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Online since: July 2011
Authors: Lei Li, Yuan Sheng Li, Liang Bo Ao, Zhi Xun Wen, Zhu Feng Yue
In recent years, the variable complexity optimization (VCO) has been one important part of multidisplinary design optimization (MDO) because it can lower the calculation complexity of simulation optimization efficiently [3].
Fig. 1 Turbine blade profile The rapid development of computational fluid dynamics (CFD), especially three-dimensional CFD, makes the simulation results of blade more really.
Table 1 Comparison of total pressure loss coefficient between the origin and the optimized Section Trend Origin Optimized Relative improvement Root ↓ 0.107 0.065 39.25% Middle ↓ 0.094 0.077 18.09% Tip ↓ 0.162 0.121 25.31% Root section Middle section Tip section Fig. 2 Comparison of the three profiles between the origin and the optimized Root section Middle section Tip section Fig. 3 Static pressure of cascades 3 VCO of turbine blade The VCO method is used to enhance the optimizing efficiency because the three-dimensional CFD of turbine blade costs high time complexity.
Fig. 1 Turbine blade profile The rapid development of computational fluid dynamics (CFD), especially three-dimensional CFD, makes the simulation results of blade more really.
Table 1 Comparison of total pressure loss coefficient between the origin and the optimized Section Trend Origin Optimized Relative improvement Root ↓ 0.107 0.065 39.25% Middle ↓ 0.094 0.077 18.09% Tip ↓ 0.162 0.121 25.31% Root section Middle section Tip section Fig. 2 Comparison of the three profiles between the origin and the optimized Root section Middle section Tip section Fig. 3 Static pressure of cascades 3 VCO of turbine blade The VCO method is used to enhance the optimizing efficiency because the three-dimensional CFD of turbine blade costs high time complexity.
Online since: January 2015
Authors: Xiang Chun Li, Yi Liang Zhao, Yang Yang Meng, Fei Fei Zhu, Chun Li Yang
Goaf gas flow patterns are simulated by applying the CFD model development method based on FLUENT program.
The result of numerical simulation is consistent with the experiment on the spot and it suggests that studying goaf gas flow patterns by applying CFD model is one of the feasible methods (Hu et al.)[10].The differential equation is solved by using SIMPLE method and the result of gas concentration distribution is gotten while coal mining machine in working face is cutting coal (Liang et al.)[11].Through numerical simulation, the distribution and the law of its variation of gas concentration field in the upper corner under different conditions of pulsed ventilation are obtained and the result of numerical simulation is consistent with the experiment on the spot (Wang et al.)[12].
CFD simulation of goaf gas flow patterns.
Numeric simulation on gas movement law in working face.
Numerical simulation and experimental study of gas transport in the upper corner of mining face under pulsed ventilation.
The result of numerical simulation is consistent with the experiment on the spot and it suggests that studying goaf gas flow patterns by applying CFD model is one of the feasible methods (Hu et al.)[10].The differential equation is solved by using SIMPLE method and the result of gas concentration distribution is gotten while coal mining machine in working face is cutting coal (Liang et al.)[11].Through numerical simulation, the distribution and the law of its variation of gas concentration field in the upper corner under different conditions of pulsed ventilation are obtained and the result of numerical simulation is consistent with the experiment on the spot (Wang et al.)[12].
CFD simulation of goaf gas flow patterns.
Numeric simulation on gas movement law in working face.
Numerical simulation and experimental study of gas transport in the upper corner of mining face under pulsed ventilation.
Online since: September 2013
Authors: Yuan Lv, Bin Cao, Li Jing Zhang, Gang Tao
Using CFD software PHOENICS 3.5, Zhang Jinhua studied the law of the road tunnel fire smoke concentration field and temperature field, in different longitudinal ventilation speed[6].WK Chow[7] only changed the outlet velocity of the air curtain, simulated by CFD the large space using air curtain blocking the flue gas into the atrium from the fire area for two different sources of ignition power in certain large space ventilation rate conditions, and obtained some useful results.
