Laminae-based feature recognition

T. Lim; J. Corney; D. E R Clark

doi:10.1109/34.955117

Laminae-based feature recognition

T. Lim
, J. Corney
, D. E R Clark

Research output: Contribution to journal › Article › peer-review

9 Citations (Scopus)

Abstract

Motivated by the needs of mould and die manufacturers, this paper presents a novel approach to recognizing shape features on geometric models composed of both simple and complex ruled surfaces. The algorithm described uses a network of adjacent 2D-laminae (i.e., bounded surfaces) derived from a component's CAD model to both locate and create generic protrusion and depression feature volumes. The approach also enables the automatic generation of alternative feature descriptions and requires no predefined feature libraries.

Original language	English
Pages (from-to)	1043-
Number of pages	6
Journal	IEEE Transactions on Pattern Analysis and Machine Intelligence
Volume	23
Issue number	9
DOIs	https://doi.org/10.1109/34.955117
Publication status	Published - Sept 2001

Keywords

CAD
CAM
Geometric feature recognition

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10.1109/34.955117

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title = "Laminae-based feature recognition",

abstract = "Motivated by the needs of mould and die manufacturers, this paper presents a novel approach to recognizing shape features on geometric models composed of both simple and complex ruled surfaces. The algorithm described uses a network of adjacent 2D-laminae (i.e., bounded surfaces) derived from a component's CAD model to both locate and create generic protrusion and depression feature volumes. The approach also enables the automatic generation of alternative feature descriptions and requires no predefined feature libraries.",

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AU - Clark, D. E R

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AB - Motivated by the needs of mould and die manufacturers, this paper presents a novel approach to recognizing shape features on geometric models composed of both simple and complex ruled surfaces. The algorithm described uses a network of adjacent 2D-laminae (i.e., bounded surfaces) derived from a component's CAD model to both locate and create generic protrusion and depression feature volumes. The approach also enables the automatic generation of alternative feature descriptions and requires no predefined feature libraries.

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KW - CAM

KW - Geometric feature recognition

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DO - 10.1109/34.955117

M3 - Article

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JO - IEEE Transactions on Pattern Analysis and Machine Intelligence

JF - IEEE Transactions on Pattern Analysis and Machine Intelligence

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Laminae-based feature recognition

Abstract

Keywords

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