An approach to identify design and manufacturing features from a data exchanged part model

Mingwang Fu, S. K. Ong, Wen Feng Lu, I. B.H. Lee, A. Y.C. Nee

Research output: Journal article publicationJournal articleAcademic researchpeer-review

78 Citations (Scopus)

Abstract

Due to the large variety of CAD systems in the market, data exchange between different CAD systems is indispensable. Currently, data exchange standards such as STEP and IGES, etc. provide a unique approach for interfacing among different CAD platforms. Once the feature-based CAD model created in one CAD system is input into another via data exchange standards, many of the original features and the feature-related information may not exist any longer. The identification of the design features and their further decomposition into machining features for the downstream activities from a data exchanged part model is a bottleneck in integrated product and process design and development. In this paper, the feature panorama is succinctly articulated from the viewpoint of product design and manufacturing. To facilitate feature identification and extraction, a multiple-level feature taxonomy and hierarchy is proposed based on the characteristics of part geometry and topology entities. The relationships between the features and their geometric entities are established. A litany of algorithms for the identification of design and machining features are proposed. Besides, how to recognize the intersecting features or compound features based on the featureless chunks of geometry entities is critical and the issue is addressed in the paper. A multi-level compound feature representation and recognition approach are presented. Finally, case studies are used to illustrate the validity of the approach and algorithms proposed for the identification of the features from CAD part models in neutral format.
Original languageEnglish
Pages (from-to)979-993
Number of pages15
JournalCAD Computer Aided Design
Volume35
Issue number11
DOIs
Publication statusPublished - 1 Sep 2003
Externally publishedYes

Keywords

  • Feature identification
  • Feature taxonomy
  • Geometry entity

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design
  • Industrial and Manufacturing Engineering

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