Sort by:
Publication Type:
Open access:
Publication Date:
Periodicals:
Search results
Online since: November 2011
Authors: Ya Qun He, Yi Bo Lv, Ren Chao Wu, De Qiang Peng, Zhi Hai Tan, Wei Ning Xie, Guo Ping Zhou
The water flow pattern in WMFS was simulated by using CFD software, and the data were analyzed in theory.
Simulation of the Water Flow in the WMFS In simulation, the WMFS was simplified as following as Fig. 3(a).
(a) (b) (c) (d) (e) Fig. 3 The simulation of water flow at 0.0275m/s of the upward water velocity: (a) the model of WMFS in simulation; (b) contours of velocity magnitude (m/s); (c) velocity vectors of water flow; (d) contours of Static Pressure (Pascal); (e) contours of density (Kg/m3) Coal Slime Separation Test According to exploratory experiments and simulation, the upward water velocity was selected at 0.275 m/s.
Coefficient. (%) Wt(F) (%) Ash (%) Wt (%) Wt(F) (%) Ash (%) Wt (%) Wt(F) (%) Ash (%) -1.3 44.54 4.74 75.70 35.10 4.76 15.50 8.31 5.43 19.15 1.3-1.4 14.37 16.66 15.48 7.18 17.47 17.23 9.24 18.47 56.29 1.4-1.5 9.57 27.38 5.93 2.75 28.00 10.61 5.69 28.84 67.42 1.5-1.6 5.56 38.95 1.43 0.66 39.64 8.18 4.39 39.64 86.90 1.6-1.8 6.32 52.30 1.46 0.68 64.79 11.00 5.90 51.57 89.70 +1.8 19.64 81.26 0 0 0 37.47 20.10 81.26 100.00 Total 100.00 28.55 100.00 46.37 9.48 100.00 53.63 46.45 Conclusions With the fast growth of computer techniques and advances in Computational Fluid Dynamics (CFD), the direct simulation of multiple phase phenomena in a solid-liquid fluidized-bed becomes feasible.
By comparing the simulation results with laboratory experimental data, it was shown that the use of CFD methodology has favorable accuracy and efficiency.
Simulation of the Water Flow in the WMFS In simulation, the WMFS was simplified as following as Fig. 3(a).
(a) (b) (c) (d) (e) Fig. 3 The simulation of water flow at 0.0275m/s of the upward water velocity: (a) the model of WMFS in simulation; (b) contours of velocity magnitude (m/s); (c) velocity vectors of water flow; (d) contours of Static Pressure (Pascal); (e) contours of density (Kg/m3) Coal Slime Separation Test According to exploratory experiments and simulation, the upward water velocity was selected at 0.275 m/s.
Coefficient. (%) Wt(F) (%) Ash (%) Wt (%) Wt(F) (%) Ash (%) Wt (%) Wt(F) (%) Ash (%) -1.3 44.54 4.74 75.70 35.10 4.76 15.50 8.31 5.43 19.15 1.3-1.4 14.37 16.66 15.48 7.18 17.47 17.23 9.24 18.47 56.29 1.4-1.5 9.57 27.38 5.93 2.75 28.00 10.61 5.69 28.84 67.42 1.5-1.6 5.56 38.95 1.43 0.66 39.64 8.18 4.39 39.64 86.90 1.6-1.8 6.32 52.30 1.46 0.68 64.79 11.00 5.90 51.57 89.70 +1.8 19.64 81.26 0 0 0 37.47 20.10 81.26 100.00 Total 100.00 28.55 100.00 46.37 9.48 100.00 53.63 46.45 Conclusions With the fast growth of computer techniques and advances in Computational Fluid Dynamics (CFD), the direct simulation of multiple phase phenomena in a solid-liquid fluidized-bed becomes feasible.
By comparing the simulation results with laboratory experimental data, it was shown that the use of CFD methodology has favorable accuracy and efficiency.
Online since: July 2014
Authors: P. Karthikeyan, M. Muthukumar, B. Kavin, A. Kavyaraj, V. Lakshminarayanan, A.P. Senthil Kumar
The model was created and simulated under various pressures and temperature with a constant mass flow rate by using fluent CFD and the influence of the single pass flow channel on the performance of PEM fuel cell has been investigated.
