The Quick Measure of a Nurbs Surface Curvature for Accurate Triangular Meshing

NURBS surfaces are the most widely used surfaces for three-dimensional models in CAD/ CAE programs. When a model for FEM calculation is prepared with a CAD program it is inevitable to mesh it finally. There are many algorithms for meshing planar regions. Some of them may be used for meshing surfaces...

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Main Author: Kniat Aleksander
Format: Article
Language:English
Published: Sciendo 2014-04-01
Series:Polish Maritime Research
Subjects:
Online Access:http://www.degruyter.com/view/j/pomr.2014.21.issue-2/pomr-2014-0017/pomr-2014-0017.xml?format=INT
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author Kniat Aleksander
author_facet Kniat Aleksander
author_sort Kniat Aleksander
collection DOAJ
description NURBS surfaces are the most widely used surfaces for three-dimensional models in CAD/ CAE programs. When a model for FEM calculation is prepared with a CAD program it is inevitable to mesh it finally. There are many algorithms for meshing planar regions. Some of them may be used for meshing surfaces but it is necessary to take the curvature of the surface under consideration to avoid poor quality mesh. The mesh must be denser in the curved regions of the surface. In this paper, instead of analysing a surface curvature, the method to assess how close is a mesh triangle to the surface to which its vertices belong, is presented. The distance between a mesh triangle and a parallel tangent plane through a point on a surface is the measure of the triangle quality. Finding the surface point whose projection is located inside the mesh triangle and which is the tangency point to the plane parallel to this triangle is an optimization problem. Mathematical description of the problem and the algorithm to find its solution are also presented in the paper.
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spelling doaj.art-63c68248db64401b9a14fda3d7d91b902022-12-22T00:24:55ZengSciendoPolish Maritime Research2083-74292014-04-01212414410.2478/pomr-2014-0017pomr-2014-0017The Quick Measure of a Nurbs Surface Curvature for Accurate Triangular MeshingKniat Aleksander0Gdansk University of Technology, PolandNURBS surfaces are the most widely used surfaces for three-dimensional models in CAD/ CAE programs. When a model for FEM calculation is prepared with a CAD program it is inevitable to mesh it finally. There are many algorithms for meshing planar regions. Some of them may be used for meshing surfaces but it is necessary to take the curvature of the surface under consideration to avoid poor quality mesh. The mesh must be denser in the curved regions of the surface. In this paper, instead of analysing a surface curvature, the method to assess how close is a mesh triangle to the surface to which its vertices belong, is presented. The distance between a mesh triangle and a parallel tangent plane through a point on a surface is the measure of the triangle quality. Finding the surface point whose projection is located inside the mesh triangle and which is the tangency point to the plane parallel to this triangle is an optimization problem. Mathematical description of the problem and the algorithm to find its solution are also presented in the paper.http://www.degruyter.com/view/j/pomr.2014.21.issue-2/pomr-2014-0017/pomr-2014-0017.xml?format=INTtriangulationmeshingcurvatureNURBS surfaceoptimization
spellingShingle Kniat Aleksander
The Quick Measure of a Nurbs Surface Curvature for Accurate Triangular Meshing
Polish Maritime Research
triangulation
meshing
curvature
NURBS surface
optimization
title The Quick Measure of a Nurbs Surface Curvature for Accurate Triangular Meshing
title_full The Quick Measure of a Nurbs Surface Curvature for Accurate Triangular Meshing
title_fullStr The Quick Measure of a Nurbs Surface Curvature for Accurate Triangular Meshing
title_full_unstemmed The Quick Measure of a Nurbs Surface Curvature for Accurate Triangular Meshing
title_short The Quick Measure of a Nurbs Surface Curvature for Accurate Triangular Meshing
title_sort quick measure of a nurbs surface curvature for accurate triangular meshing
topic triangulation
meshing
curvature
NURBS surface
optimization
url http://www.degruyter.com/view/j/pomr.2014.21.issue-2/pomr-2014-0017/pomr-2014-0017.xml?format=INT
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