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Online since: August 2011
Authors: Jia Xu Wang, Bei Li Yu, Ke Xiao, Qiang Liu
Since finite element contact simulations are nonlinear and can be very time-consuming, a methodology based on what is known as global-local analysis has been adopted to generate the finite element model.
Element solid185 has been used to form the finite element mesh with the use of ANSYS ICEM CFD.
Online since: December 2012
Authors: Yu Long Duan, Qing Shan You, Qing Hua Zhang
CFD simulation of deflagration detonation process using vector and parallel computing systems.
Online since: May 2013
Authors: Yan Feng Feng, Jiu Hong Wei, Hua Wei
A new simulation method was put forward in paper [6], steam mixing process was analyzed through the method better, a new idea was provided for designing ejector.
Use of CFD in the prediction of a jet pump Performance.
Online since: June 2013
Authors: John Andrews, Mohammad Javad Jazaeri
Xu and Zhao conducted a computational simulation of the effect of flow-field design and water flooding in the gas diffusion layer above the ribs [5].
Computational fluid dynamics (CFD) results have found that channel depth is the most influential factor in fuel cell performance [10].
Online since: November 2011
Authors: Song Jing Li, Jacob M. Mchenya, Sheng Zhuo Zhang
Visualizing flow field has a wide variety of applications in scientific simulation as analysis tools for planning, design and control of complex systems.
Westra, RW. et al. [11] analyzed the flow field inside the impeller of a low specific centrifugal pump with PIV measurements and Fluid Dynamics (CFD) methods.
Online since: November 2012
Authors: Chao Zhi, Tadahiko Shinshi, Minoru Uehara
A residual flux density of 1.2T was used for the simulation.
For the micro pump in our study, we plan in the future to investigate the velocity dependency further by measuring the membrane displacement as well as using CFD (Computational fluid dynamics).
Online since: January 2019
Authors: Dong Won Jung, Muhammad Sajjad, Jithin Ambarayil Joy, Vijayakumar Mathaiyan
,“CFD simulation of turbulent flow and heat transfer over rough surfaces”, Energy Procedia, (2015), 74, p. no. 909 – 918
Online since: June 2016
Authors: Valeriu Vilag, Ene Barbu, Victoria Teleaba, Radu Mirea, Mihaela Cretu
Large post combustion plants manufacturers (Eclipse Combustion, John Zink Company, De Jong, Coen, Pillard, etc.) are combining CFD modeling with bench test experiments [2, 3].
[4] Directive 2008/50/EC of the EUROPEAN PARLIAMENT and of the COUNCIL of 21 May 2008 on ambient air quality and cleaner air for Europe [5] Cretu M: Modelling and simulation of the pollutant species transport in open spaces, PhD thesis, chapter, 6, p.135-139, University Politehnica of Bucharest (2012) [6] Information on http://www.eclipsenet.com/products/fluefire/ [Accessed 19.01.2016] [7] Barbu E. et al.: Arzator de postardere multimodular de combustibil gazos, OSIM Patent 126, 229 (2012) [8] Information on https://www.ec.gc.ca/inrp-npri/default.asp?
Online since: August 2025
Authors: Nathi Ram Chauhan, Rishika Bhadani, Stuti Bansal, Suruchi Maurya, Aashika Aashika, Ravinder Kumar
Given the complexity and curvature of the CAD model, tetrahedral meshing was opted to enhance accuracy and reduce computational time [10]. 2.3 Finite Element Analysis After importing the developed CAD file into the Ansys Modeler Workspace in IGES format, the crucial meshing process was undertaken to facilitate precise simulations through finite element analysis (FEA). 2.3.1 Loading conditions In practice, human teeth exhibit a complex and inhomogeneous structure, comprising layers like enamel, dentin, and the dentin-enamel junction.
Strawn, “Tetrahedral and hexahedral mesh adaptation for CFD problems,” Applied Numerical Mathematics, vol. 26, Issues 1–2, pp. 135-151, 1998, doi: 10.1016/S0168-9274(97)00092-5
Online since: July 2007
Authors: Riccardo Bini, Michele Monno
Due to the complexity of experimental determination of the heat fluxes and the cooling rates during and after a welding, the numerical simulation has become an interesting tool for the prediction of the temperature field and the flow conditions in the molten pool.
An exception is represented by the work of Tanaka et al. [6], in which both the arc and the anode domain are included in the simulation.
Figure 1: Standard TIG welding configuration In the Table 1 we summarize the process parameters and the material properties adopted in the present simulation.
Summary In the present study we employ a CFD commercial software for predicting the results of a stationary TIG welding process, in particular we are interested the molten pool shape, which determines the weld bead geometry and performance.
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