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Online since: January 2018
Authors: Tomotaka Homae, Yoshio Nakayama, Tomoharu Matsumura, Kunihiko Wakabayashi, Yuta Sugiyama
Blast Wave Mitigation from the Straight Tube by Using Water
Part II - Numerical Simulation
Yuta Sugiyama1,a*, Tomotaka Homae2,b, Kunihiko Wakabayashi1,c,
Tomoharu Matsumura1,d and Yoshio Nakayama1,e
1National Institute of Advanced Industrial Science and Technology, Central 5, Higashi 1-1-1, Tsukuba, Ibaraki, Japan
2National Institute of Technology, Toyama College, 1-2 Ebie-neriya, Imizu, Toyama, Japan
ayuta.sugiyama@aist.go.jp, bhomae@nc-toyama.ac.jp, ck-wakabayashi@aist.go.jp, dt-matsumura@aist.go.jp, ey-nakayama@aist.go.jp
Keywords: Mitigation, Blast wave, Water, Energy exchange, CFD
Abstract.
Numerical simulations are used to assess the effect of water that is put inside the tube.
Because detailed data on the explosion phenomenon are required to clarify the mitigation mechanism, a numerical simulation would be a useful tool.
Cylindrical high explosive (H.E.) is located near the end wall In numerical simulations of explosions and blast-wave propagation, the grid resolution is often determined by the number of grid points in a scaled distance Z [m/kg1/3].
Lines and symbols denote data of the present simulations and the previous experiments [7], respectively.
Numerical simulations are used to assess the effect of water that is put inside the tube.
Because detailed data on the explosion phenomenon are required to clarify the mitigation mechanism, a numerical simulation would be a useful tool.
Cylindrical high explosive (H.E.) is located near the end wall In numerical simulations of explosions and blast-wave propagation, the grid resolution is often determined by the number of grid points in a scaled distance Z [m/kg1/3].
Lines and symbols denote data of the present simulations and the previous experiments [7], respectively.
Online since: August 2014
Authors: Iveta Skotnicova, Lenka Lausova, Jiri Brozovsky
The measured temperature values are compared with the results obtained from numerical simulation of the dynamic heat transport using non-stationary boundary conditions.
The value of heat flux determined by numerical simulation at the point between the columns is the same as the measured mean value of the local heat flux.
All results of simulation calculations have got sufficient accuracy.
Lausova, Experimental Measurement and Numerical Simulation of Dynamic Thermal Performance of External Timber Frame Wall.
Blejchar, M Bojko, M Kozubkova, CFD simulations of the effect of wind on the spontaneous heating of coal stockpiles, Fuel. 2014, vol. 118, pp. 107-112, ISSN 0016-2361, DOI: 10.1016/j.fuel.2013.10.064.
The value of heat flux determined by numerical simulation at the point between the columns is the same as the measured mean value of the local heat flux.
All results of simulation calculations have got sufficient accuracy.
Lausova, Experimental Measurement and Numerical Simulation of Dynamic Thermal Performance of External Timber Frame Wall.
Blejchar, M Bojko, M Kozubkova, CFD simulations of the effect of wind on the spontaneous heating of coal stockpiles, Fuel. 2014, vol. 118, pp. 107-112, ISSN 0016-2361, DOI: 10.1016/j.fuel.2013.10.064.
Online since: October 2013
Authors: Huan Xu, Ge Gao, Zhi Qiang Li, Yang Yang Tang, Jian Guo, He Dong
The numerical method used in this simulation is an unstructured staggered mesh scheme.
This paper focuses on the application of the multiscale model in numerical simulation of flow around a triangle cylinder. 2.
In the present study, numerical simulations were carried out using two kinds of turbulence model.
Numerical simulation of vortex shedding past triangular cylinders at high reynolds number using a k-ε turbulence model.
Turbulence Modeling for CFD [M].
This paper focuses on the application of the multiscale model in numerical simulation of flow around a triangle cylinder. 2.
