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Online since: July 2021
Authors: Jumaa S. Chiad, Abbas H. Jeryo, Wajdi S. Abbod
ANSYS's holistic analysis includes three steps: geometry simulation and the output mesh, then configuration and solution aggregation of the limit conditions [69-74].
Such pressure touch values were employed in three regions with maximal system pressure monitoring for orthosis at the knee-foot level in the simulation software ANSYS 16.1.
The ANSYS program Numerical Simulation: Compared with usable composite content (4 Perlon 2 carbon fiber 4 Perlon), the total safeguard level of optimal content (10 Perlon and 0.75%Wt of MWCNTs) was improved from 2.298 to 4.06. 5.
Al-Waily, Optimization CFD Study of Erosion in 3D Elbow During Transportation of Crude Oil Contaminated with Sand Particles (International Journal of Engineering & Technology) vol 07 no 03 ,2018,pp 1420–1428
Mumtaz Rajab, Investigation Of Partially Pressurized Thick Cylindrical Shells (Modelling, simulation & control B AMSE Press) vol 25 no 03,1989. pp 47–64
Such pressure touch values were employed in three regions with maximal system pressure monitoring for orthosis at the knee-foot level in the simulation software ANSYS 16.1.
The ANSYS program Numerical Simulation: Compared with usable composite content (4 Perlon 2 carbon fiber 4 Perlon), the total safeguard level of optimal content (10 Perlon and 0.75%Wt of MWCNTs) was improved from 2.298 to 4.06. 5.
Al-Waily, Optimization CFD Study of Erosion in 3D Elbow During Transportation of Crude Oil Contaminated with Sand Particles (International Journal of Engineering & Technology) vol 07 no 03 ,2018,pp 1420–1428
Mumtaz Rajab, Investigation Of Partially Pressurized Thick Cylindrical Shells (Modelling, simulation & control B AMSE Press) vol 25 no 03,1989. pp 47–64
Online since: August 2013
Authors: Yu Tuan Chou, Shao Yi Hsia
The commercial software of Solidworks Flow Simulation is applied to conduct a three-dimensional office environment model in this paper.
The numerical simulation according to flow field characteristic analyzes different air controlling in varied closed partition.
Therefore, designers can acquire more adequate information of thermal comfort, wind speed and temperature in preliminary design stage via the efficient simulation process.
Research method Field planning and numerical simulation and evaluation are included in this study.
Roaf: Building Research & Information, Vol.33(4) (2005), p. 338 [9] Solidworks Flow Simulation User Guide, Solidworks Coop. (2012)
The numerical simulation according to flow field characteristic analyzes different air controlling in varied closed partition.
Therefore, designers can acquire more adequate information of thermal comfort, wind speed and temperature in preliminary design stage via the efficient simulation process.
Research method Field planning and numerical simulation and evaluation are included in this study.
Roaf: Building Research & Information, Vol.33(4) (2005), p. 338 [9] Solidworks Flow Simulation User Guide, Solidworks Coop. (2012)
Online since: June 2010
Authors: Cecilia Surace, Manuela Battipede, Keith Worden, W.E. Becker
Furthermore, the
complicated nature of the material properties is an additional source of epistemic uncertainty
indeed, some work has been done to investigate
analysis of a typical heart valve FE model would provide useful insight into the robustness of the
simulation.
The simulation was performed over the initial opening movement of the valve: a total time of 0.1s, starting from the direction.
It was therefore considered enough to pick eight input parameters to examine, that were found to vary substantially from one simulation to the next in a comprehensive literature review on the topic.
As in the case of the heart-valve model, the FE software LS-Dyna was used; the solver being capable of handling highly nonlinear and transient simulations, and the coupling of Lagrangian and Arbitrary-Lagrangian-Eulerian (ALE) meshes required for FSI.
The possibility of structural deformation that would change the boundary conditions of a standard CFD model necessitates this approach.
The simulation was performed over the initial opening movement of the valve: a total time of 0.1s, starting from the direction.
It was therefore considered enough to pick eight input parameters to examine, that were found to vary substantially from one simulation to the next in a comprehensive literature review on the topic.
As in the case of the heart-valve model, the FE software LS-Dyna was used; the solver being capable of handling highly nonlinear and transient simulations, and the coupling of Lagrangian and Arbitrary-Lagrangian-Eulerian (ALE) meshes required for FSI.
The possibility of structural deformation that would change the boundary conditions of a standard CFD model necessitates this approach.
