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Online since: January 2017
Authors: Yan Ming Song, Yang Yang, Yong Kang Li, Fei Ran Zhang
Numerical Simulation of Flow and Heat Transfer for Cooling Roller
in Amorphous Spinning Process
Yong-Kang LI, Yang YANG*, Yan-Ming SONG, Fei-Ran ZHANG
School of Mechanical Engineering and Automation, Beihang University, Beijing, China
buaalyk@qq.com, sym0823@163.com
*Corresponding author
Keywords: Amorphous, Cooling Roller, Flow, Heat Transfer, Numerical Simulation.
Numerical simulation of cooling roller in planar flow melt spinning process was accomplished using CFD software, Get cooling water flow characteristics and the cooling roller wall temperature and pressure distribution with cooling roller rotation speed range 0-50r/s, The results show that: heat transfer coefficient h and Nusselt number between the cooling water and the inner wall surface of a copper roller creases with the increase of the cooling roller rotate speed, but the increase rate is relatively small; Effect of cooling roller rotate speed on inner wall pressure is large, cooling roller inner wall pressure increases with the rotation speed increase.
Simulation parameters are shown in Table 1.
[3] Song Y M, Yang Y, Numerical simulation of adsorption characteristics of magnetic take- up roll for amorphous ribbon [J].Journal ofBeijing University of Aeronautics and Astronautics, 2015, 41 (3): 472-478 (in Chinese)
Numerical Simulation of Initial Development of Fluid Flow and Heat Transfer in Planar Flow Casting Process [J].
Numerical simulation of cooling roller in planar flow melt spinning process was accomplished using CFD software, Get cooling water flow characteristics and the cooling roller wall temperature and pressure distribution with cooling roller rotation speed range 0-50r/s, The results show that: heat transfer coefficient h and Nusselt number between the cooling water and the inner wall surface of a copper roller creases with the increase of the cooling roller rotate speed, but the increase rate is relatively small; Effect of cooling roller rotate speed on inner wall pressure is large, cooling roller inner wall pressure increases with the rotation speed increase.
Simulation parameters are shown in Table 1.
[3] Song Y M, Yang Y, Numerical simulation of adsorption characteristics of magnetic take- up roll for amorphous ribbon [J].Journal ofBeijing University of Aeronautics and Astronautics, 2015, 41 (3): 472-478 (in Chinese)
Numerical Simulation of Initial Development of Fluid Flow and Heat Transfer in Planar Flow Casting Process [J].
Online since: October 2014
Authors: Jin Fu Yang, De Jun Wang, Chang Ting Chen
In recent years, with the development of computer and mathematics technology, works are concentrated on CFD simulation[9].The computational methodology allowed a clear capturing of the coherent structures of the flow field and it is helpful in understanding of complicated phenomenon.
Compared with CFD simulation, one-dimensional theory is easier to establish the relationship between pressure with target value and related parameters and to see through the appearance to perceive the essence.
Compared with CFD simulation, one-dimensional theory is easier to establish the relationship between pressure with target value and related parameters and to see through the appearance to perceive the essence.
Online since: June 2012
Authors: Zhen Zhe Li, Yun De Shen, Ming Ren, Mei Qin Li, Gui Ying Shen
Hu has studied the temperature distribution of the battery pack using CFD (computational fluid dynamics), and recommended a new cooling strategy for the battery pack[11].
In this study, the steady simulations were carried out using a commercial CFD code – FLUENT.
The standard k-ε turbulence model was used for the simulation of convection, and 3 dimensional heat conduction was included.
In this study, the steady simulations were carried out using a commercial CFD code – FLUENT.
The standard k-ε turbulence model was used for the simulation of convection, and 3 dimensional heat conduction was included.
Online since: June 2014
Authors: Xiao Du, Ming Hai Li, Shi He Li
,Ltd,Dalian 116028,China
a43665222@qq.com,bdlminghai@vip.sina.com
Keywords: FLUENT; boundary conditions; computerized simulation; diesel engine; injector nozzle
Abstract.
Research on Locomotive Diesel Engine Nozzle three-dimensional Flow Field Numerical Simulation and Improvement[J].
Numerical Simulation on Optimization of Diesel Nozzle[J].
Research on Numerical Simulation Analysis of Flow Field in the Diesel Engine Nozzle[J].
Research on CFD analysis of the Flow in Diesel Nozzle[J].
Research on Locomotive Diesel Engine Nozzle three-dimensional Flow Field Numerical Simulation and Improvement[J].
