparison of temperature field between simulation results and test ones.
Shercliff, CFD modelling of friction stir welding of thick plate 7449 aluminium alloy, Sci.
The welding process test was conducted to verify the simulation results of temperature field.
Thermal properties used in FSW simulation include thermal conductivity, density and specific heat.
Table 2 Comparison of temperature field between simulation results and test ones.
Shercliff, CFD modelling of friction stir welding of thick plate 7449 aluminium alloy, Sci.
Online since: June 2019
Authors: Qiang Wang, Ting Xi Wu, Jian Lu
Numerical Simulation Study on Influence of Geometric Parameters of Spin-Coating Pallet on Wafer Deformation
Ting-Xi Wu1,a, Jian Lu2,b, Qiang Wang1,c*
1School of Electronic and Information, Nantong University, Nantong, Jiangsu, 226019, China
2School of Electronic and Information, Jiangsu Vocational College of Business, Nantong, Jiangsu, 226019, China
a1140296861@qq.com, b1561833576@qq.com, cwang_q@ntu.edu.cn
Keywords: Spin-coating pallet; Wafer; Deformation; Numerical simulation
Abstract.
Numerical simulations and experiments based on Fluent were carried out, including discussing geometric parameters of spin-coating pallet that affect wafer deformation.
In this paper, the numerical simulation experiments were carried out based on Fluent and the experiments of the geometric parameters of the spin-coating pallet that affect the 3-inch wafer deformation were investigated.
The effect of the geometric parameters of the spin-coating pallet on the wafer deformation was discussed by numerical simulations.
Wang: Computational Fluid Dynamics Analysis-Principle and Application of CFD Software (Tsinghua University Press, Beijing 2004).
Numerical simulations and experiments based on Fluent were carried out, including discussing geometric parameters of spin-coating pallet that affect wafer deformation.
In this paper, the numerical simulation experiments were carried out based on Fluent and the experiments of the geometric parameters of the spin-coating pallet that affect the 3-inch wafer deformation were investigated.
The effect of the geometric parameters of the spin-coating pallet on the wafer deformation was discussed by numerical simulations.
Wang: Computational Fluid Dynamics Analysis-Principle and Application of CFD Software (Tsinghua University Press, Beijing 2004).
Online since: October 2013
Authors: Mei Liang Mao, Xiao Gang Deng, Hua Yong Liu, Yi Jiang
Introduction
The need for predictive simulation methods for turbulent flows has led to a significant interest in large-eddy simulations (LES) in recent years.
The large eddy simulation for this problem has been performed extensively by different research groups [14] .
Kolbe, New insights into large eddy simulation, Fluid Dyn.
Fujii, Progress and future prospects of CFD in aerospace —— Wind tunnel and beyond, Progress in Aerospace Sciences, 41(2005) 455–470 [12] Wang Z J.
Blaisdell, A time-implicit high-order compact differencing and filtering scheme for large-eddy simulation, Int.
The large eddy simulation for this problem has been performed extensively by different research groups [14] .
Kolbe, New insights into large eddy simulation, Fluid Dyn.
Fujii, Progress and future prospects of CFD in aerospace —— Wind tunnel and beyond, Progress in Aerospace Sciences, 41(2005) 455–470 [12] Wang Z J.
Blaisdell, A time-implicit high-order compact differencing and filtering scheme for large-eddy simulation, Int.
Online since: June 2009
Authors: Jong Hee Kim, Ji Hoon Kim, Youn Suk Choi, Jong Heun Lee, Young Joon Yoon, Jae Kyung Choi, Jong Woo Lim, Hyo Tae Kim
It was confirmed that the degree of mixing in ceramic-based microfluidic
passive mixers was well matched with the numerical simulation data.
After manufacturing the various kinds of mixers, the microfluidic test was progressed and their performance was evaluated comparing with simulation result.
In addition, a numerical simulation using a commercial tool (CFD-ACE+; ESI, Huntsville, AL) was progressed to obtain the mixing efficiency of T-type mixers and chaotic mixer.
Comparing with simulation data, it could be deduced that ceramic-based T-type mixers shown here were well operated under the diffusion driven liquid mixing.
Comparison of mixing efficiency at the point of microchannel outlet between numerical simulation data and experiment result Channel width Mixing efficiency (η) Simulation Experiment T-type mixer 1 mm 26% 12.1% 200 µm 90% 80.6% Chaotic mixer 200 µm 47% 45.0% Conclusion Here, we showed a novel process to fabricated ceramic-based microfluidic passive mixer using LTCC and photolithography.
After manufacturing the various kinds of mixers, the microfluidic test was progressed and their performance was evaluated comparing with simulation result.
In addition, a numerical simulation using a commercial tool (CFD-ACE+; ESI, Huntsville, AL) was progressed to obtain the mixing efficiency of T-type mixers and chaotic mixer.
Comparing with simulation data, it could be deduced that ceramic-based T-type mixers shown here were well operated under the diffusion driven liquid mixing.
Comparison of mixing efficiency at the point of microchannel outlet between numerical simulation data and experiment result Channel width Mixing efficiency (η) Simulation Experiment T-type mixer 1 mm 26% 12.1% 200 µm 90% 80.6% Chaotic mixer 200 µm 47% 45.0% Conclusion Here, we showed a novel process to fabricated ceramic-based microfluidic passive mixer using LTCC and photolithography.
Online since: March 2011
Authors: Man Yin Hu, Yi Jing Jin, Yu Sun, Xiu Hong Wang
Simulation of boiler full load
The simulation is based on the existing data to set geometry model, through calculating Software setting the boundary conditions consistent with actual to conduct numerical calculation.
It can be seen that the simulation is feasible, so the next step of simulation can be conducted.
It can be obtained that the simulated chemical reaction is possible, following the numerical simulation under different loads. 4.
Simulation under different boiler loads Reduce the boiler load, until the gas volume reaches 75% and 50% of full load to conduct numerical simulation again.
[4]Wang Fujun: Computational Fluid Dynamics: Principle and Application of CFD software.
It can be seen that the simulation is feasible, so the next step of simulation can be conducted.
It can be obtained that the simulated chemical reaction is possible, following the numerical simulation under different loads. 4.
Simulation under different boiler loads Reduce the boiler load, until the gas volume reaches 75% and 50% of full load to conduct numerical simulation again.
[4]Wang Fujun: Computational Fluid Dynamics: Principle and Application of CFD software.
Online since: March 2014
Authors: A. Goenka, S. Ghosh, R.N. Shah
The most immediate outcome of this research is that the CFD simulations suggest inexpensive design alterations in the diesel particulate filter which can be fabricated easily.
Hence, all the results of simulations shown later are confined to ultrafine particles of size < 0.1 µm.
Simulations were run for varying values wall shear stress, all other parameters remaining constant (Figures 2, 3, 4).
Hence, all the results of simulations shown later are confined to ultrafine particles of size < 0.1 µm.
Simulations were run for varying values wall shear stress, all other parameters remaining constant (Figures 2, 3, 4).