The simulation time takes 300s.
Numerical Simulation on the Effectiveness of Smoke-preventing Single Blowing Air Curtain [D].
Numerical Simulation on the Influence of Air Outlet Angles on the Effectiveness of Smoke-preventing Air Curtain [J].
Numerical simulation on the Tunnel fire smoke flow [J].
The simulation time takes 300s.
Numerical Simulation on the Effectiveness of Smoke-preventing Single Blowing Air Curtain [D].
Numerical Simulation on the Influence of Air Outlet Angles on the Effectiveness of Smoke-preventing Air Curtain [J].
Numerical simulation on the Tunnel fire smoke flow [J].
Online since: January 2012
Authors: Zhen Ya Duan, Ying Ying Dong, Fu Lin Zheng, Jun Mei Zhang
Numerical Simulation and Experimental Verification of Butterfly Porous Fences
Z.Y.
These studies laid a foundation in numerical simulation of the porous fence.
In this paper, FLUENT CFD software was used to present a numerical model for butterfly porous fence to simulate the flow characteristics behind it.
Numerical Simulation Numerical Model Establishment.
of the numerical simulation and the experiment are 0.589 and 0.639 respectively.
These studies laid a foundation in numerical simulation of the porous fence.
In this paper, FLUENT CFD software was used to present a numerical model for butterfly porous fence to simulate the flow characteristics behind it.
Numerical Simulation Numerical Model Establishment.
of the numerical simulation and the experiment are 0.589 and 0.639 respectively.
Online since: September 2013
Authors: Cheng Fei Fan, Yao Hua Wang, Rui Ma, Mian Jun Duan, Xing Chang
The Force State Analysis of theService Door on anAirliner
Chengfei FAN, Yaohua WANG,Rui MA,Mianjun DUAN, Xing CHANG
College of Field Engineering, PLA University of Science and Technology,
Hai Fu Xiang Street 1, Nanjing, Jiangsu, China
tjufcf@163.com
Keywords: The service door; Force state; Bernoulli's Equation; Computational fluid dynamics theory; Numerical simulation.
The movement trajectory and the force state of the service door were obtained by the computational fluid dynamics theory and numerical simulation method.
Then, the force on the service door is, The force analysis of the motion service door When the service door is moving, the load characteristics and the flow field would been obtained through the computational fluid dynamics (CFD) simulation analysis method[5].
The force on the service door was got by the fluid mechanics knowledge, the Bernoulli's Equation, and the computational fluid dynamics (CFD) simulation analysis method.
The movement trajectory and the force state of the service door were obtained by the computational fluid dynamics theory and numerical simulation method.
Then, the force on the service door is, The force analysis of the motion service door When the service door is moving, the load characteristics and the flow field would been obtained through the computational fluid dynamics (CFD) simulation analysis method[5].
The force on the service door was got by the fluid mechanics knowledge, the Bernoulli's Equation, and the computational fluid dynamics (CFD) simulation analysis method.
Online since: February 2013
Authors: Dan Luo, Zhao Zhong Yang, Xiao Gang Li, Zhou Su
Online since: October 2011
Authors: Fatemehsadat Salehi, Ramin Haghighi Khoshkho
Fig.1.3D model of air cooled condenser
Fig.2.Layout of steam duct of air cooled condenser
Fig.3.Semi-model for CFD analysis
Fig.4.Grid configuration and layer mesh of steam duct
Solution Algorithm
The steam flow is modeled as an incompressible, turbulent and single phase flow.
Turbulence modeling and grid generation are dominant factors that affect the ability of CFD to accurately predict flow treatment.
No-slip velocity condition is applied to all walls and for simulation flow field near the walls “enhance wall treatment” is set.
The CFD analysis of the steam duct shows that the flow detaches from the wall shortly after the inlet to the conical section in the main duct.