Numerical Simulation on Optimization of Diesel Nozzle[J].
Research on Numerical Simulation Analysis of Flow Field in the Diesel Engine Nozzle[J].
Research on CFD analysis of the Flow in Diesel Nozzle[J].
Online since: July 2014
Authors: Wei Huang, Hui Ming Shen, Ming Jun Hu, Shen Li, Xi Chen
ProCAST Introduction
ProCAST software set the simulation using the finite element method, it can be used for heat transfer calculation (including thermal radiation and angular coefficient calculation), calculation of the flow filling process, the calculation of thermal coupling stress field, microstructure simulation and predictive simulation of modeling Shrinkage.
Its open architecture provides the widest range of CAD, CAE and CFD software interfaces, and supports user-defined mode, which can be seamlessly integrated with any environment simulation.
Technology Development of Numerical Simulation of Casting , J.
Casting Simulation Method, J.
Finite element simulation of metal casting, J.
Its open architecture provides the widest range of CAD, CAE and CFD software interfaces, and supports user-defined mode, which can be seamlessly integrated with any environment simulation.
Technology Development of Numerical Simulation of Casting , J.
Casting Simulation Method, J.
Finite element simulation of metal casting, J.
Online since: July 2011
Authors: Yan Shun Yu, Pu Hua Qian, Shao Fan Zhang
Sureshkumar et al. [3,4] studied the heat and mass transfer process between a water spray and ambient air by experiment and simulation.
Talukdar et al. [8] performed the convective heat and mass transfer between water surface and humid air flowing in a horizontal 3D rectangular duct by CFD simulation.
Simulations, Applied Thermal Engineering Vol.28 (2008), p.361-371
J.Simonson: Combined heat and mass transfer for laminar flow of humid air in a 3D rectangular duct: CFD simulation and validation with experimental data, International Journal of Heat and Mass Transfer Vol.51 (2008), p.3091–3102
Talukdar et al. [8] performed the convective heat and mass transfer between water surface and humid air flowing in a horizontal 3D rectangular duct by CFD simulation.
Simulations, Applied Thermal Engineering Vol.28 (2008), p.361-371
J.Simonson: Combined heat and mass transfer for laminar flow of humid air in a 3D rectangular duct: CFD simulation and validation with experimental data, International Journal of Heat and Mass Transfer Vol.51 (2008), p.3091–3102
Online since: January 2015
Authors: Anastasia N. Fedosova, Oleg O. Egorychev, Sergey I. Dubinsky
High-rise residential complex wind aerodynamics simulation
Oleg O.
Fedosova3,c 1,2,3Moscow State University of Civil Engineering (MGSU), 26, Yaroslavskoe shosse, Moscow, 129337, Russian Federation aolenek31@gmail.com, bmgsu@broll.ru, csergdubpodlipki@mail.ru Keywords: Architecture and Construction aerodynamics, numerical simulation, wind loads, high-rise buildings, simulation of wind loads Abstract.
In this paper, the problem of the calculated characteristics giving is solved by numerical simulation, the estimated pressure indicates average components of the aerodynamic forces and moments are calculated, localization of peak pressure values are defined.
In the current design practice dominates the semi-empirical approach based on the decomposition of the velocity and pressure at the time averaged and fluctuating components and the transition to the solution of the Reynolds averaged Navier-Stokes (Reynolds Averaged Navier-Stoks Method, RANS), while shear (Reynolds) stress six unknowns are additional to the parameters of the mean flow and approximated, as a rule, by the Boussinesq hypothesis: Calculations are made of the complex aerodynamics of wind in the software package ANSYS CFD 15.0.
Using the modern numerical fluid dynamics methods, implemented in a universal software package ANSYS CFX 14.5 and specialized modules WINDLOAD / CFX, with verified three-dimensional numerical simulations average wind loads at the 36 wind directions (via 100) were determinate. 3.
Fedosova3,c 1,2,3Moscow State University of Civil Engineering (MGSU), 26, Yaroslavskoe shosse, Moscow, 129337, Russian Federation aolenek31@gmail.com, bmgsu@broll.ru, csergdubpodlipki@mail.ru Keywords: Architecture and Construction aerodynamics, numerical simulation, wind loads, high-rise buildings, simulation of wind loads Abstract.
In this paper, the problem of the calculated characteristics giving is solved by numerical simulation, the estimated pressure indicates average components of the aerodynamic forces and moments are calculated, localization of peak pressure values are defined.
