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

Access to Document

10.1109/34.955117

Cite this

@article{4cbe1613743b412fb3679b7135b2e126,

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.",

keywords = "CAD, CAM, Geometric feature recognition",

author = "T. Lim and J. Corney and Clark, {D. E R}",

year = "2001",

month = sep,

doi = "10.1109/34.955117",

language = "English",

volume = "23",

pages = "1043--",

journal = "IEEE Transactions on Pattern Analysis and Machine Intelligence",

issn = "0162-8828",

publisher = "IEEE",

number = "9",

}

TY - JOUR

T1 - Laminae-based feature recognition

AU - Lim, T.

AU - Corney, J.

AU - Clark, D. E R

PY - 2001/9

Y1 - 2001/9

N2 - 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.

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.

KW - CAD

KW - CAM

KW - Geometric feature recognition

UR - http://www.scopus.com/inward/record.url?scp=0035440575&partnerID=8YFLogxK

U2 - 10.1109/34.955117

DO - 10.1109/34.955117

M3 - Article

SN - 0162-8828

VL - 23

SP - 1043-

JO - IEEE Transactions on Pattern Analysis and Machine Intelligence

JF - IEEE Transactions on Pattern Analysis and Machine Intelligence

IS - 9

ER -

Laminae-based feature recognition

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this