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Online since: June 2011
Authors: Zhi Feng Zhang, Jun Xu, Yue Long Bai, Meng Ou Tang
3D numerical simulation of flow and temperature field in semi-solid slurry preparation by A-EMS
Meng-ou Tanga, Jun Xu, Zhi-feng Zhang and Yue-long Bai
General Research Institute for Non-ferrous Metals, Beijing 100088, China
amenciustang@126.com
Keywords: coupled-field analysis; electromagnetic stirring; semi-solid; A-EMS.
The effects of A-EMS on magnetic, flow and temperature field and the optimizing of annulus gap based on numerical simulation was investigate with corresponding experimental verification.
EMS Center pipe crucible Melt Fig.1 schematic diagram of A-EMS apparatus Simulation Procedure Physical model.
Numerical simulation of electromagnetic stirring processing involves several subjects including magneto dynamics, hydromechanics and thermodynamics.
Secondly, FLOTRAN CFD program was used to calculate the flow field and temperature field by loading the electromagnetic force into flow and temperature model.
The effects of A-EMS on magnetic, flow and temperature field and the optimizing of annulus gap based on numerical simulation was investigate with corresponding experimental verification.
EMS Center pipe crucible Melt Fig.1 schematic diagram of A-EMS apparatus Simulation Procedure Physical model.
Numerical simulation of electromagnetic stirring processing involves several subjects including magneto dynamics, hydromechanics and thermodynamics.
Secondly, FLOTRAN CFD program was used to calculate the flow field and temperature field by loading the electromagnetic force into flow and temperature model.
Online since: June 2022
Authors: Huu Tho Nguyen, Trong Hieu Bui, Ho Duc Huy Vo, Huu Nghi Huynh, Thi Thu Ha Thai
, simulation, flow behavior, PLA, PLA-copper.
A commercial computational fluid dynamic (CFD) software was used to analyse the change of flow parameters such as pressure drop, outlet velocity and temperature distribution due to the change of filament material properties and nozzle geometry.
Boundary condition of the simulation process.
From this pressure simulation results, the input velocity should be 1 mm/s to 5 mm/s.
The simulation results showed the safe velocity range was from 1 mm/s to 5 mm/s.
A commercial computational fluid dynamic (CFD) software was used to analyse the change of flow parameters such as pressure drop, outlet velocity and temperature distribution due to the change of filament material properties and nozzle geometry.
Boundary condition of the simulation process.
From this pressure simulation results, the input velocity should be 1 mm/s to 5 mm/s.
The simulation results showed the safe velocity range was from 1 mm/s to 5 mm/s.
Online since: October 2011
Authors: Xing Qian Peng, Yan Hong Chen, Chang Gui Qiao
First, the wind tunnel experiments were used to study static interference effects of groups, then numerical simulation of CFD software is adopt to simulate the case of C-type physiognomy, the static interference effects on wind field under different spacing configuration buildings is obtained, compared results with wind tunnel test, the correctness of conclusion can be verified.
Numerical Simulations With the rapid development of computer technology and numerical simulation, numerical simulation has made a great contribution to the study of predicting the surface wind load and the interference effects of the building groups.
Analysis of Simulation Results Comparison with Wind Tunnel Test In order to verify the accuracy of interference analysis of numerical simulation on the building groups, right here to compare the simulation data with the wind-tunnel test data.
Numerical simulation of wind pressures on a low-rise building complex with gable roofs [J].
Numerical Simulation of Wind Characteristic and Interference Effects on Low-rise Hip Roofed Buildings [D].
Numerical Simulations With the rapid development of computer technology and numerical simulation, numerical simulation has made a great contribution to the study of predicting the surface wind load and the interference effects of the building groups.
Analysis of Simulation Results Comparison with Wind Tunnel Test In order to verify the accuracy of interference analysis of numerical simulation on the building groups, right here to compare the simulation data with the wind-tunnel test data.
Numerical simulation of wind pressures on a low-rise building complex with gable roofs [J].