Online since: July 2021
Authors: Ameer A. Kadhim, Rasha Hayder Al-Khayat, Muhannad Al-Waily, Nesreen Dakhel
[58] Mohsin Abdullah Al-Shammari, Lutfi Y Zedan and Akram M Al-Shammari, FE Simulation of Multi-Stage Cold Forging Process For Metal Shell of Spark Plug Manufacturing, 1st International Scientific Conference of Engineering Sciences-3rd Scientific Conference of Engineering Science (2018)
[69] Rasha Hayder Al-Khayat, Maher A R Sadiq Al-Baghdadi, Ragad Aziz Neama and Muhannad Al-Waily, Optimization CFD Study of Erosion in 3D Elbow During Transportation of Crude Oil Contaminated with Sand Particles, International Journal of Engineering & Technology, 7, 3 (2018)
Hamzah, Muhannad Al-Waily, Mohsin Abdullah Al-Shammari, A Finite Element Simulation of Nano Effects on Stress Distribution in a Below Knee Prosthetic, 4th International Conference on Engineering Sciences, IOP Conference Series: Materials Science and Engineering, 1067 (2021)
[69] Rasha Hayder Al-Khayat, Maher A R Sadiq Al-Baghdadi, Ragad Aziz Neama and Muhannad Al-Waily, Optimization CFD Study of Erosion in 3D Elbow During Transportation of Crude Oil Contaminated with Sand Particles, International Journal of Engineering & Technology, 7, 3 (2018)
Hamzah, Muhannad Al-Waily, Mohsin Abdullah Al-Shammari, A Finite Element Simulation of Nano Effects on Stress Distribution in a Below Knee Prosthetic, 4th International Conference on Engineering Sciences, IOP Conference Series: Materials Science and Engineering, 1067 (2021)
Online since: December 2012
Authors: T. Hussain
Finite element simulation software ABAQUS Explicit has been widely used in simulating the particle deformation in cold spraying.
These small spherical particles were thought to be a sign of melting which was also supported by numerical simulations.
Samareh, B., Stier, O., Lüthen, V., and Dolatabadi, A., Assessment of CFD Modeling via Flow Visualization in Cold Spray Process.
-p., Numerical Study on the Effect of Substrate Angle on Particle Impact Velocity and Normal Velocity Component in Cold Gas Dynamic Spraying Based on CFD.
Yokoyama, K., Watanabe, M., Kuroda, S., Gotoh, Y., Schmidt, T., and Gartner, F., Simulation of Solid Particle Impact Behavior for Spray Processes.
These small spherical particles were thought to be a sign of melting which was also supported by numerical simulations.
Samareh, B., Stier, O., Lüthen, V., and Dolatabadi, A., Assessment of CFD Modeling via Flow Visualization in Cold Spray Process.
-p., Numerical Study on the Effect of Substrate Angle on Particle Impact Velocity and Normal Velocity Component in Cold Gas Dynamic Spraying Based on CFD.
Yokoyama, K., Watanabe, M., Kuroda, S., Gotoh, Y., Schmidt, T., and Gartner, F., Simulation of Solid Particle Impact Behavior for Spray Processes.
Online since: April 2014
Authors: S.N. Kazi, A. Badarudin, C.S. Oon, M. Fadhli
SIMULATION OF HEAT TRANSFER TO TURBULENT NANOFLUID FLOW IN AN ANNULAR PASSAGE
C.S.
Nanofluid of TiO2 nanoparticles with 1% concentration is used in the simulation.
Table 1 showed the thermo physical properties of the water and the nanofluid used in the simulation.
Sadeghinezhad, Computational Simulation of Heat Transfer to Separation Fluid Flow in an Annular Passage.
Sadeghinezhad, Numerical simulation of heat transfer to separation air flow in an annular pipe.
Nanofluid of TiO2 nanoparticles with 1% concentration is used in the simulation.
Table 1 showed the thermo physical properties of the water and the nanofluid used in the simulation.
Sadeghinezhad, Computational Simulation of Heat Transfer to Separation Fluid Flow in an Annular Passage.
Sadeghinezhad, Numerical simulation of heat transfer to separation air flow in an annular pipe.
Online since: August 2013
Authors: Stephan Rinderknecht, Bruno Strah
Numerical analysis is widely used in systems modeling, simulation and control design process.
The third stage incorporates a development of a detailed simulation model including the driver, the vehicle as well as the driving environment.
The base parameter variation is accomplished due to “design of experiments” based on simulations of already developed model variety.
Aachen: Shaker Verlag, 2006. [16] Eric Ngondi, Fluid Force Determination in Squeeze Film Dampers using Active Magnetic Bearings and CFD-Methods (in German), Dissertation, TU Darmstadt.
[Online]. http://tuprints.ulb.tu-darmstadt.de/628/ [21] Joachin Schmied and Alexander Kosenkov, "Practical Controller Design for Rotors on Magnetic Bearings by Means of an Efficient Simulation Tool ," in 10.
The third stage incorporates a development of a detailed simulation model including the driver, the vehicle as well as the driving environment.
The base parameter variation is accomplished due to “design of experiments” based on simulations of already developed model variety.
