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
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