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Online since: January 2011
Authors: Dan Qing Yuan, You Quan He, Jian Ping Li, He Zhang, Rui Wang
The fact that the test results shows that simulation of the vibration of the pump based on ANSYS can effectively predict the performance of the vibration pump.
The comparison of simulation value and experimental data indicates that this method is feasible and accurate.
High-pressure liquid in chamber Ⅰ ensures the vibration pump have a high head. 1 down cylinder 2 stator 3 rotor 4 skeleton board 5 elasticity board module 6 absorbent valve 7 retaining valve Fig.1 Structure diagram of vibration pump Fig.2 Physical picture of vibration pump Simulation ANSYS software is one kind of the FEM analysis software, and it is very practical, powerful, widespread and broad generalization.
The PIV and CFD technique will be adopted to investigate the turbulent flow fields inside the pump.
Online since: September 2016
Authors: Jin Zhu Tan, Xiang Shen, Yun Li
And then, the numerical simulation was conducted on the basis of the commercial ANSYS code.
Physical properties and parameters used in the simulation are shown in Table 2.
The simulation results are in good agreement with the experimental value.
A three-dimensional full-cell CFD model used to investigate the effects of different flow channel designs on PEMFC performance.
A simulation tool for geometrical analysis and optimization of fuel cell bipolar plates: development, validation and results.
Online since: March 2014
Authors: Yong Liu, Jia Li, Yu Tian, Jian Liu, Jie Fan
The numerical calculation results were obtained by a computational fluid dynamics (CFD) method.
The simulation of such problems has its own set of difficulties associated with the coupling between the involved equations.
Figure 7 shows the numerical simulation diagram of the transient process at different time in a formation period of crater-like Taylor cone.
-H. (2007), "Bubble Electrospinning for Mass Production of Nanofibers", International Journal Of Nonlinear Sciences and Numerical Simulation, Vol. 8, No. 3, pp. 393-396
[18] Paik, K.J., (2010), "Simulation of Fluid–Structure Interaction for Surface Ships with Linear/Nonlinear Deformations", PhD Thesis, The University of Iowa
Online since: May 2014
Authors: Ai Tsung Li, Ray Quen Hsu
The ANSYS Fluent software is used in a 2D simulation to predict the heat transfer coefficient and the flow fields.
First, the CFD software tool ANSYS Fluent was used to simulate each parameter and based on the simulation results several improved parameters were selected to make a mockup sample.
Based on the results of the simulation, the four types of designs that were used for the divergent structure are displayed in Figure 8.
Online since: September 2014
Authors: Shi Min Zhang, Yi Ding, Feng Niu, Jin Jun Zhang
Simulation of hydraulic characteristic of injecting cable into coiled tubing Ding Yi1,aNiu Feng1,b Zhang Shimin1,cZhang Jinjun1,d 1.
College of Mechanical and Transportation Engineering, China University of Petroleum, Beijing Campus,18 Fuxue Road, Changping, Beijing China 102249 a2013214568@student.cup.edu.cn,b2012214009@student.cup.edu.cn,czsm7481976@163.com Keywords:cable injection, coiled tubing, downhole monitoring, hydraulic simulation Abstract.In order to control and monitor downhole equipment, it is needed to inject cable into coiled tubing.
See Fig.14, use CFD module of Workbench to after treat model of inward diverging at entrance part and model Fig. 13.
During the stage of fluid state simulation the cable is suppressed and hidden initially to calculate fluid’s pressure distribution in coiled tubing only.
From inward diverging 20mm to outward diverging 20mm, deformation ascends initially and reaches its first peak value at point of entrance inward diverging 14mm, then descends and reaches its partial minimum at point of entrance inward diverging 10mm, then ascends again and reaches its maximum of whole simulation range at point of entrance outward diverging 5mm, and keeps descending subsequently until point of entrance outward diverging 20mm and reaches its minimum of whole simulation range.
Online since: January 2014
Authors: Antônio Gilson Barbosa de Lima, Severino Rodrigues de Farias Neto, Daniela Passos Simões de Almeida Tavares, Morgana A. Vasconcellos
Evaluation of Multiphase Flow in the Presence of Leak in Oil Pipelines: Modeling and Simulation Daniela P.
The physico-chemical properties of the fluids at 293 K used in the simulations are shown in Table 2.
Simulations were done in two stages.
The maximum simulation time was 1 second with time step of 0.001 s.
It is understood that the pre-leak corresponds to the initial condition used in the simulation.
Online since: July 2014
Authors: K. Hemanth, A. Ganesha, Hemantha Kumar, K.V. Gangadharan
This paper presents magnetic saturation analysis of non-parametric model of magnetorheological (MR) damper using ANSYS for improvement of the higher force with optimal current and MATLAB/Simulink simulation for quarter car model equipped with MR damper to conduct dynamic studies of the system using skyhook controller and comparative study for passive and semi-active system.
Parlak et al. (2012) studied the design optimization of magneto-rheological damper in order to get best result under given circumstances for magnetic flux density by using FEM, electromagnetic analysis of magnetic field and Computational Fluid Dynamics (CFD) analysis.
Fig.5 presents simulation results of damping force against velocity.
Simulation result shows that the quarter car model with semi-active suspension provides better performance over passive suspension system.
Online since: December 2013
Authors: Celal Nazli, Azize Akcayoglu, Halil Cebeci
Simulations are carried out by using a finite volume code, ANSYS FLUENT 14.5.
In all simulations, the flow Reynolds number based on the hydraulic diameter of the duct is set to 5000.
The simulation results contain different element sizes (number of tetrahedral cells used in the domain) between 2 million and 9 million.
Therefore, the rest of the simulations are performed using the mesh containing 7 million element size.
The model coefficients C1, C2, Cm, sk, se are kept as the same in all simulations.
Online since: September 2013
Authors: Ruey Yi Lee, Fu Yuan Hsu, Chien Kuo Liu, Chun Yu Chiu, Huey Jiuan Lin
Simulation of Glass Molding Process for Planar Type SOFC Sealing Devices 1 Huey-Jiuan Lin, 1Fu-Yuan Hsu, 1Chun-Yu Chiu, 2Chien-Kuo Liu, 2Ruey-Yi Lee 1Department of Materials Science and Engineering , National United University, No.1 Lein-Da, Kung-Ching Li, MiaoLi, 36003 Taiwan, R.O.C. 2Nuclear Fuels and Materials Division, Institute of Nuclear Energy Research, No. 1000, Wenhua Rd., Jiaan Village, Longtan Township,Taoyuan County 32546, Taiwan R.O.C.
Computational method In this study, a commercial computational fluid dynamic (CFD) package, Flow3D™ [6], was utilized to model the flow behavior of a glass sealant.
For simplifying the simulation model, one fourth of complete squared mold geometry is meshed by structured cubic grids.
Online since: November 2013
Authors: Cheng Lu, Hai Liang Yu, Jin Tao Li, Guang Ming Xu, Li Hong Su, Guan Yu Deng, Li Zi He, Hui Jun Li
Zeng et al. [7] developed a CFD model for the numerical simulation of Mg twin-roll strip casting process.
The aim of numerical simulation is to find the range or the optimal value of each parameter.
Simulation model.
Conclusions (1) The optimal process parameters were obtained through numerical simulation.
(3) The fact experiment was carried out successfully using process parameters obtained by simulation indicates numerical simulation is helpful for optimizing the process parameters of twin-roll strip casting of magnesium alloys.
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