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Online since: June 2007
Authors: Dong Ying Ju, Xiao Dong Hu
Simulation of Inelastic Deformation and Thermal Mechanical Stresses
in Twin-roll Casting Process of Mg Alloy
Xiao-Dong Hu1, a, Dong-Ying Ju1,b
1
Saitama Institute of Technology, Fusaiji 1690, Fukaya, 369-0293, Saitama, Japan
a
q4501pmu@sit.ac.jp, bdyju@sit.ac.jp
Keywords: Twin-roll casting, Thin strip,Inelastic model, Thermal stresses, Magnesium alloy.
Firstly, the thermal fluid flow of twin-roll casting process was simulated by using a CFD model based on ANSYS FLOTRAN; then the inelastic solid model based on Anand's model was employed to calculate the thermal stress in casting process.
Thermal flow simulation Governing equatuion.
Following assumptions were made for thermal flow simulation: heat transfer coefficient on the strip/roll interface was constant; rollers surface temperature 373K; side dams and nozzle were adiabatic; non-slip conditions were assumed on roll/metal interface.
Based on the assumptions steady-state simulations were performed.
Firstly, the thermal fluid flow of twin-roll casting process was simulated by using a CFD model based on ANSYS FLOTRAN; then the inelastic solid model based on Anand's model was employed to calculate the thermal stress in casting process.
Thermal flow simulation Governing equatuion.
Following assumptions were made for thermal flow simulation: heat transfer coefficient on the strip/roll interface was constant; rollers surface temperature 373K; side dams and nozzle were adiabatic; non-slip conditions were assumed on roll/metal interface.
Based on the assumptions steady-state simulations were performed.
Online since: May 2013
Authors: Ladislav Morovič, Jozef Peterka, Ivan Buranský
Introduction
The techniques of 3D digitization, 3D CAD modelling and simulation of CNC milling described in this article were carried out in Centre of Excellence of 5-Axis Machining of Faculty of Materials Science and Technology, Slovak University of Technology in Trnava, Slovakia.
Second part of machining simulation was carried out in the software DELCAM PowerMILL, into which the simulation result from the software DELCAM FeatureCAM was imported as a semi-finished product for gearing (Fig. 4) and wing manufacturing.
The result of the simulation is shown in Fig. 9.
Fig. 3 Machining operations generated in the software DELCAM FeatureCAM Fig. 4 Semi-finished part with 3D model of PSP clamped in the chucking appliance Fig. 5 Simulation of milling of PSP on CNC machine DMG Ultrasonic 20 Linear Fig. 6 Paths of roughing and the result of simulation Fig. 7 Paths of semi-finishing and the result of simulation Fig. 8 Paths of finishing and the result of simulation Fig. 9 Final shape of the part after CAM simulation Manufacturing of a printer spare part with Rapid Prototyping technology The term of RP mainly means production methods of those objects, which are manufactured in gradual addition of building material layer by layer.
Baškarić: CFD analysis of a concept car in order to improve aerodynamics.
Second part of machining simulation was carried out in the software DELCAM PowerMILL, into which the simulation result from the software DELCAM FeatureCAM was imported as a semi-finished product for gearing (Fig. 4) and wing manufacturing.
The result of the simulation is shown in Fig. 9.
Fig. 3 Machining operations generated in the software DELCAM FeatureCAM Fig. 4 Semi-finished part with 3D model of PSP clamped in the chucking appliance Fig. 5 Simulation of milling of PSP on CNC machine DMG Ultrasonic 20 Linear Fig. 6 Paths of roughing and the result of simulation Fig. 7 Paths of semi-finishing and the result of simulation Fig. 8 Paths of finishing and the result of simulation Fig. 9 Final shape of the part after CAM simulation Manufacturing of a printer spare part with Rapid Prototyping technology The term of RP mainly means production methods of those objects, which are manufactured in gradual addition of building material layer by layer.
Baškarić: CFD analysis of a concept car in order to improve aerodynamics.
