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Online since: June 2013
Authors: Yin Dong Song, Yin Nan Yuan, Chun Ping Wu, Yong Wang Li, Peng Zhe Qi, Shuang Bo Wang
Numerical Simulation on Cylinder Flow Field of Diesel
Yindong Song1,2,a, Yinnan Yuan1,3, Chunping Wu2, Yongwang Li2, Pengzhe Qi2, Shuangbo, Wang2
1School of Automobile and Traffic Engineering, Jiangsu University, Zhenjiang 212013
2School of Energy and Power Engineering, Jiangsu University of Science and Technology, Zhenjiang 212003 China
3 School of Mechanical Engineering, Nantong University, Nantong 226019
asongyindong@163.com
Keywords: diesel, numerical simulation, k-ζ-f model
Abstract.
Three dimensional transient numerical simulation on cylinder flow field of 4B26 diesel was done by AVL FIRE.
This paper calculated the air motion of diesel cylinder by AVL FIRE CFD software.
Dynamic grid technology was used in this simulation.
Simulation results Inorder to analyse the flow field in cylinder, this paper select 5°CA BTDC, TDC, 5°CA ATDC, 10°CA ATDC and 20°CA ATDC typical moment.
Three dimensional transient numerical simulation on cylinder flow field of 4B26 diesel was done by AVL FIRE.
This paper calculated the air motion of diesel cylinder by AVL FIRE CFD software.
Dynamic grid technology was used in this simulation.
Simulation results Inorder to analyse the flow field in cylinder, this paper select 5°CA BTDC, TDC, 5°CA ATDC, 10°CA ATDC and 20°CA ATDC typical moment.
Online since: October 2011
Authors: Hao Luo, Xue Tao Duan, Bin Xu
Comparisons were made among the results obtained from experiments, numerical simulations, and from those in the literature.
Used finite volume method to solve the N-S equations and Energy equation, Comparisons were made for the numerical simulations results, convectional correlations, and data from the literature.
Numerical Simulation Hypothesizes Model.
Based on the symmetry consideration, taken a half flow area of the single micro-channel as a basic simulation calculation unit.
In this paper, CFD software was used to simulate calculation, which used the finite volume method to discrete each grid or control center of the conservation equations, differential equations will discrete for algebra equations., then used SIMPLEC to solve the coefficient Array.
Used finite volume method to solve the N-S equations and Energy equation, Comparisons were made for the numerical simulations results, convectional correlations, and data from the literature.
Numerical Simulation Hypothesizes Model.
Based on the symmetry consideration, taken a half flow area of the single micro-channel as a basic simulation calculation unit.
In this paper, CFD software was used to simulate calculation, which used the finite volume method to discrete each grid or control center of the conservation equations, differential equations will discrete for algebra equations., then used SIMPLEC to solve the coefficient Array.
Online since: November 2011
Authors: Chuan Bo Liu, Yi Min Mo, Ming Li
The grid quality affects the convergence and precision of simulation results directly.
Simulation Results and Analysis Simulation Results.
Through the CFD simulation, the different pressures between the radiator inlet and outlet under different coolant flow were obtained.
So the simulation model can calculate the radiator coolant resistance performance.
[2] ChangHe.Study on the Simulation of Heat Transfer Performance for Automotive Radiator Based on CFD[D].Jilin:Jilin University Automotive Engineering College,2009
Simulation Results and Analysis Simulation Results.
Through the CFD simulation, the different pressures between the radiator inlet and outlet under different coolant flow were obtained.
So the simulation model can calculate the radiator coolant resistance performance.
[2] ChangHe.Study on the Simulation of Heat Transfer Performance for Automotive Radiator Based on CFD[D].Jilin:Jilin University Automotive Engineering College,2009
Online since: September 2013
Authors: Shou Guang Yao, Gong Li Wang, Qing Fang Cheng, Chang Jiang Zhou
Comparing the simulation results with the traditional CFD calculation results, we could find that the thermal lattice Boltzmann method have unique advantages in effectiveness and flexibility than the traditional calculation method.
It's different with the traditional numerical simulation methods, because of its unique background of mesoscopic particle.