Generally the trend is going to do the analysis of PEM fuel cell with various flow field designs and their influence using Computational Fluid Dynamics (CFD) [6].
The second step involved, creating the mesh from the geometry using ICEM CFD 14.0 (a module of Ansys 14.0).
In order to solve the myriad of equations associated with a fuel cell simulation, the entire cell was divided into a finite number of discrete volume elements or computational cells.
The simulation has been solved simultaneous equations like conservation of mass, momentum, energy, species, Butler–Volmer equation, Joule heating reaction and the Nernst equation to obtain reaction kinetics of PEM fuel cell, namely mass fraction of H2, O2, and H2O, temperature, static pressure and current flux density distribution on flow channel.
Generally the trend is going to do the analysis of PEM fuel cell with various flow field designs and their influence using Computational Fluid Dynamics (CFD) [6].
The second step involved, creating the mesh from the geometry using ICEM CFD 14.0 (a module of Ansys 14.0).
In order to solve the myriad of equations associated with a fuel cell simulation, the entire cell was divided into a finite number of discrete volume elements or computational cells.
The simulation has been solved simultaneous equations like conservation of mass, momentum, energy, species, Butler–Volmer equation, Joule heating reaction and the Nernst equation to obtain reaction kinetics of PEM fuel cell, namely mass fraction of H2, O2, and H2O, temperature, static pressure and current flux density distribution on flow channel.
Online since: June 2011
Authors: Geng Chen Shi, Shao Chun Sun
Numerical Simulations
In order to verify the prediction formulas and get an accurate performance data of the turbine machine, commercial CFD (Computational Fluid Dynamics) software is used with FEA (Finite Element Analysis).
Based on the simulations with CFD software, accurate driving torque and driving power are got.
Buffard: Axial-Flow Microturbine with Electromagnetic Generator: Design, CFD Simulation, and Prototype Demonstration. 17th IEEE International Conference on Micro Electro Mechanical Systems, (2004), p. 568
Dhariwal: Experimental and Simulation Analysis of Microturbines.
Dhariwal: Modelling and Simulation of A Fluid-Driven Microturbine.
Based on the simulations with CFD software, accurate driving torque and driving power are got.
Buffard: Axial-Flow Microturbine with Electromagnetic Generator: Design, CFD Simulation, and Prototype Demonstration. 17th IEEE International Conference on Micro Electro Mechanical Systems, (2004), p. 568
Dhariwal: Experimental and Simulation Analysis of Microturbines.
Dhariwal: Modelling and Simulation of A Fluid-Driven Microturbine.
Online since: February 2013
Authors: Zheng Lan Yuan, Yu Zhang, Zhen Hua Xie
Numerical Simulations and Analysis
Distribution Law of Blasting Fume.
In this simulation, arranges a distance of 5 meters.
This paper performs the simulation of CO diffusion process in blind roadway in Shachang mining area of Shou Yun iron mine, getting the actual completion time required to meet the safety standard by the application of CFD software Fluent.
The simulation results are in line with the theory and engineering practice.
CFD Simulation Study on Jet Ventilation Flow Field in Heading Face [J].
In this simulation, arranges a distance of 5 meters.
This paper performs the simulation of CO diffusion process in blind roadway in Shachang mining area of Shou Yun iron mine, getting the actual completion time required to meet the safety standard by the application of CFD software Fluent.
The simulation results are in line with the theory and engineering practice.
CFD Simulation Study on Jet Ventilation Flow Field in Heading Face [J].
Online since: January 2019
Authors: Yuan Cheng Sun, Xue Fu Song, Xiao Qiang Zhang, Xiu Rong Du, Ning Hua
The temperature and flow field were calculated by CFD method and motion of particles with different diameter (100 μm, 10 μm, 0.1 μm and 0.01 μm) in rf plasma deposition process were studied.
The objective of the present study is to investigate movement of particles with different diameter in rf plasma deposition process by CFD calculation method, in order to understand the deposition behavior of particles and give reference to improve the deposition process.
(3) Computational Grid The CFD software package FLUENT 6.3.26 was used for calculation. 3-D simulation model was established according to the physical model.
(4) Simulation Conditions and Boundary Conditions The input parameters were chosen as typical conditions as shown in Table 1.
