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Online since: August 2014
Authors: Jie Li, Bin Tian, Zhi Bin Gong
Numerical Simulation of Powered High-Lift Flow
Zhibin Gong1,a, Jie Li2,b and Bin Tian3,c
1,2School of Aeronautics, Northwestern Polytechnical University,
Xi’an, Shaanxi, 710072, P.
Though accurately simulating three-dimensional subsonic flow over transport aircraft with powered high-lift systems remains one of the most difficult challenges of modern CFD, great improvements have been made during the past decade. 3D time-dependant compressible Reynolds-Averaged Navier-Stokes equations are solved for the powered lift simulation.
A., and Chaffin, M., “Overview of the First AIAA CFD High Lift Prediction Workshop (Invited),” AIAA Paper 2011-862. ] from the 1st AIAA CFD High Lift Prediction Workshop (HiLiftPW-1) is selected to assess the accuracy of CFD methods for high-lift configurations.
Fig.2 presents the meridian grid for simulation and shows surface pressure comparisons on fan cowl and outer core-cowl surfaces, the computational results and experimental data are in good consistency.
For more accurate simulations, further efforts have to be made to contribute to the powered high-lift aerodynamic design for STOL transport aircraft.
Though accurately simulating three-dimensional subsonic flow over transport aircraft with powered high-lift systems remains one of the most difficult challenges of modern CFD, great improvements have been made during the past decade. 3D time-dependant compressible Reynolds-Averaged Navier-Stokes equations are solved for the powered lift simulation.
A., and Chaffin, M., “Overview of the First AIAA CFD High Lift Prediction Workshop (Invited),” AIAA Paper 2011-862. ] from the 1st AIAA CFD High Lift Prediction Workshop (HiLiftPW-1) is selected to assess the accuracy of CFD methods for high-lift configurations.
Fig.2 presents the meridian grid for simulation and shows surface pressure comparisons on fan cowl and outer core-cowl surfaces, the computational results and experimental data are in good consistency.
For more accurate simulations, further efforts have to be made to contribute to the powered high-lift aerodynamic design for STOL transport aircraft.
Online since: January 2012
Authors: C.L. Chang, Jik Chang Leong, Y. C. Chen, L.W. Chen
In the beginning, fire simulations mostly relied on a zone model approach.
Friedman [1] and Olenick and Carpenter [2] have presented a list of CFD packages that employ this approach.
Britter, CFD Simulations of a Tunnel Fire – Part II, Fire Saf.
Rehm, Large Eddy Simulation of Smoke Movement, Fire Saf.
Baum, CFD Fire Simulation Using Mixture Fraction Combustion and Finite Volume Radiative Heat Transfer, J.
Friedman [1] and Olenick and Carpenter [2] have presented a list of CFD packages that employ this approach.
Britter, CFD Simulations of a Tunnel Fire – Part II, Fire Saf.
Rehm, Large Eddy Simulation of Smoke Movement, Fire Saf.
Baum, CFD Fire Simulation Using Mixture Fraction Combustion and Finite Volume Radiative Heat Transfer, J.
Online since: February 2011
Authors: Guo Qing Zhang, Fei Wang, Yong Xu
Investigation of the Unsteady Flow for the Supersonic Jet Element
Yong Xu1, a, Guoqing Zhang1, b and Fei Wang2,c
1School of Aerospace Engineering, Beijing Institute of Technology, Beijing, 100081, China
2 School of Mechanical and Electronic Engineering, Beijing Institute of Technology, Beijing, 100081, China
axyxuyong@263.net, bzhangguoqing@bit.edu.cn, cwfphd@126.com
Keywords: Supersonic Jet Element; Numerical Simulation; Unsteady Flow; Vortex.
Abstract: The unsteady viscous flow of the supersonic jet element (SJE) was simulated numerically based on CFD technology.
Fig.1 The work mechanism of the SJE Fig.2 Computational grids of the SJE Numerical Simulation Grids Generation.
The computational grid for the numerical simulation is shown as Fig.2.
Gravitational body force and external body forces are ignored, at the same time the wall conditions that include insulation and no sliding are assumed. [2] The model of turbulence is Realizable k-epsilon Model, and enhanced wall treatment that combines a two-layer model with enhanced wall functions is employed.[3] FLUENT (a kind of CFD software) is applied to calculate the unsteady flow, and a dual time-stepping scheme and AMG scheme are employed to solve the unsteady flows in SJE.
Abstract: The unsteady viscous flow of the supersonic jet element (SJE) was simulated numerically based on CFD technology.
Fig.1 The work mechanism of the SJE Fig.2 Computational grids of the SJE Numerical Simulation Grids Generation.
The computational grid for the numerical simulation is shown as Fig.2.
Gravitational body force and external body forces are ignored, at the same time the wall conditions that include insulation and no sliding are assumed. [2] The model of turbulence is Realizable k-epsilon Model, and enhanced wall treatment that combines a two-layer model with enhanced wall functions is employed.[3] FLUENT (a kind of CFD software) is applied to calculate the unsteady flow, and a dual time-stepping scheme and AMG scheme are employed to solve the unsteady flows in SJE.