Simulation results The following graphs are the simulation results of coupling distribution function models, which respectively shows the temperature distribution and velocity distribution of X direction under different Reynolds number.
Through the simulation computation, we can find: (1) Because of adopting the double distribution function, the thermal lattice Boltzmann can reduces the date error caused by compressible effect and improve the accuracy of simulation. (2) The new thermal lattice Boltzmann model has greater flexibility and adaptability on the choice of the discrete velocity model. (3) The calculation of numerical simulation results of the thermal lattice Boltzmann has good consistency with the traditional simulation results.
Lattice Boltzmann model for simulation flows with multiple phases and components [J].
It's different with the traditional numerical simulation methods, because of its unique background of mesoscopic particle.
Simulation results The following graphs are the simulation results of coupling distribution function models, which respectively shows the temperature distribution and velocity distribution of X direction under different Reynolds number.
Through the simulation computation, we can find: (1) Because of adopting the double distribution function, the thermal lattice Boltzmann can reduces the date error caused by compressible effect and improve the accuracy of simulation. (2) The new thermal lattice Boltzmann model has greater flexibility and adaptability on the choice of the discrete velocity model. (3) The calculation of numerical simulation results of the thermal lattice Boltzmann has good consistency with the traditional simulation results.
Lattice Boltzmann model for simulation flows with multiple phases and components [J].
Online since: February 2016
Authors: Wojciech Bialik, Stanisław Gil
Based on the experimental data and literature as well as using the CFD tools, a model of light fuel oil combustion has been developed with an emphasis on nitric oxide formation.
The experimental results were used for verification of combustion process modelling with the use of CFD Fluent software.
Research results The basic parameters of the simulation model, e.g. selected options and rate constant values, were also presented in the paper [15].
Two curves, obtained on basis numerical simulation, were plotted for both of these temperatures.
The experimental results were used for verification of combustion process modelling with the use of CFD Fluent software.
Research results The basic parameters of the simulation model, e.g. selected options and rate constant values, were also presented in the paper [15].
Two curves, obtained on basis numerical simulation, were plotted for both of these temperatures.
Online since: December 2013
Authors: Cheng Cheny, Hazem Elsadek, Xiao Bing Zhang, Mahmod M. Rashad
This simulation is considered to be helpful for the prediction of the interior ballistic parameters which are required for endurance of guided projectile.
A good agreement between the simulation results compared to the experimental results is fulfilled.
The simulation gives good results compared with the experimental results as shown in Table 1.
Helluy, Numerical simulations of gas-particle flows with combustion.
Lowe,: CFD Modeling Of Solid Propellant Ignition", PhD thesis, Cranfield university, Cranfield (1996) [6] M.
A good agreement between the simulation results compared to the experimental results is fulfilled.
The simulation gives good results compared with the experimental results as shown in Table 1.
Helluy, Numerical simulations of gas-particle flows with combustion.
Lowe,: CFD Modeling Of Solid Propellant Ignition", PhD thesis, Cranfield university, Cranfield (1996) [6] M.
Online since: November 2022
Authors: Jose Bernardo L. Padaca III, Joseph Alfred V. Garcia, Leif Oliver B. Coronado, Alvin M. Buison, Maria Angela B. Faustino, Laureen Ida M. Ballesteros, Patrick Jay E. Cabalar, John Andrew A. Luna, Fred P. Liza, Jordan F. Madrid
Design and Simulation of 3D-Printed Wastewater Filter Column Rototypes with Various Flow Configurations
Jose Bernardo L.
In this work, the design and simulation of various flow characteristics of the effluent water in a column filter enclosure is presented.
SOLIDWORKS 2020 was used for the design and flow simulation.
Table 1 summarizes the various slit configurations of the cores used in CFD simulation.
CFD simulation was performed using SOLIDWORKS design software.
In this work, the design and simulation of various flow characteristics of the effluent water in a column filter enclosure is presented.
SOLIDWORKS 2020 was used for the design and flow simulation.
Table 1 summarizes the various slit configurations of the cores used in CFD simulation.
CFD simulation was performed using SOLIDWORKS design software.