Aachen: Shaker Verlag, 2006. [16] Eric Ngondi, Fluid Force Determination in Squeeze Film Dampers using Active Magnetic Bearings and CFD-Methods (in German), Dissertation, TU Darmstadt.
[Online]. http://tuprints.ulb.tu-darmstadt.de/628/ [21] Joachin Schmied and Alexander Kosenkov, "Practical Controller Design for Rotors on Magnetic Bearings by Means of an Efficient Simulation Tool ," in 10.
Online since: February 2012
Authors: Jian Qing Min, Zi Bin Xu
Simulation Study on Indoor Air Ventilation Efficiency Based on Computational Fluid Dynamics
Min Jianqing1, a, Xu Zibin2, b
1 Zhejiang Shuren University ,Hangzhou, ZheJiang Province, China
2 Zhejiang Shuren University , Hangzhou, ZheJiang Province, China
aminjq@sina.com, bhzxuzibin@gmail.com
Keywords: ventilation efficiency; thermal buoyancy effect; computational fluid dynamics, simulation study
Abstract.
The value of φ, Γφ, and S is seen in Tab. 1 Table1 Diffusion coefficient and source term of the general equation φ Γφ S 1 0 0 ui T ST K ε Where, ; ; Prt=0.85; Cμ=0.09; c1=c3=1.44; c2=1.92; =1.3; =1; ; ; Numerical simulation methods The unstructured grids is adopted, the computational domain includes 165406 cells and 30818 nodes.
Operating condition of simulation and result In the following simulation, we give D = 0.8m, l=0.4m; the simulation results about the temperature efficiency ET are seen in Tab. 2 [6], there are three cases which the Re and Gr are different, and at x = 1.5m the section temperature field of corresponding typical conditions are shown as Fig.2.
Simulation results of temperature field Analysis and discussion 1) Influence on flow patterns with variety of Gr/Re2 Tab. 2 and Fig. 2 show that the flow patterns gradually change with the variety of Gr/Re2 value.
From The simulation results, we know that the curve of temperature efficiency is like “M” with Gr/Re2 increasing.
The value of φ, Γφ, and S is seen in Tab. 1 Table1 Diffusion coefficient and source term of the general equation φ Γφ S 1 0 0 ui T ST K ε Where, ; ; Prt=0.85; Cμ=0.09; c1=c3=1.44; c2=1.92; =1.3; =1; ; ; Numerical simulation methods The unstructured grids is adopted, the computational domain includes 165406 cells and 30818 nodes.
Operating condition of simulation and result In the following simulation, we give D = 0.8m, l=0.4m; the simulation results about the temperature efficiency ET are seen in Tab. 2 [6], there are three cases which the Re and Gr are different, and at x = 1.5m the section temperature field of corresponding typical conditions are shown as Fig.2.
Simulation results of temperature field Analysis and discussion 1) Influence on flow patterns with variety of Gr/Re2 Tab. 2 and Fig. 2 show that the flow patterns gradually change with the variety of Gr/Re2 value.
From The simulation results, we know that the curve of temperature efficiency is like “M” with Gr/Re2 increasing.
Numerical Simulation of Pressure Distribution around the Reticulated Shell Structure with Large Span
Online since: September 2013
Authors: Zi Hou Yuan, Yi Chen Yuan, Wei Sun
Numerical Simulation of Pressure Distribution around the Reticulated Shell Structure with Large Span
Zi-hou Yuan1,2 Yi-chen Yuan 3* Wei Sun 3*
(1.
The numerical simulations of surface pressure are consistent with the experimental results.
With the development of computer technology, the numerical simulation on reticulated dome structure has preliminarily been carried out.
Compared with the wind tunnel test, there are huge cost benefits for the numerical simulation, that the continuous distribution information of physical quantities can be obtained, such as wind and wind load, and visual complex details of the force, resulting in a deeper understanding on the distribution of the wind pressure.
This article main does numerical simulation for round coal field, the typical of shell’top--cylindrical structure.
The numerical simulations of surface pressure are consistent with the experimental results.
With the development of computer technology, the numerical simulation on reticulated dome structure has preliminarily been carried out.
Compared with the wind tunnel test, there are huge cost benefits for the numerical simulation, that the continuous distribution information of physical quantities can be obtained, such as wind and wind load, and visual complex details of the force, resulting in a deeper understanding on the distribution of the wind pressure.
This article main does numerical simulation for round coal field, the typical of shell’top--cylindrical structure.
Online since: December 2012
Edited by: Fang Yin Cheng, Yan Ma
These proceedings of the 2nd International Conference on Computer-Aided Design, Manufacturing, Modeling and Simulation (CDMMS 2012), held during the 21st to 23rd September 2012 in Chongqing, China, present original ideas and exciting new findings in disciplines such as CAD, CAM, Manufacturing, Mechanical Engineering, Modeling and Simulation.