Online since: October 2013
Authors: Hai Qing Si, Xiao Jun Wu, Yan Shi, Bing Wang
Introduction
The Lattice Boltzmann method (LBM) is a well-known alternative computational fluid dynamics (CFD) method for modeling fluid flows, due to its intrinsic advantages over conventional Navier-Stokes schemes[1-2].
Kam et al. [8] determined what the commonly used non-reflecting boundary conditions (NRBC) for DNS simulations could be extended to the LBM, they identified a best-performing NRBC for one-step LBM simulation of aeroacoustic problems.
In order to suppress the undesirable disturbances at the far-field boundaries, IABC is used in the simulation.
In the subsequent acoustic simulation, is adopted.
A., and Campbell, D.M., Lattice BGK simulation of sound waves, Europhys.
Kam et al. [8] determined what the commonly used non-reflecting boundary conditions (NRBC) for DNS simulations could be extended to the LBM, they identified a best-performing NRBC for one-step LBM simulation of aeroacoustic problems.
In order to suppress the undesirable disturbances at the far-field boundaries, IABC is used in the simulation.
In the subsequent acoustic simulation, is adopted.
A., and Campbell, D.M., Lattice BGK simulation of sound waves, Europhys.
Online since: October 2014
Authors: Mohd Halim Irwan Ibrahim, Nasuha Sa'ude, Mustaffa Ibrahim
The geometric model of the melts flow channel was built by the simulation, and the FEA boundary conditions were carefully in the simulation.
Two dimension(2D) finite-element analysis of the melts flow behavior will be conducted in Computational Fluid Dynamic (CFD), which are embedded module in the latest release of the ANSYS Workbench.
There are five main properties for every material should get before do the simulation.
Solution step will show if the setup step error or successfully in simulation.
So there are four trials simulations to analyze the result.
Two dimension(2D) finite-element analysis of the melts flow behavior will be conducted in Computational Fluid Dynamic (CFD), which are embedded module in the latest release of the ANSYS Workbench.
There are five main properties for every material should get before do the simulation.
Solution step will show if the setup step error or successfully in simulation.
So there are four trials simulations to analyze the result.
Online since: July 2015
Authors: Dian Rong Gao, Jian Hua Zhao, Song Lin Zhou
When the calculation is completed, the result of flow field and solid is imported into CFD-post module [14-16].
Fig.5 Simulation procedure 1.4 Boundary condition of servo valve simulation Fig.6 is the simulation sketch of armature and valve core.
The CFD Analysis of Main Valve Flow Field and Structural Optimization for Double-nozzle Flapper Servo Valve [J].
Transient Simulations of Valve Motion in Cryogenic Systems[J].
Dynamic simulation of chip generation and formation in metal cutting[J].
Fig.5 Simulation procedure 1.4 Boundary condition of servo valve simulation Fig.6 is the simulation sketch of armature and valve core.
The CFD Analysis of Main Valve Flow Field and Structural Optimization for Double-nozzle Flapper Servo Valve [J].
Transient Simulations of Valve Motion in Cryogenic Systems[J].
Dynamic simulation of chip generation and formation in metal cutting[J].
Online since: September 2014
Authors: Zhi Yong Zhou, Ting Yang
Introduction
At present, a number of beneficial attempts at the research on VIV mechanism have been made by many scholars at home and abroad based on the wind tunnel test or CFD numerical simulation.
It can be seen that both of vertical and torsional VIV disappear due to the shift of inside maintenance rails, in accordance with the results of CFD numerical simulations and static pressure measurements discussed above.
It can be seen that both of vertical and torsional VIV disappear due to the shift of inside maintenance rails, in accordance with the results of CFD numerical simulations and static pressure measurements discussed above.
Online since: October 2015
Authors: Rudolf Huebner, Lúcio Barreto Pereira, Rafael Nacife Carneiro
Simulation
Model Data.
The first part of the simulation consisted of manually setting these parameters.