Online since: February 2011
Authors: Hong Jun Zhu, Qing Kun Jia, Xiao Lu Yang, Bo Shi Qiu
Simulation Analysis of Hydraulic Jet Pump
Hongjun Zhu1,a, Boshi Qiu2,b, Qingkun Jia1,c and Xiaolu Yang1,d
1Department of Petroleum Engineering, Southwest Petroleum University, Chengdu, China
2Drilling Engineering Technology Corporation, Sheng-li oil field, Dongying, China
aticky863@126.com, bqbs12496989@yahoo.com.cn, c280071529@qq.com, d315136288@qq.com
Keywords: numerical simulation; Computational fluid dynamics; hydraulic jet pump; area ratio; throat length; spray distance
Abstract.
Since numerical simulation method can reduce experimental expenses and design cycle, our approach may provide some references for safe design and engineering practice of hydraulic jet pump.
Therefore, two-dimensional numerical simulation of oil flow in hydraulic jet pump with different structural parameters was simulated in this paper.
The equations of mass and momentum were solved using version 12.0.16 of the general purpose CFD code FLUENT.
The density of oil in the simulation is 960 kg/m3, the dynamic viscosity of which is 0.048 Pa·s.
Since numerical simulation method can reduce experimental expenses and design cycle, our approach may provide some references for safe design and engineering practice of hydraulic jet pump.
Therefore, two-dimensional numerical simulation of oil flow in hydraulic jet pump with different structural parameters was simulated in this paper.
The equations of mass and momentum were solved using version 12.0.16 of the general purpose CFD code FLUENT.
The density of oil in the simulation is 960 kg/m3, the dynamic viscosity of which is 0.048 Pa·s.
Online since: January 2014
Authors: Li Qiang Ma, Ji Hui Li, Wen Jing Li, Lei Xu, Xing Wang Xiao
In recent years, there are new progress in computer technology and simulation methods.
The applications range of all kinds of generic software ,such as CFD, are expanded continuely[5].
Compared with industrial test, numerical simulation has advantages of lower cost and less time.
Simultaneously, it can do complete analysis and stronger simulation.
Lina, "Numerical Simulation of Mixing Characteristics in A Stirred Tank with Turbine Impellers," Zhengzhou University, 2007.
The applications range of all kinds of generic software ,such as CFD, are expanded continuely[5].
Compared with industrial test, numerical simulation has advantages of lower cost and less time.
Simultaneously, it can do complete analysis and stronger simulation.
Lina, "Numerical Simulation of Mixing Characteristics in A Stirred Tank with Turbine Impellers," Zhengzhou University, 2007.
Online since: January 2010
Authors: Hiroshi Harada, Tadaharu Yokokawa, Masafumi Fukuda, Tomonori Kitashima
This is usually a time consuming
process, with a lot of system simulation calculations and material simulation calculations.
The temperature, data will be used for this simulation to see how the γ and γ' changes during engine operation.
The creep and dimensional γ and γ' formation nal CFD (Computational Fluid Dynamics), and the dislocation model.
VJE includes some material simulation models which will be developed with the aid of material testing to give practical results.
Evaluation Model Engine Simulator Temp Stress Analysis Material Simulator 1st Phase 1-D 2-D FEM Creep Strain 2nd Phase 1-D 3-D FEM Creep Fatigue Coating Spallation 2-D γ/γ' 3rd Phase 3-D CFD 3-D FEM 3-D γ/γ' Dislocation Behavior Fig. 13 Development plan
The temperature, data will be used for this simulation to see how the γ and γ' changes during engine operation.
The creep and dimensional γ and γ' formation nal CFD (Computational Fluid Dynamics), and the dislocation model.
VJE includes some material simulation models which will be developed with the aid of material testing to give practical results.
Evaluation Model Engine Simulator Temp Stress Analysis Material Simulator 1st Phase 1-D 2-D FEM Creep Strain 2nd Phase 1-D 3-D FEM Creep Fatigue Coating Spallation 2-D γ/γ' 3rd Phase 3-D CFD 3-D FEM 3-D γ/γ' Dislocation Behavior Fig. 13 Development plan