In the present study, numerical simulations were carried out using two kinds of turbulence model.
Numerical simulation of vortex shedding past triangular cylinders at high reynolds number using a k-ε turbulence model.
Turbulence Modeling for CFD [M].
Online since: May 2012
Authors: Jian Fei Zhang, Kai Zhen Zhu, Shuang Jia, Xu Du, Li Juan Zhang
,LTD)
Keywords: Aerobic composting; Mechanical ventilation; Ammoniadistribution; Simulation and analysis
Abstract.
Based on measured ventilation condition in thebuiltaerobic composting plant of large sludge treatment engineering,usingthe methord of CFD, four kinds of scheme for the new aerobic composting plantwere analysed,which contain two types of ventilation(natural air supply mechanical exhaust and mechanical air mechanical ventilation)and two kinds of supply air rates (4x105m3/h and 8x105m3/h).
The object of this simulation is incompressible fluent.The pollutant of this plant mainly contain ammonia,which is a kind of complex turbulent motion[9],and obey the above governing equation.In this article,indoorzeroequation model will be taken to solve the problem[10].
Fig.1 Theary of ventilation Simulation The size of exhaust outlet is 0.5m×0.3m,and the exhaust rate is 1280m3/h per vent.The plant have 2 doors,which size is 6.5m×6m,and have 56 windows,which size is 0.6m×1.8m.According to the theory of pollutant diffusion and the structure of the plant,this simulation complete 4 cases,which content the former case,as shown in Table.1.Multivariant simulations are compared to analysis the spead of ammonia in different ventilate conditions,which can offer the optimized case of air current composition.
[10] Spengler J D,ChenQ.Indoor air quality factors in designing a healthy building.Annual Review of Energy and the Environment,2000,25:567601 [11]Aoyongan,Wangli,Numerical Simulation of Pollutant Diffusion Law in Bathroom and Optimization of the Locations and Ways of Exhaust Outlet and Makeup Air[J].Journal of Shenyang Jianzhu University(Natural Science),2011,4:56-60
Based on measured ventilation condition in thebuiltaerobic composting plant of large sludge treatment engineering,usingthe methord of CFD, four kinds of scheme for the new aerobic composting plantwere analysed,which contain two types of ventilation(natural air supply mechanical exhaust and mechanical air mechanical ventilation)and two kinds of supply air rates (4x105m3/h and 8x105m3/h).
The object of this simulation is incompressible fluent.The pollutant of this plant mainly contain ammonia,which is a kind of complex turbulent motion[9],and obey the above governing equation.In this article,indoorzeroequation model will be taken to solve the problem[10].
Fig.1 Theary of ventilation Simulation The size of exhaust outlet is 0.5m×0.3m,and the exhaust rate is 1280m3/h per vent.The plant have 2 doors,which size is 6.5m×6m,and have 56 windows,which size is 0.6m×1.8m.According to the theory of pollutant diffusion and the structure of the plant,this simulation complete 4 cases,which content the former case,as shown in Table.1.Multivariant simulations are compared to analysis the spead of ammonia in different ventilate conditions,which can offer the optimized case of air current composition.
