Two-Dimensional Selections for Feature-Based Data Exchange | Zendy

Ari Rappoport | Zendy; Steven Spitz | Zendy; Michal Etzion | Zendy

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Two-Dimensional Selections for Feature-Based Data Exchange

Author(s) -

Ari Rappoport,

Steven Spitz,

Michal Etzion

Publication year - 2006

Publication title -

lecture notes in computer science

Language(s) - English

Resource type - Book series

SCImago Journal Rank - 0.249

H-Index - 400

eISSN - 1611-3349

pISSN - 0302-9743

ISBN - 3-540-36711-X

DOI - 10.1007/11802914_23

Subject(s) - computer science , feature (linguistics) , representation (politics) , data exchange , feature selection , theoretical computer science , feature model , parametric statistics , algorithm , artificial intelligence , data mining , programming language , database , mathematics , philosophy , linguistics , statistics , software , politics , political science , law

Proper treatment of selections is essential in parametric feature-based design. Data exchange is one of the most important operators in any design paradigm. In this paper we address two-dimensional selections (faces and surfaces) in feature-based data exchange (FBDE). We define the problem formally and present algorithms to address it, in general and in various cases in which feature rewrites are necessary. The general algorithm operates at a geometric level and does not require solving the persistent naming problem, which is required for selection support inside a single CAD system. All algorithms are applicable to the Universal Product Representation (UPR) FBDE architecture, and the general algorithm is also applicable to the STEP parametrics specification.

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