Online since: June 2024
Authors: Ghufran Kahdem, Ahmed AL-Saadi
a,*ghufrankahdem@gmail.com, bahmed.shakir@qu.edu.iq
Keywords: Microchannel; Laminar; Heat transfer; CFD simulation; Thermal analysis.
Numerical approach CFD simulations involve the use of computer software to model the movement of fluids inside a microchannel.
The accuracy of CFD simulations depends on the quality of the model input, including boundary conditions and fluid properties [17].
CFD analysis yields the following findings.
Simulations are dependent mainly on the mesh quality.
Numerical approach CFD simulations involve the use of computer software to model the movement of fluids inside a microchannel.
The accuracy of CFD simulations depends on the quality of the model input, including boundary conditions and fluid properties [17].
CFD analysis yields the following findings.
Simulations are dependent mainly on the mesh quality.
Online since: October 2011
Authors: Azadeh Sajedin, Mahdi Ahmadi, Omid Farhangian Marandi, Seyed Ali Jazayeri
The more suitable way is to combine a virtual-engine simulation with some basic experiments used for initial calibration of engine model and finally for the confirmation of optimum results checking the vicinity of simulation-predicted optimum matching.
Supercharged turbocharged engine modeling and simulation All of the modeling and simulation work for full load and Performance was done using Gamma Technologies GT-Power, a commercially available 1-D CFD tool (figure1).
GT power simulation of Engine The engine model was based upon a calibrated model of a 1.7L turbocharged SI engine.
It was respected during simulation by maintaining the same safety margin to the knock limit or admitting the same (small).
Vitek, J,Masek, P.Baumruk, “Simulation of supercharged and turbocharged small spark-ignition engine “,MECCA 3/2003
Supercharged turbocharged engine modeling and simulation All of the modeling and simulation work for full load and Performance was done using Gamma Technologies GT-Power, a commercially available 1-D CFD tool (figure1).
GT power simulation of Engine The engine model was based upon a calibrated model of a 1.7L turbocharged SI engine.
It was respected during simulation by maintaining the same safety margin to the knock limit or admitting the same (small).
Vitek, J,Masek, P.Baumruk, “Simulation of supercharged and turbocharged small spark-ignition engine “,MECCA 3/2003
Online since: March 2011
Authors: Xiao Long Yang, Kai Yao Hu, Tie Ping Lin, Jia Yang
CFD is a useful tool to study the aerodynamics of vehicle [2-5].
Turbulence models play a key role in CFD.
The turbulence models can be divided into three categories: direct numerical simulation (DNS), large eddy simulation (LES) and Reynolds averaged Navior-Stokes simulation (RANS) [4-5].
A hybrid mesh is adopted for the simulation which mainly is hex-blocks.
Large eddy simulation of rotating decaying turbulence.
Turbulence models play a key role in CFD.
The turbulence models can be divided into three categories: direct numerical simulation (DNS), large eddy simulation (LES) and Reynolds averaged Navior-Stokes simulation (RANS) [4-5].
A hybrid mesh is adopted for the simulation which mainly is hex-blocks.
Large eddy simulation of rotating decaying turbulence.
Online since: May 2020
Authors: Pudsadee Chupong, Karuna Tuchinda
Recently, computational fluid dynamics (CFD) was used as an attempt to predict particle impact velocity for a specific machine and system arrangement.
The time of simulation was 60 ns.
Fig. 4(a)-(b) present the example of the coverage area predicted by CFD [20] and obtained from the shot peening process, respectively.
(a) Coverage area showing impact velocity from CFD[20] (b) Coverage area by shot peening process (c) Surface hardness Fig. 4 Coverage area predicted by CFD [2] (a) and obtained experimentally (b) and surfac hardness at different point in the shot peening area (c) The average residual stress and hardness after shot peening for different pressure are presented in Table 3.
Table 3 Surface hardness and residual stress results after shot peening Pressure (MPa) Surface hardness (HV) Residual stress (MPa) X Y 0.35 553.67 ±45.7 -441.8 ±20.87 -436.6 ±16.86 0.6 542.6 ±87.4 -406.8 ±21.92 -440 ±24.43 Simulation.
The time of simulation was 60 ns.
Fig. 4(a)-(b) present the example of the coverage area predicted by CFD [20] and obtained from the shot peening process, respectively.
(a) Coverage area showing impact velocity from CFD[20] (b) Coverage area by shot peening process (c) Surface hardness Fig. 4 Coverage area predicted by CFD [2] (a) and obtained experimentally (b) and surfac hardness at different point in the shot peening area (c) The average residual stress and hardness after shot peening for different pressure are presented in Table 3.