Table 1 Simulation conditions Content Inlet Angle(◦) Inlet Velocity (m/s) Inlet Temperature(K) Plasma torch 30 4.34 1800 Feeding pipe 67 1.5 300 The plasma pipe and feeding pipe inlet were set as mass flow inlet boundary condition.
The objective of the present study is to investigate movement of particles with different diameter in rf plasma deposition process by CFD calculation method, in order to understand the deposition behavior of particles and give reference to improve the deposition process.
(3) Computational Grid The CFD software package FLUENT 6.3.26 was used for calculation. 3-D simulation model was established according to the physical model.
(4) Simulation Conditions and Boundary Conditions The input parameters were chosen as typical conditions as shown in Table 1.
Table 1 Simulation conditions Content Inlet Angle(◦) Inlet Velocity (m/s) Inlet Temperature(K) Plasma torch 30 4.34 1800 Feeding pipe 67 1.5 300 The plasma pipe and feeding pipe inlet were set as mass flow inlet boundary condition.
Online since: May 2015
Authors: Panagiotis Kyratsis, Athanasios Manavis
Different researchers have developed a variety of simulation methodologies.
Drilling Simulations CAD based simulation has been applied in a number of different applications.
The effect of the friction development was investigated with FE simulations as well.
Zhang et al. [6] presented a CAD/CFD method in order to optimize the design parameters of the chip removal structure in deep-hole drilling.
Li, Optimisation design of chip removal structure in the deep-hole drilling based on CAD/CFD, 4th International Seminar on Modern Cutting and Measurement Engineering.
Drilling Simulations CAD based simulation has been applied in a number of different applications.
The effect of the friction development was investigated with FE simulations as well.
Zhang et al. [6] presented a CAD/CFD method in order to optimize the design parameters of the chip removal structure in deep-hole drilling.
Li, Optimisation design of chip removal structure in the deep-hole drilling based on CAD/CFD, 4th International Seminar on Modern Cutting and Measurement Engineering.
Online since: August 2014
Authors: Yun Fei Zhao, Xu Liu, Wei Liu
Dynamics Characterization of Missiles with Control Flaps Based on CFD
Liu Xua, Liu Weib and Zhao Yunfeic
College of Areospace Science and Engineering, National University of Defense Technology, Changsha, China
anudt@sina.cn, bfishfather6525@sina.com, czhaoyf08@126.com
Keywords: CFD; Damping-in-pitch derivative; Damping-in-roll derivative; Forced-harmonic analysis
Abstract.
Numerical simulation and physical characteristics analysis for slender wing rock [J].
NND schemes and their applications to numerical simulation of two-and three-dimensional flows [J].
CFD Computation of Magnus Moment and Roll Damping Moment of a Spinning Projectile.
CFD predictions of dynamic derivatives for missiles [C]. 40th AIAA Aerospace Sciences Meeting, 2002
Numerical simulation and physical characteristics analysis for slender wing rock [J].
NND schemes and their applications to numerical simulation of two-and three-dimensional flows [J].
CFD Computation of Magnus Moment and Roll Damping Moment of a Spinning Projectile.
CFD predictions of dynamic derivatives for missiles [C]. 40th AIAA Aerospace Sciences Meeting, 2002
Online since: August 2011
Authors: Yan Li, Fang Feng, Wen Qiang Tian, Kotaro Tagawa
Numerical simulation on the static torque performance of vertical axis wind turbine with different blade airfoils
Yan Li1,a, Fang Feng2,b, Wenqiang Tian1,c and Kotaro Tagawa3,d
1, Engineering College, Northeast Agricultural University, China
2College of Science, Northeast Agricultural University, China
3Faculty of Regional Sciences, Tottori University, Japan
a ly_neau@yahoo.com.cn, b fengfang1026@yahoo.com.cn, c twq888666@163.com
dtagawa@rstu.jp
Keywords: vertical axis wind turbine; blade airfoil; numerical simulation; static torque; flow field
Abstract.
In order to research the static torque characteristics of SB-VAWT with symmetrical and non-symmetrical blade airfoil, numerical simulations by 2D CFD method were carried out on three kinds of blade airfoils including NACA0018, NACA2418 and NACA4418 at different azimuth angles.
In this study, bend which is one of the most important factors which affects the starting characteristics of the SB-VAWT was researched by numerical computations in a CFD package based on the 2 dimensions incompressible steady flow.
