Reference Feature Based Cell Decomposition and Form Feature Recognition

기준 특징형상에 기반한 셀 분해 및 특징형상 인식에 관한 연구

  • 김재현 ((주)DS 임플란트 기술연구소) ;
  • 박정환 (영남대학교 기계공학부)
  • Published : 2007.08.31

Abstract

This research proposed feature extraction algorithms as an input of STEP Ap214 data, and feature parameterization process to simplify further design change and maintenance. The procedure starts with suppression of blend faces of an input solid model to generate its simplified model, where both constant and variable-radius blends are considered. Most existing cell decomposition algorithms utilize concave edges, and they usually require complex procedures and computing time in recomposing the cells. The proposed algorithm using reference features, however, was found to be more efficient through testing with a few sample cases. In addition, the algorithm is able to recognize depression features, which is another strong point compared to the existing cell decomposition approaches. The proposed algorithm was implemented on a commercial CAD system and tested with selected industrial product models, along with parameterization of recognized features for further design change.

Keywords

References

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