• DocumentCode
    2622769
  • Title

    An Adaptive Meshless Method for Modeling Large Mechanical Deformation and Contacts

  • Author

    Li, Qiang ; Lee, Kok-Meng

  • Author_Institution
    Woodruff Sch. of Mech. Eng., Georgia Inst. of Technol., Atlanta, GA
  • fYear
    2007
  • fDate
    10-14 April 2007
  • Firstpage
    1207
  • Lastpage
    1212
  • Abstract
    Growing new robotic applications in agriculture, food-processing, assisted surgery and haptics, which requires handling of highly deformable objects, present a number of design challenges; among these are methods to analyze deformable contacts. Recently, meshless methods (MLM), which inherit many advantages of finite element method (FEM) and yet need no explicit mesh structure to discretize geometry, have been proposed as an attractive alternative to FEM for solving engineering problems where automatic re-meshing is needed. This paper offers an adaptive MLM (automatically inserting nodes into large error regions) for solving contact problems. We employ the sliding line algorithm with the penalty method to handle contact constraints; it does not rely on small displacement assumptions and thus, it can solve non-linear contact problems with large deformation. Along with three practical applications, we validate the method against results computed using commercial FEM software and analytical solutions.
  • Keywords
    computational geometry; deformation; finite element analysis; manipulators; mechanical contact; adaptive meshless method; finite element method; geometry discretization; highly deformable object handling; mechanical contacts; mechanical deformation; nonlinear contact problems; penalty method; sliding line algorithm; Agriculture; Application software; Computational geometry; Computational modeling; Deformable models; Haptic interfaces; Robotic assembly; Robotics and automation; Robots; Surgery;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 2007 IEEE International Conference on
  • Conference_Location
    Roma
  • ISSN
    1050-4729
  • Print_ISBN
    1-4244-0601-3
  • Electronic_ISBN
    1050-4729
  • Type

    conf

  • DOI
    10.1109/ROBOT.2007.363149
  • Filename
    4209253