Table 3 Surface hardness and residual stress results after shot peening Pressure (MPa) Surface hardness (HV) Residual stress (MPa) X Y 0.35 553.67 ±45.7 -441.8 ±20.87 -436.6 ±16.86 0.6 542.6 ±87.4 -406.8 ±21.92 -440 ±24.43 Simulation.
Online since: January 2016
Authors: Martin Němec, Petr Straka
Results of the numerical
simulation are compared with the experimental data.
Top row - CFD results, bottom row - experimental measurements.
Dots - experimental measurements, line - CFD results.
Dots - experimental measurements, line - CFD results.
Straka, Simulation of a 3D Unsteady Flow in an Axial Turbine Stage, EPJ Web of Conferences 25, 01090 (2012)
Top row - CFD results, bottom row - experimental measurements.
Dots - experimental measurements, line - CFD results.
Dots - experimental measurements, line - CFD results.
Straka, Simulation of a 3D Unsteady Flow in an Axial Turbine Stage, EPJ Web of Conferences 25, 01090 (2012)
Online since: November 2013
Authors: Chao Lv, Ya Nan Wang, Shi Ming Wang, Ka Tian
Flow Field Analysis of a Horizontal Wave Flow Turbine Power Plant Based on FLUENT
Shiming Wanga, Ka Tian*b, Chao Lvc, Yanan Wangd
Engineering Institute of Shanghai Ocean University, Shanghai ,China;201306
asmwang@shou.edu.cn;b tkqq111010@163.com; cclv@shou.edu.cn;d3530245322@qq.com
Keywords: Renewable energy; Turbine; Power generator; CFD; FLUENT.
FLUENT, as one of the computational fluid dynamics (CFD) software becomes the main software in solving engineering fluid issues [3-5].
Control Equations For saving calculation time, CFD took simplified Reynolds Model of two equations to calculate rotation issues[6].
, , (3) Simulation Power Plant Introduction.
Fluid engineering simulation and analysis of fluent [M].Beijing: Press of Beijing Technology Institute ,2009
FLUENT, as one of the computational fluid dynamics (CFD) software becomes the main software in solving engineering fluid issues [3-5].
Control Equations For saving calculation time, CFD took simplified Reynolds Model of two equations to calculate rotation issues[6].
, , (3) Simulation Power Plant Introduction.
Fluid engineering simulation and analysis of fluent [M].Beijing: Press of Beijing Technology Institute ,2009
Online since: July 2011
Authors: Bai Hua Li, Ming Ming Ji, Lin Hua Piao
Study on the Airflow Level Posture Sensor Based on Fluid-Solid coupling
Ming-Ming Ji1, a, Lin-Hua Piao2, b, Bai-Hua Li3,c
1Beijing Information Science and Technology University, Beijing China
2Beijing Information Science and Technology University, Beijing China
3Beijing Information Science and Technology University, Beijing China
ajmm3862411@126.com, bbjplh@bistu.edu.cn, clibaihua0226@yahoo.cn
Key words: three-dimensional; airflow level posture sensor; ansys-flotran cfd; Fluid-Solid coupling
Abstract.
Using ANSYS program, the finite element simulation based on Fluid-Solid coupling is conducted by a series of procedures, such as three-dimensional model building of airflow level posture sensor according to the actual size of the proportion, network modifying, loads applying and equation solving.
The numerical results show that: 1) The velocity difference of air flow at two heat source changes with the tilt angle, the difference between airflow velocity increases with the increase of the tilt angle. 2)Compared with two-dimensional modeling, the simulation result of three-dimensional modeling and fluid-solid analysis methods are more comprehensive and accurate, which provides more reliable basis for practical research of the airflow level posture sensor.
Analysis method Using FLOTRAN CFD module of ANSYS software and the application of fluid-structure interaction analyzed fluid transmission between heat and air.
Conclusions The finite element method based on fluid-structure interaction, three-dimensional model of sensitive components of air flow posture sensor is built, using ANSYS-FLOTRAN CFD software to calculate the flow velocity inside airflow posture sensor in the horizontal and inclined state distribution.
Using ANSYS program, the finite element simulation based on Fluid-Solid coupling is conducted by a series of procedures, such as three-dimensional model building of airflow level posture sensor according to the actual size of the proportion, network modifying, loads applying and equation solving.
The numerical results show that: 1) The velocity difference of air flow at two heat source changes with the tilt angle, the difference between airflow velocity increases with the increase of the tilt angle. 2)Compared with two-dimensional modeling, the simulation result of three-dimensional modeling and fluid-solid analysis methods are more comprehensive and accurate, which provides more reliable basis for practical research of the airflow level posture sensor.
Analysis method Using FLOTRAN CFD module of ANSYS software and the application of fluid-structure interaction analyzed fluid transmission between heat and air.
Conclusions The finite element method based on fluid-structure interaction, three-dimensional model of sensitive components of air flow posture sensor is built, using ANSYS-FLOTRAN CFD software to calculate the flow velocity inside airflow posture sensor in the horizontal and inclined state distribution.