A hole-filling algorithm using non-uniform rational B-splines

被引:12
|
作者
Kumar, Amitesh [1 ]
Shih, Alan [1 ]
Ito, Yasushi [1 ]
Ross, Douglas [1 ]
Soni, Bharat [1 ]
机构
[1] Univ Alabama Birmingham, Dept Mech Engn, Birmingham, AL 35294 USA
关键词
hole filling; NURBS; geometry repair; watertight; mesh generation; CFD; CSM; Delaunay triangulation; edge swapping;
D O I
10.1007/978-3-540-75103-8_10
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
A three-dimensional (3D) geometric model obtained from a 3D device or other approaches is not necessarily watertight due to the presence of geometric deficiencies. These inadequacies must be repaired to create a valid surface mesh on the model as a pre-process of computational engineering analyses. This procedure has been a tedious and labor-intensive step, as there are many kinds of deficiencies that can make the geometry to be non-watertight, such as gaps and holes. It is still challenging to repair discrete surface models based on available geometric information. The focus of this paper is to develop a new automated method for patching holes on the surface models in order to achieve watertightness. It describes a numerical algorithm utilizing Non-Uniform Rational B-Splines (NURBS) surfaces to generate smooth triangulated surface patches for topologically simple holes on discrete surface models. The Delaunay criterion for point insertion and edge swapping is used in this algorithm to improve the outcome. Surface patches are generated based on existing points surrounding the holes without altering them. The watertight geometry produced can be used in a wide range of engineering applications in the field of computational engineering simulation studies.
引用
收藏
页码:169 / +
页数:3
相关论文
共 50 条
  • [1] Gear mesh excitation and non-uniform Rational B-Splines
    Beinstingel, A.
    Heider, M.
    Pinnekamp, B.
    Marburg, S.
    [J]. FORSCHUNG IM INGENIEURWESEN-ENGINEERING RESEARCH, 2022, 86 (03): : 331 - 336
  • [2] On non-uniform rational B-splines surface neural networks
    Cheng, Ming-Yang
    Wu, Hung-Wen
    Su, Alvin Wen-Yu
    [J]. NEURAL PROCESSING LETTERS, 2008, 28 (01) : 1 - 15
  • [3] On Non-Uniform Rational B-Splines Surface Neural Networks
    Ming-Yang Cheng
    Hung-Wen Wu
    Alvin Wen-Yu Su
    [J]. Neural Processing Letters, 2008, 28 : 1 - 15
  • [4] AN EFFICIENT SCHEME FOR DESCRIBING AIRFOILS USING NON-UNIFORM RATIONAL B-SPLINES
    Wessels, Francois J. L.
    Venter, G.
    Von Backstroem, T. W.
    [J]. PROCEEDINGS OF THE ASME TURBO EXPO 2012, VOL 6, 2012, : 969 - 977
  • [5] A Geometric Interpolation Algorithm by Non-uniform Cubic B-splines
    Li, Chunjing
    Wang, Anning
    Li, Kai
    Liu, Jinwu
    [J]. 2014 5TH INTERNATIONAL CONFERENCE ON DIGITAL HOME (ICDH), 2014, : 132 - 134
  • [6] A surrogate model based on Non-Uniform Rational B-Splines hypersurfaces
    Audoux, Y.
    Montemurro, M.
    Pailhes, J.
    [J]. 28TH CIRP DESIGN CONFERENCE 2018, 2018, 70 : 463 - 468
  • [7] Design of spatial cam based on non-uniform rational B-splines
    Sun, Shufeng
    Zhou, Yiqi
    [J]. Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, 2009, 45 (08): : 125 - 129
  • [8] Modeling of aerofoil surfaces with rational B-splines using open uniform and non-uniform knot vectors
    Vijayanand, M
    Rao, CSP
    Satyanarayana, A
    Murty, RL
    Swamy, N
    [J]. CAD/CAM ROBOTICS AND FACTORIES OF THE FUTURE, 1996, : 1096 - 1101
  • [9] Linkage and Cam Design with MechDev Based on Non-Uniform Rational B-Splines
    Mueller, Mario
    Huesing, Mathias
    Beckermann, Agnes
    Corves, Burkhard
    [J]. MACHINES, 2020, 8 (01)
  • [10] A computational model of rat cerebral blood flow using Non-Uniform Rational B-Splines
    Pushkin, Sergey V.
    Podoprigora, Guennady I.
    Comas, Laurent
    Boulahdour, Hatem
    Cardot, Jean-Claude
    Baud, Michel
    Nartsissov, Yaroslav R.
    Blagosklonov, Oleg
    [J]. 2007 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-16, 2007, : 1098 - 1100