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  • 标题:Introduciendo la dinámica de fluidos computacional en el análisis de flujos en medio poroso
  • 本地全文:下载
  • 作者:Ramón Salcedo ; Arnau Bayón ; Patricia Chueca
  • 期刊名称:Modelling in Science Education and Learning
  • 印刷版ISSN:1988-3145
  • 出版年度:2017
  • 卷号:10
  • 期号:1
  • 页码:261-276
  • 语种:
  • 出版社:Universitat Politècnica de València
  • 摘要:This paper presents an introduction about how to model a flow through a porous medium with Computational Fluid Dynamics (CFD). To this end, a case study is proposed by simulating an air current produced by the fan of an air assisted sprayer through a porous medium (vegetation). The work is aimed at adjusting the porosity resistance to the air ow using experimental data. The adjustment assesses three scenarios: one, considering only equal inertial losses between different porous bodies, two, considering both inertial losses and viscous losses and, three, considering only different inertial losses between different porous bodies. Finally, velocities obtained in each simulation are compared with experimental data. The proposed methodology highlights the importance of employing suitable parameters when configuring CFD models.
  • 关键词:Air current;vegetation;CFD;RANS;k-epsilon;corriente de aire;vegetación;CFD;RANS;k-epsilon
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