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Volumn 35, Issue 11, 2003, Pages 969-977

Fast cell-based decomposition and applications to solid modeling

Author keywords

Destructive modeling; Feature recognition; Local modification; Volume decomposition

Indexed keywords

COMPUTATIONAL METHODS; FEATURE EXTRACTION; PROBLEM SOLVING;

EID: 0037775801     PISSN: 00104485     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0010-4485(02)00144-6     Document Type: Article
Times cited : (59)

References (7)
  • 1
    • 85008919490 scopus 로고
    • Determination of machining volumes from extensible sets of design features
    • J. Shah, M. Mantyla, & D. Nau. Amsterdam: Elsevier
    • Shah J., Shen Y., Shirur A. Determination of machining volumes from extensible sets of design features. Shah J., Mantyla M., Nau D. Adavances in feature based manufacturing. 1994;129-157 Elsevier, Amsterdam.
    • (1994) Adavances in Feature Based Manufacturing , pp. 129-157
    • Shah, J.1    Shen, Y.2    Shirur, A.3
  • 2
    • 0027341864 scopus 로고
    • Seperation for boundary to CSG conversion
    • Shapiro V., Vossler D.L. Seperation for boundary to CSG conversion. ACM Trans Graph. 12:(1):1993;35-55.
    • (1993) ACM Trans Graph , vol.12 , Issue.1 , pp. 35-55
    • Shapiro, V.1    Vossler, D.L.2
  • 3
    • 0042323779 scopus 로고    scopus 로고
    • Volume decomposition and feature recognition, Part II: Curved objects
    • Sakurai H., Dave P. Volume decomposition and feature recognition, Part II: curved objects. Comput Aid Des. 28:(6/7):1996;519-537.
    • (1996) Comput Aid Des , vol.28 , Issue.6-7 , pp. 519-537
    • Sakurai, H.1    Dave, P.2
  • 4
    • 0036497388 scopus 로고    scopus 로고
    • Recognition of maximal features by volume decomposition
    • Woo Y., Sakurai H. Recognition of maximal features by volume decomposition. Comput Aid Des. 34:2002;195-207.
    • (2002) Comput Aid Des , vol.34 , pp. 195-207
    • Woo, Y.1    Sakurai, H.2
  • 6
    • 0037556180 scopus 로고    scopus 로고
    • National Design Repository, http://repos.mcs.drexel.edu.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.