[6] Gatski, T.B. and Hussaini, M., 1996, “Simulation and Modeling of Turbulent Flows”, Oxford University Press, ISBN 0-19-510643-1
Turbulence modeling and grid generation are dominant factors that affect the ability of CFD to accurately predict flow treatment.
No-slip velocity condition is applied to all walls and for simulation flow field near the walls “enhance wall treatment” is set.
The CFD analysis of the steam duct shows that the flow detaches from the wall shortly after the inlet to the conical section in the main duct.
[6] Gatski, T.B. and Hussaini, M., 1996, “Simulation and Modeling of Turbulent Flows”, Oxford University Press, ISBN 0-19-510643-1
Online since: January 2014
Authors: Jin Run Cheng, Zhen Dong Zhang, Guan Qiang Ruan
By numerical calculation with simulation of software FIRE, the effect of different combustion chamber structures on the cylinder pressure, temperature, accumulated heat release and the parameters such as NOx mass fraction was analyzed.
From the simulation results, the optimized fuel injection advance angle had greatly improved the diesel combustion and emission performance.
Based on diesel engine combustion as the research object, this paper had established a numerical model of combustion procedure of diesel engine by means of CFD simulation, studied the influence of different parameters on the combustion performance and optimized the structural parameters of diesel engine.
From the perspective of the engineering CFD calculation, model is a widely applied turbulence model currently, heat transfer and combustion flow can be calculated.
Simulation and analysis of the diesel engine combustion process based on FIRE [J].
From the simulation results, the optimized fuel injection advance angle had greatly improved the diesel combustion and emission performance.
Based on diesel engine combustion as the research object, this paper had established a numerical model of combustion procedure of diesel engine by means of CFD simulation, studied the influence of different parameters on the combustion performance and optimized the structural parameters of diesel engine.
From the perspective of the engineering CFD calculation, model is a widely applied turbulence model currently, heat transfer and combustion flow can be calculated.
Simulation and analysis of the diesel engine combustion process based on FIRE [J].
Online since: February 2026
Authors: Ondari Brian Overmars, Stephen Kimutai, Emmanuel Mukubwa
The CFD aids in reduction of experimental costs and time, it is also highly flexible.
Where parameter optimization is required, CFD has come in handy.
Modelling aids simulation in moving bed profiles as well as volatiles and char analysis, [56]. 3.0.
[23] Miao Yang, Shenghui Zhong, Shijie Xu, Peter Ottosson, Hesameddin Fatehi and Xue-Song Bai, “CFD Simulation of Biomass Combustion in an Industrial Circulation Fluidized Bed Furnace”.
Gokalp I., (2015), Review on CFD based models for co-firing coal and biomass.
Where parameter optimization is required, CFD has come in handy.
Modelling aids simulation in moving bed profiles as well as volatiles and char analysis, [56]. 3.0.
[23] Miao Yang, Shenghui Zhong, Shijie Xu, Peter Ottosson, Hesameddin Fatehi and Xue-Song Bai, “CFD Simulation of Biomass Combustion in an Industrial Circulation Fluidized Bed Furnace”.
Gokalp I., (2015), Review on CFD based models for co-firing coal and biomass.
Online since: May 2012
Authors: Jun Feng Wang, Juan Juan Zhang, Wen Long Mao, Feng Gu, Yuan Ping Huo
The work presented here reports on the numerical simulation of an air-assisted boom spraying and droplets transporting process.
The simulation domain of the model is shown in fig. 1.
The numerical simulations were carried out with the commercial software of computational fluid dynamic, FLUENT6.3.
Evaluation of a pneumatic-shielded spraying system by CFD simulation.
Evaluation of air-assisted boom spraying system under a no-canopy condition using CFD simulation[J].
The simulation domain of the model is shown in fig. 1.
The numerical simulations were carried out with the commercial software of computational fluid dynamic, FLUENT6.3.
Evaluation of a pneumatic-shielded spraying system by CFD simulation.
Evaluation of air-assisted boom spraying system under a no-canopy condition using CFD simulation[J].