Numerical Simulation of Wind Characteristic and Interference Effects on Low-rise Hip Roofed Buildings [D].
Online since: September 2013
Authors: Min Xu, Guang Ning Li
The more sub-iterations performed, the more accurate the simulation.
If the physical time steps are set too big, the accurate of simulation will be degraded.
A practicably approach for unsteady calculation with CFD is to use high order upwind difference schemes and implicit time marching method to provide accuracy, robustness and efficiency.
The error in disregarding the GCL is less than other possible errors in the simulation procedure.
They thought a reasonable sub-iteration criterion chosen for unsteady solutions is very important for accurate and efficient simulations.
If the physical time steps are set too big, the accurate of simulation will be degraded.
A practicably approach for unsteady calculation with CFD is to use high order upwind difference schemes and implicit time marching method to provide accuracy, robustness and efficiency.
The error in disregarding the GCL is less than other possible errors in the simulation procedure.
They thought a reasonable sub-iteration criterion chosen for unsteady solutions is very important for accurate and efficient simulations.
Online since: April 2016
Authors: Reza Saifi, Afshin Shaygani, Mahdi Sani, Mohammad Said Saidi
Electric Potential Simulation
Electric potential contours are shown in Fig. 10.
Simulation of the flow field with double precision was carried out for the geometry shown in Fig. 3.
Zero electric potential on the cylinders were set for this simulations.
“Numerical Simulation of Flow and Electric Fields in an Electrical Mobility Spectrometer.”
[17] Biskos, G. and Mastorakos, E. and Collings, N., “Monte-Carlo simulation of unipolar diffusion charging for spherical and non-spherical particles”, J.
Simulation of the flow field with double precision was carried out for the geometry shown in Fig. 3.
Zero electric potential on the cylinders were set for this simulations.
“Numerical Simulation of Flow and Electric Fields in an Electrical Mobility Spectrometer.”
[17] Biskos, G. and Mastorakos, E. and Collings, N., “Monte-Carlo simulation of unipolar diffusion charging for spherical and non-spherical particles”, J.
Online since: July 2014
Authors: S. Senthil Kumar, S. Karthikeyan
Mahmud and Islam [7] performed laminar free convection simulation with entropy generation method inside an inclined wavy cavity.
The governing equations with appropriate boundary conditions are solved under steady, incompressible conditions with the Boussinesq approximation, using the commercial CFD software, ANSYS FluentTM.
Fig. 2: Comparison of present simulation (Right) results of Isotherms (top) and streamlines (bottom) for Ra=20000, and Pr=0.71 with those of published work (Left) [9].
The effects of wavy surface, aspect ratio, and nanoparticles volume fraction on the local and mean Nusselt number have examined using numerical simulations.
Rudolf, Heat transfer enhancement for natural convection flow of water-based Nanofluid in a square enclosure, International Journal of Simulation Modelling, 11 (2012) 29–39
The governing equations with appropriate boundary conditions are solved under steady, incompressible conditions with the Boussinesq approximation, using the commercial CFD software, ANSYS FluentTM.
Fig. 2: Comparison of present simulation (Right) results of Isotherms (top) and streamlines (bottom) for Ra=20000, and Pr=0.71 with those of published work (Left) [9].
The effects of wavy surface, aspect ratio, and nanoparticles volume fraction on the local and mean Nusselt number have examined using numerical simulations.
Rudolf, Heat transfer enhancement for natural convection flow of water-based Nanofluid in a square enclosure, International Journal of Simulation Modelling, 11 (2012) 29–39
Online since: June 2017
Authors: Mir Safiulla, M. Brahmaiah, B. Iftekhar Hussain
Yun Zhang et al. had proposed a rapid BEM-based method for cooling simulation of injection molding [5].
Daver and Demirel had performed a simulation to study of the effect of pre-form cooling time in injection stretch blow molding applications [6].
ANSYS Workbench 15.0 simulation software package is used to carry out the analysis.
It ignores the other losses through atmospheric temperature and convection/CFD flow within the coolant.
