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PMID: 19829757 Published · ppublish English Journal Article

Surface Smoothing and Quality Improvement of Quadrilateral/Hexahedral Meshes with Geometric Flow.

Communications in numerical methods in engineering ·Vol. 25 ·No. 1 ·2007-11-20 ·Pages 1-18

Zhang Y, Bajaj C, Xu G

Abstract

This paper describes an approach to smooth the surface and improve the quality of quadrilateral/hexahedral meshes with feature preserved using geometric flow. For quadrilateral surface meshes, the surface diffusion flow is selected to remove noise by relocating vertices in the normal direction, and the aspect ratio is improved with feature preserved by adjusting vertex positions in the tangent direction. For hexahedral meshes, besides the surface vertex movement in the normal and tangent directions, interior vertices are relocated to improve the aspect ratio. Our method has the properties of noise removal, feature preservation and quality improvement of quadrilateral/hexahedral meshes, and it is especially suitable for biomolecular meshes because the surface diffusion flow preserves sphere accurately if the initial surface is close to a sphere. Several demonstration examples are provided from a wide variety of application domains. Some extracted meshes have been extensively used in finite element simulations.

Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Zhang Yongjie
Computational Visualization Center, Institute for Computational Engineering and Sciences, The University of Texas at Austin, USA. [email protected].
Bajaj Chandrajit
Xu Guoliang
References (2)
2 references, click to expand
  1. Adaptive and Quality Quadrilateral/Hexahedral Meshing from Volumetric Data.
    Comput Methods Appl Mech Eng. 2006 Feb 1;195(9):942-960 PMID: 19750180
  2. 3D Finite Element Meshing from Imaging Data.
    Comput Methods Appl Mech Eng. 2005 Nov 15;194(48-49):5083-5106 PMID: 19777144
Article Info
Journal
Communications in numerical methods in engineering
Abbr.
Commun Numer Methods Eng
ISSN
1069-8299
Published
2007-11-20
Pages
1-18
Language
English
Region
England
NLM ID
101512257
PMCID
PMC2761001
Grants
NIGMS NIH HHS · R01 GM073087-02 · United States
NCRR NIH HHS · P41 RR002250-200095 · United States
NIGMS NIH HHS · R01 GM074258-03 · United States
NIGMS NIH HHS · R01 GM073087-01A1 · United States
NCRR NIH HHS · P41 RR008605-158485 · United States
NIGMS NIH HHS · R01 GM074258-01 · United States
NCRR NIH HHS · P41 RR002250 · United States
NCRR NIH HHS · P41 RR008605 · United States
NIGMS NIH HHS · R01 GM074258-02 · United States
NCRR NIH HHS · P41 RR008605-147784 · United States
NCRR NIH HHS · P41 RR002250-226519 · United States
NIBIB NIH HHS · R01 EB004873 · United States
NCRR NIH HHS · P20 RR020647 · United States
NCRR NIH HHS · P41 RR008605-158490 · United States
NIBIB NIH HHS · R01 EB004873-01A2 · United States
NIGMS NIH HHS · R01 GM073087 · United States
NCRR NIH HHS · P41 RR008605-147779 · United States
NIGMS NIH HHS · R01 GM074258 · United States
NCRR NIH HHS · P41 RR002250-217415 · United States
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