[10] Spengler J D,ChenQ.Indoor air quality factors in designing a healthy building.Annual Review of Energy and the Environment,2000,25:567601 [11]Aoyongan,Wangli,Numerical Simulation of Pollutant Diffusion Law in Bathroom and Optimization of the Locations and Ways of Exhaust Outlet and Makeup Air[J].Journal of Shenyang Jianzhu University(Natural Science),2011,4:56-60
Online since: December 2012
The papers come from both academia and industry reflecting the
international flavor of this event in the topics of Acoustics And Noise Control,
Ballistics, Biomechanics, Biomedical Engineering, CAD/CAM/CIM, CFD, Composite
And Smart Materials, Compressible Flows, Computational Mechanics, Computational
Techniques, Dynamics And Vibration, Energy Engineering And Management,
Engineering Materials, Fatigue And Fracture, Applied Mechanics, Automation,
Mechatronics And Robotics, Fluid Dynamics, Fluid Mechanics And Machinery,
Fracture, Fuels And Combustion, Aerodynamics, Textile And Leather Technology,
Transport Phenomena , Tribology , Automobiles, Automotive Engineering, General
Mechanics, Geomechanics, Instrumentation And Control, Internal Combustion
Engines, Machinery And Machine Design, Manufacturing And Production Processes,
Marine System Design, Material Science And Processing, Mechanical Design, Health
And Safety, Heat And Mass Transfer, HVAC, Material Engineering,
Mechanical Power Engineering, Mechatronics, Noise And Vibration, Noise Control, NonDestructive Evaluation, Nonlinear Dynamics, Oil And Gas Exploration, Operations Management, PC Guided Design And Manufacture, MEMS And Nano Technology, Multibody Dynamics, Nanomaterial Engineering, New And Renewable Energy, Plasticity Mechanics, Pollution And Environmental Engineering, Resistance And Propulsion, Robotic Automation And Control, Solid Mechanics, Structural Dynamics, Precision Mechanics, Mechatronics, Production Technology, Quality Assurance And Environment Protection, System Dynamics And Simulation, Turbulence, Vibrations , etc.
Mechanical Power Engineering, Mechatronics, Noise And Vibration, Noise Control, NonDestructive Evaluation, Nonlinear Dynamics, Oil And Gas Exploration, Operations Management, PC Guided Design And Manufacture, MEMS And Nano Technology, Multibody Dynamics, Nanomaterial Engineering, New And Renewable Energy, Plasticity Mechanics, Pollution And Environmental Engineering, Resistance And Propulsion, Robotic Automation And Control, Solid Mechanics, Structural Dynamics, Precision Mechanics, Mechatronics, Production Technology, Quality Assurance And Environment Protection, System Dynamics And Simulation, Turbulence, Vibrations , etc.
Online since: November 2014
Authors: Xiang Gou, Zi Fang Wang, Jian Li Liu, Lian Sheng Liu, Ye Bin Yin, Jin Xiang Wu, En Yu Wang
Ghodsipour and Sadrameli [11] made an analysis of a rotary air preheater for the flue gas heat recovery and good agreement has been obtained between the simulation results and experimental data.
In this simulation work, mixture multiphase flow model is applied to solve the flow process inside the heater, the continuity equation for the mixture is ∂(rm)∂t+∇×(rmvm)=0
CFD software is applied to simulate the heating process of the air by flue gas in this work.
Simulation results.
Deng, Numerical simulation research on mixing process of steam and crude oil, Energy Education Science and Technology Part A: Energy Science and Research. 32 (2014) 3125-3134.
In this simulation work, mixture multiphase flow model is applied to solve the flow process inside the heater, the continuity equation for the mixture is ∂(rm)∂t+∇×(rmvm)=0
CFD software is applied to simulate the heating process of the air by flue gas in this work.
Simulation results.
Deng, Numerical simulation research on mixing process of steam and crude oil, Energy Education Science and Technology Part A: Energy Science and Research. 32 (2014) 3125-3134.
Online since: November 2007
Authors: Carlos González-Rivera, Marco Ramírez-Argáez, F. Contreras-Bustos
The model simulates
operation with and without gas injection and it is developed in the commercial PHOENICS 3.4
CFD code in order to solve all conservation equations governing the process, i.e., continuity, 3D
turbulent Navier-Stokes and k-ε turbulence model for a two-phase fluid flow problem using the
Inter Phase Slip Algorithm.
Lane et al. [9] developed a model under an Eulerian frame of reference in a CFD code to predict mixing in a ladle equipped with a rotating impeller and a baffle.
The impeller has four nozzles positioned at equal distances from one to the other, making possible to consider only one fourth of the entire ladle as a computational domain for the simulations.
To run the simulations, a PC with a Pentium IV® processor was employed, and each simulation took about five hours to get convergent results.
Simulations without gas purging under standard conditions (a) Flow patterns.