In the current design practice dominates the semi-empirical approach based on the decomposition of the velocity and pressure at the time averaged and fluctuating components and the transition to the solution of the Reynolds averaged Navier-Stokes (Reynolds Averaged Navier-Stoks Method, RANS), while shear (Reynolds) stress six unknowns are additional to the parameters of the mean flow and approximated, as a rule, by the Boussinesq hypothesis: Calculations are made of the complex aerodynamics of wind in the software package ANSYS CFD 15.0.
Using the modern numerical fluid dynamics methods, implemented in a universal software package ANSYS CFX 14.5 and specialized modules WINDLOAD / CFX, with verified three-dimensional numerical simulations average wind loads at the 36 wind directions (via 100) were determinate. 3.
Online since: November 2011
Authors: Ze Cui, Zeng Jun Han, Hong Wei Pan, Yao Hua Wang, Xiao Qing Hua
Simulation and experiment results are also presented to illustrate performance of a specific designed thruster.
We hope to provide useful ideas for propulsion system designed special for M-ROV by some simulation and experiment results.
A further investigation through CFD simulation by COSMOSFloworksTM can be used to compare performance of different lines of contours.
All the initial parameters are shown in Table 2. 2) Detailed design of the propeller based on the results from the preliminary design, using the momentum theory, lifting line / surface theory or the surface element theory, and the general circulation model, the geometric model is determined, such as angle of the screw thread. 3) Final design for the propeller based on the detailed design of the propeller and the theory which is used in step two, the performance of the propeller is verified by CFD.
We hope to provide useful ideas for propulsion system designed special for M-ROV by some simulation and experiment results.
A further investigation through CFD simulation by COSMOSFloworksTM can be used to compare performance of different lines of contours.
All the initial parameters are shown in Table 2. 2) Detailed design of the propeller based on the results from the preliminary design, using the momentum theory, lifting line / surface theory or the surface element theory, and the general circulation model, the geometric model is determined, such as angle of the screw thread. 3) Final design for the propeller based on the detailed design of the propeller and the theory which is used in step two, the performance of the propeller is verified by CFD.
Online since: September 2024
Authors: Vitória Betzel Garozi, Gabrielle Ücker Thum, Liércio André Isoldi, Elizaldo Domingues dos Santos, Flávio Medeiros Seibt, Rafael Pereira Maciel, Bianca Neves Machado
Numerical simulations were carried out using ANSYS Fluent software, which is based on the finite volume method (FVM).
The machine used for the simulations has an Intel Core i7-8700K processor with a frequency of 3.70 GHz and 32 GB of RAM.
So far, the accuracy of the computational model, equations solved in the CFD software, BC, and solution parameters were presented in this chapter.
The characteristics of the regular waves used in this numerical simulation are shown in Table 2.
The ability of the computational model developed in the CFD software ANSYS Fluent to generate and propagate regular waves in numerical channels is evident.
The machine used for the simulations has an Intel Core i7-8700K processor with a frequency of 3.70 GHz and 32 GB of RAM.
So far, the accuracy of the computational model, equations solved in the CFD software, BC, and solution parameters were presented in this chapter.
The characteristics of the regular waves used in this numerical simulation are shown in Table 2.
The ability of the computational model developed in the CFD software ANSYS Fluent to generate and propagate regular waves in numerical channels is evident.
Online since: September 2011
Authors: Ji Man Luo, Cai Xia Chao, Shi Chao Xiu, Shao Yong Pei
Simulation on Characteristics of Grinding Fluid Jet Based on FLUENT
C.X.
Simulation Experiment of Air-Fluid Two-Phase Flow in Grinding Area Simulation Condition.
Plane grinding is taken as the simulation object and FLUENT is taken as the simulation software.
Considering the CFD characteristics of the flow field, in order to improve the grids quality and avoid mesh distortion and aspect ratio inconformity, body-fitted near wall grids are adopted and the grid model divided in sequence of first-line last-face is showed in Fig.1 [2,3].
Simulation Scheme.
Simulation Experiment of Air-Fluid Two-Phase Flow in Grinding Area Simulation Condition.
Plane grinding is taken as the simulation object and FLUENT is taken as the simulation software.
Considering the CFD characteristics of the flow field, in order to improve the grids quality and avoid mesh distortion and aspect ratio inconformity, body-fitted near wall grids are adopted and the grid model divided in sequence of first-line last-face is showed in Fig.1 [2,3].
Simulation Scheme.