A Comparison of Mesh Morphing Methods for 3D Shape Optimization

نویسندگان

  • Matthew L. Staten
  • Steven J. Owen
  • Suzanne M. Shontz
  • Andrew G. Salinger
  • Todd S. Coffey
چکیده

The ability to automatically morph an existing mesh to conform to geometry modifications is a necessary capability to enable rapid prototyping of design variations. This paper compares six methods for morphing hexahedral and tetrahedral meshes, including the previously published FEMWARP and LBWARP methods as well as four new methods. Element quality and performance results show that different methods are superior on different models. We recommend that designers of applications that use mesh morphing consider both the FEMWARP and a linear simplex based method.

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تاریخ انتشار 2011