Lane et al. [9] developed a model under an Eulerian frame of reference in a CFD code to predict mixing in a ladle equipped with a rotating impeller and a baffle.
The impeller has four nozzles positioned at equal distances from one to the other, making possible to consider only one fourth of the entire ladle as a computational domain for the simulations.
To run the simulations, a PC with a Pentium IV® processor was employed, and each simulation took about five hours to get convergent results.
Simulations without gas purging under standard conditions (a) Flow patterns.
Online since: September 2013
Authors: Gang Wang, Xuan Wang, Song Tao Hu, Feng Qi, Xin Xin Wang, Guo Dan Liu
This paper is the application of the CFD technology on a grand theatre of the supply air static pressure box flow uniformity simulation, and the analysis of the large space, structure irregular static pressure tank of air supply characteristics,And analysis of air supply characteristics of the large space structure irregular static pressure tank .
Model introduction The actual model size bigger,so take more typical regional modeling for simulation study.
So in this simulation calculation does not consider the energy loss.
And study different model corresponding to the different simulation results, a conclusion, determine the optimum design.
Computational fluid dynamics analysis, principle and application of CFD software.
Model introduction The actual model size bigger,so take more typical regional modeling for simulation study.
So in this simulation calculation does not consider the energy loss.
And study different model corresponding to the different simulation results, a conclusion, determine the optimum design.
Computational fluid dynamics analysis, principle and application of CFD software.
Online since: August 2013
Authors: H. Cheng, L. Yu, Y. Zhang
A Numerical Simulation of Parachute Opening Process Based on ALE Method
Y.
Benny and Stein proposed the CFD/MSD (Mass Spring Damper) coupling model[2], which ignores the influence of fabric characteristics, and the research result had no test to verify.
Kim and Peskin[3] used Immersed Boundary (IB) method to simulate the three-dimensional parachute in finite mass situation, but this method is suitable for low Reynolds number simulation and has no structural results, such as fabric stress and so on.
Fig. 1 The finite element model In order to compare the simulation results with the experiment[9], the working conditions of calculation is shown in Table 1.
t=0 s t=0.48 s t=0.81 s t=0.99 s t=1.43 s t=2.23 s Fig.2 Calculation results Comparison of Experiment and Numerical Simulation.
Benny and Stein proposed the CFD/MSD (Mass Spring Damper) coupling model[2], which ignores the influence of fabric characteristics, and the research result had no test to verify.
Kim and Peskin[3] used Immersed Boundary (IB) method to simulate the three-dimensional parachute in finite mass situation, but this method is suitable for low Reynolds number simulation and has no structural results, such as fabric stress and so on.
Fig. 1 The finite element model In order to compare the simulation results with the experiment[9], the working conditions of calculation is shown in Table 1.
t=0 s t=0.48 s t=0.81 s t=0.99 s t=1.43 s t=2.23 s Fig.2 Calculation results Comparison of Experiment and Numerical Simulation.
Online since: July 2014
Authors: A. Anoop, M. John Manu, M.P. Assiz
Bouquet, F. et al. (2001) [7] compares the thrust and specific impulse of igniters obtained from experimental analysis with numerical simulation.
Unstructured tetrahedral mesh is generated using ANSYS ICEM CFD.
CFD analysis is performed to obtain the fluid flow and mixing characteristics inside the each of the Igniter flow domains using ANSYS FLUENT 14.5.
Breussin, CFD Calculations on Hydrogen and Oxygen Combustion in Small Devices, 37th AIAA Joint Propulsion Conference, 2001-3712, (2001), pp. 1-9.
Unstructured tetrahedral mesh is generated using ANSYS ICEM CFD.
CFD analysis is performed to obtain the fluid flow and mixing characteristics inside the each of the Igniter flow domains using ANSYS FLUENT 14.5.
Breussin, CFD Calculations on Hydrogen and Oxygen Combustion in Small Devices, 37th AIAA Joint Propulsion Conference, 2001-3712, (2001), pp. 1-9.