This is advantageous because the time of simulation is proportional to the Young’s modulus.
However, the tangential friction coefficient does not influence the process, and to optimize the simulation, a value should be chosen to minimize the simulation time.
[5] Fries, L., Antonyuk, S., Heinrich, S., Dopfer, D. and Palzer, S., Collision dynamics in fluidized bed granulators A DEM-CFD study, Chemical Engineering Science, 86, p. 108, (2013)
The first part of the simulation consisted of manually setting these parameters.
This is advantageous because the time of simulation is proportional to the Young’s modulus.
However, the tangential friction coefficient does not influence the process, and to optimize the simulation, a value should be chosen to minimize the simulation time.
[5] Fries, L., Antonyuk, S., Heinrich, S., Dopfer, D. and Palzer, S., Collision dynamics in fluidized bed granulators A DEM-CFD study, Chemical Engineering Science, 86, p. 108, (2013)
Online since: October 2011
Authors: K.C. Tseng, Y.Y. Lian, Y.S. Chen, T.C. Kuo, B.R. Gu, J.S. Wu
Simulations of the FORMOSAT-5 Cold Gas Propulsion System by Using the Hybrid Continuum-Particle Method
K.
Another approach for solving the flow fields with near-continuum to rarefied gas is to develop a numerical model combining the CFD method for the continuum regime with the DSMC method for the rarefied and thermal nonequilibrium regime.
Therefore, simulations with different pressures are necessary for future operations.
Hybrid solver distribution of the cold gas propulsion simulation.
Bird, “Molecular gas dynamics and the direct simulation of gas flows,” Oxford Univ.
Another approach for solving the flow fields with near-continuum to rarefied gas is to develop a numerical model combining the CFD method for the continuum regime with the DSMC method for the rarefied and thermal nonequilibrium regime.
Therefore, simulations with different pressures are necessary for future operations.
Hybrid solver distribution of the cold gas propulsion simulation.
Bird, “Molecular gas dynamics and the direct simulation of gas flows,” Oxford Univ.
Online since: November 2014
Authors: Nor Azwadi Che Sidik, Elsa Syuhada Abdull Yamin
In this study, the fluid flow through the cancellous structure is studied by CFD.
The basic arrangement of the cancellous bone in the simulation was based on the experimental setup that studies the fluid flow in the cancellous bone.
For each simulation, the velocity and pressure values along the centerline of the cylinder were taken.
Flow structure simulation All the models were meshed in Gambit.
The simulation was performed under static pressure with constant volumetric flow rate of 100ml/h.
The basic arrangement of the cancellous bone in the simulation was based on the experimental setup that studies the fluid flow in the cancellous bone.
For each simulation, the velocity and pressure values along the centerline of the cylinder were taken.
Flow structure simulation All the models were meshed in Gambit.
The simulation was performed under static pressure with constant volumetric flow rate of 100ml/h.
Online since: January 2013
Authors: Zdenek Kolka, Dalibor Biolek, Martin Poledno, Viera Biolkova
Therefore it is advantageous to use simulation and emulation during the development and tuning of control algorithms and hardware.
Moreover, the use of simulation decreases significantly the cost and time of developing the control equipment [2].
Section 2 of the paper deals with the model and Section 3 presents simulation results for some selected transients.
The compressor maps together with the turbine maps can be obtained by measurement or CFD simulation for a particular microturbine design.
Lippe, GETRAN: A Generic Modularly Structured Computer Code for Simulation of Dynamic Behaviour of Aero- and Power Generation Gas Turbine Engines, Trans.
Moreover, the use of simulation decreases significantly the cost and time of developing the control equipment [2].
Section 2 of the paper deals with the model and Section 3 presents simulation results for some selected transients.
The compressor maps together with the turbine maps can be obtained by measurement or CFD simulation for a particular microturbine design.
Lippe, GETRAN: A Generic Modularly Structured Computer Code for Simulation of Dynamic Behaviour of Aero- and Power Generation Gas Turbine Engines, Trans.