"Numerical simulation of acrylonitrile-butadiene-styrene material’s vacuum forming process", Journal of Materials Processing Technology 91 (1999) 219–225
Daver and Demirel had performed a simulation to study of the effect of pre-form cooling time in injection stretch blow molding applications [6].
ANSYS Workbench 15.0 simulation software package is used to carry out the analysis.
It ignores the other losses through atmospheric temperature and convection/CFD flow within the coolant.
"Numerical simulation of acrylonitrile-butadiene-styrene material’s vacuum forming process", Journal of Materials Processing Technology 91 (1999) 219–225
Online since: October 2018
Authors: V.G. Merzlikin, T.V. Zhubreva, A.V. Kostukov
There was used the developed by the authors methodology of physical and mathematical simulation of thermoradiational (in the range 1-2 µm) and conductive heat transmission in ceramic thermal insulation of chamber combustion inner walls of a diesel engine.
Physical and Mathematical Simulation The paper considers a two-layer model of TBC [19, 20].
Principles of Operation and Simulation Analysis, Springer-Verlag London Limited, 2009
Aigner, Impact of radiation on the wall heat load at a test bench gas turbine combustion chamber: measurements and CFD simulation, Am.
Physical and Mathematical Simulation The paper considers a two-layer model of TBC [19, 20].
Principles of Operation and Simulation Analysis, Springer-Verlag London Limited, 2009
Aigner, Impact of radiation on the wall heat load at a test bench gas turbine combustion chamber: measurements and CFD simulation, Am.
Online since: November 2013
Authors: Min Xu, Jie Yang, Shi Wu Zhang, Bo Liu, Lei Wang
The structure models are built in ADINA structures based on the Lagrangian method and the fluid models are built in ADINA CFD based on the Arbitrary-Lagrangian-Eulerian (ALE) method, respectively, then they are solved together by the solver ADINA-FSI.
Besides, in this manuscript we concern about the flexibility of the whole fin, so we ignore some details for the simplification of computation, a simplified model can ignore unimportant details and avoid simulation difficulty, but give out useful results.
Simulation results of Young’s modulus The Youngs’ modulus varies from 2E5 Pa to 2E11 Pa, and the shape and size are fixed to the same for the same moment of inertia.
Simulation results of moment of inertia For rectangular cross section, moment of inertia is defined as bh3/12, b and h stands for wide length and height, respectively.
We conduct three simulations to assess whether the bending stiffness could be used as a uniform parameter.
Besides, in this manuscript we concern about the flexibility of the whole fin, so we ignore some details for the simplification of computation, a simplified model can ignore unimportant details and avoid simulation difficulty, but give out useful results.
Simulation results of Young’s modulus The Youngs’ modulus varies from 2E5 Pa to 2E11 Pa, and the shape and size are fixed to the same for the same moment of inertia.
Simulation results of moment of inertia For rectangular cross section, moment of inertia is defined as bh3/12, b and h stands for wide length and height, respectively.
We conduct three simulations to assess whether the bending stiffness could be used as a uniform parameter.
Online since: January 2012
Authors: Jiu Hua Xu, Q.S. He, Y.C. Fu, B.F. Zhang
Simulation on Heat Exchange Performance of Heat Pipe Grinding Wheel
Q.S.
Brian Rowe: International Journal of Machine Tools & Manufacture Vol. 41 (2001), p. 1-19 [4] Wang FU-jun: Computational Fluid Dynamics Analysis: Principles and Applications of CFD Software (Tsinghua University Publications, China 2010) [5] Zhang jun: Heat Pipe Technology and Engineering Application (Chemical Industrial Press, China 2006)
Brian Rowe: International Journal of Machine Tools & Manufacture Vol. 41 (2001), p. 1-19 [4] Wang FU-jun: Computational Fluid Dynamics Analysis: Principles and Applications of CFD Software (Tsinghua University Publications, China 2010) [5] Zhang jun: Heat Pipe Technology and Engineering Application (Chemical Industrial Press, China 2006)