Part Similarity Assessment Method Based on Hierarchical Feature Decomposition: Part 1 - Using Convex Decomposition and Form Feature Decomposition

계층적 특징형상 정보에 기반한 부품 유사성 평가 방법: Part 1 - 볼록입체 분할방식 및 특징형상 분할방식 이용

  • 김용세 (성균관대학교 기계공학부) ;
  • 강병구 (성균관대학교 기계공학) ;
  • 정용희 (성균관대학교 기계공학부)
  • Published : 2004.03.01

Abstract

Mechanical parts are often grouped into part families based on the similarity of their shapes, to support efficient manufacturing process planning and design modification. The 2-part sequence papers present similarity assessment techniques to support part family classification for machined parts. These exploit the multiple feature decompositions obtained by the feature recognition method using convex decomposition. Convex decomposition provides a hierarchical volumetric representation of a part, organized in an outside-in hierarchy. It provides local accessibility directions, which supports abstract and qualitative similarity assessment. It is converted to a Form Feature Decomposition (FFD), which represents a part using form features intrinsic to the shape of the part. This supports abstract and qualitative similarity assessment using positive feature volumes. FFD is converted to Negative Feature Decomposition (NFD), which represents a part as a base component and negative machining features. This supports a detailed, quantitative similarity assessment technique that measures the similarity between machined parts and associated machining processes implied by two parts' NFDs. Features of the NFD are organized into branch groups to capture the NFD hierarchy and feature interrelations. Branch groups of two parts' NFDs are matched to obtain pairs, and then features within each pair of branch groups are compared, exploiting feature type, size, machining direction, and other information relevant to machining processes. This paper, the first one of the two companion papers, describes the similarity assessment methods using convex decomposition and FFD.

Keywords

References

  1. Computer-Aided Manufacturing (2nd Ed.) Chang,T.C.;Wysk,R.A.;Wang,H.P.
  2. A Classification System to Describe Work-pieces Opitz,H.
  3. Journal of Intelligent Manufacturing v.5 no.4 An Automated Coding and Classification System with Supporting Databases for Effective Design of Manufacturing Systems Agarwal,M.;Kamrani,A.K.;Parsaei,H.R. https://doi.org/10.1007/BF00123696
  4. Ph. D. Thesis, Stanford University Convex Decomposition and Solid Geometric Modeling Kim,Y.S
  5. ASME Journal of Computing and Information Science in Engineering v.1 no.3 Feature Based Shape Similarity Measurement for Retrieval of Mechanical Parts Ramesh,M.;Yip-Hoi, D.;Dutta,D. https://doi.org/10.1115/1.1412456
  6. Proc. 4th ACM Symposium on Solid Modeling and Applications Feature Based Similarity Assessment of Solid Models Elison,A.;Nau,D.;Regli,W.C.
  7. International Conference on Shape Modeling and Applications Machining Feature-Based Comparison of Mechanical Parts Cicirello,V.A.;Regli,W.C.
  8. Computer-Aided Design v.28 no.8 Incremental and Localized Update of Convex Decomposition Used for Form Feature Recognition Pariente,F.;Kim,Y.S. https://doi.org/10.1016/0010-4485(95)00074-7
  9. 한국 CAD/CAM학회 논문집 v.5 no.2 기계부품의 형상검색을 위한 유사성 평가 방법 김철영;김영호;강석호
  10. Computer-Aided Design v.24 no.3 Recognition of Form Features Using Convex Decomposition Kim,Y.S. https://doi.org/10.1016/0010-4485(92)90027-8
  11. Computer-Aided Design v.26 no.6 Geometric Reasoning for Machining Features Using Convex Decomposition Waco,D.;Kim,Y.S. https://doi.org/10.1016/0010-4485(94)90069-8