The theoretical basis of the simulation was the continuity equation, momentum equation and energy equation.
Through this simulation, the static torque coefficient at the center of wind turbine and the flow near the wind turbine could be obtained.
In order to research the static torque characteristics of SB-VAWT with symmetrical and non-symmetrical blade airfoil, numerical simulations by 2D CFD method were carried out on three kinds of blade airfoils including NACA0018, NACA2418 and NACA4418 at different azimuth angles.
In this study, bend which is one of the most important factors which affects the starting characteristics of the SB-VAWT was researched by numerical computations in a CFD package based on the 2 dimensions incompressible steady flow.
The theoretical basis of the simulation was the continuity equation, momentum equation and energy equation.
Through this simulation, the static torque coefficient at the center of wind turbine and the flow near the wind turbine could be obtained.
Online since: January 2013
Authors: Jin Jin Tian, Yong Gang Guo, Zhe Zhang
CFD Simulation on Flow distribution in plate-fin heat exchangers
Zhe Zhanga, Jinjin Tian and Yonggang Guo
Tianjin Key Laboratory of Refrigeration Technology, Tianjin University of Commerce, China 300134
axjtuzz@163.com
Keywords: Plate-fin heat exchanger, flow distribution, header configuration
Abstract: The influences of the conventional header configuration used in industry at present on the fluid flow distribution in plate-fin heat exchanger were numerically investigated.
Study of the flow maldistribution in a plate-fin heat exchanger CFD models A schematic view of conventional header is shown in Fig. 1, which has the geometrical characteristics listed as follows.
inlet tube header distributor Fig.1 Schematic drawing of the plate-fin heat exchanger (mm) In this work, CFD software FLUENT was employed to simulate the fluid flow distribution in the header of plate-fin heat exchanger.
It can be found from the above contrast that the tendency of the numerical simulation results and experimental results are the same and the error is little.
Study of the flow maldistribution in a plate-fin heat exchanger CFD models A schematic view of conventional header is shown in Fig. 1, which has the geometrical characteristics listed as follows.
inlet tube header distributor Fig.1 Schematic drawing of the plate-fin heat exchanger (mm) In this work, CFD software FLUENT was employed to simulate the fluid flow distribution in the header of plate-fin heat exchanger.
It can be found from the above contrast that the tendency of the numerical simulation results and experimental results are the same and the error is little.
Online since: September 2013
Authors: Tao Zhang, Ying Xu, Xiang Hong Zhang, Lu Gao
Optimum Design of a Screw-In Venturi Flow Sensor
Ying Xu 1, Xianghong Zhang 1, a, Tao Zhang 1 and Lu Gao 1
1Tianjin Key Laboratory for Process Measurement and Control, School of Electrical Engineering and Automation, Tianjin University, Tianjin 300072, China
a532907288@qq.com
Key word: Discharge coefficient linearity; Screw-in blade; CFD; Orthogonal array
Abstract.
To study discharge coefficient linearity of screw-in venturi flow sensor, the effect of the screw-in blade attached to the sensor on discharge coefficient was analyzed, the structure of the screw-in blade was optimized by CFD software.
The numerical simulation indicates discharge coefficient linearity of the optimal screw-in venturi flow sensor is 0.601%,which is better than that of double-cone venturi flow sensor.
In CFD, Tgrid is chosen for mesh dividing of numerical simulation, the grid cell is Tet/Hybrid.
The result of numerical simulation for double-cone venturi flow sensor and optimum screw-in venturi flow sensor, which corresponds to optimum structure of screw-in blade, is listed in Table 3.
To study discharge coefficient linearity of screw-in venturi flow sensor, the effect of the screw-in blade attached to the sensor on discharge coefficient was analyzed, the structure of the screw-in blade was optimized by CFD software.
The numerical simulation indicates discharge coefficient linearity of the optimal screw-in venturi flow sensor is 0.601%,which is better than that of double-cone venturi flow sensor.
In CFD, Tgrid is chosen for mesh dividing of numerical simulation, the grid cell is Tet/Hybrid.
The result of numerical simulation for double-cone venturi flow sensor and optimum screw-in venturi flow sensor, which corresponds to optimum structure of screw-in blade, is listed in Table 3.