PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
January 1, 2018EPJ Web of Conferences154 citationsOpen Access

Polyhedral meshing in numerical analysis of conjugate heat transfer

MSMarcin SosnowskiJKJarosław KrzywańskiKGKarolina Grabowska

Key Points

Key points are not available for this paper at this time.

Abstract

Computational methods have been widely applied in conjugate heat transfer analysis. The very first and crucial step in such research is the meshing process which consists in dividing the analysed geometry into numerous small control volumes (cells). In Computational Fluid Dynamics (CFD) applications it is desirable to use the hexahedral cells as the resulting mesh is characterized by low numerical diffusion. Unfortunately generating such mesh can be a very time-consuming task and in case of complicated geometry - it may not be possible to generate cells of good quality. Therefore tetrahedral cells have been implemented into commercial pre-processors. Their advantage is the ease of its generation even in case of very complex geometry. On the other hand tetrahedrons cannot be stretched excessively without decreasing the mesh quality factor, so significantly larger number of cells has to be used in comparison to hexahedral mesh in order to achieve a reasonable accuracy. Moreover the numerical diffusion of tetrahedral elements is significantly higher. Therefore the polyhedral cells are proposed within the paper in order to combine the advantages of hexahedrons (low numerical diffusion resulting in accurate solution) and tetrahedrons (rapid semi-automatic generation) as well as to overcome the disadvantages of both the above mentioned mesh types. The major benefit of polyhedral mesh is that each individual cell has many neighbours, so gradients can be well approximated. Polyhedrons are also less sensitive to stretching than tetrahedrons which results in better mesh quality leading to improved numerical stability of the model. In addition, numerical diffusion is reduced due to mass exchange over numerous faces. This leads to a more accurate solution achieved with a lower cell count. Therefore detailed comparison of numerical modelling results concerning conjugate heat transfer using tetrahedral and polyhedral meshes is presented in the paper.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Sosnowski et al. (2018) studied this question.

synapsesocial.com/papers/69dd66d927c48be1bb40d135https://doi.org/10.1051/epjconf/201818002096
Ask AI
Helpful
Bookmark
Share
View Full Paper

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Polyhedral meshing as an innovative approach to computational domain discretization of a cyclone in a fluidized bed CLC unit2017 · 101 citations
  2. 2Procedure for Estimation and Reporting of Uncertainty Due to Discretization in CFD Applications2008 · 4,195 citations
  3. 3The ADIGMA Project2010 · 13 citations
  4. 4Numerical analysis of heat transfer around 2D circular cylinder in pulsation inflow2015 · 8 citations
  5. 5Numerical simulations of fluidization dynamics in a hot model of a CLC process2017 · 13 citations