Boundary Representation-based Feature Identification

Mark Henderson; Gopal Srinath; Roger Stage; Kim Walker; William Regli

doi:10.1016/B978-0-444-81600-9.50007-9

Boundary Representation-based Feature Identification

Mark Henderson
, Gopal Srinath
, Roger Stage
, Kim Walker
, William Regli

Mechanical and Aerospace Engineering

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

17 Scopus citations

Abstract

This chapter describes the automated recognition of form features from boundary representations of solid models. The methods covered include rule-based, graph-based and neural net based techniques. Each method is briefly described with specific instances of each referenced and pros and cons listed.

Original language	English (US)
Pages (from-to)	15-38
Number of pages	24
Journal	Manufacturing Research and Technology
Volume	20
Issue number	C
DOIs	https://doi.org/10.1016/B978-0-444-81600-9.50007-9
State	Published - 1994

ASJC Scopus subject areas

Industrial and Manufacturing Engineering

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10.1016/B978-0-444-81600-9.50007-9

Cite this

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title = "Boundary Representation-based Feature Identification",

abstract = "This chapter describes the automated recognition of form features from boundary representations of solid models. The methods covered include rule-based, graph-based and neural net based techniques. Each method is briefly described with specific instances of each referenced and pros and cons listed.",

author = "Mark Henderson and Gopal Srinath and Roger Stage and Kim Walker and William Regli",

year = "1994",

doi = "10.1016/B978-0-444-81600-9.50007-9",

language = "English (US)",

volume = "20",

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journal = "Manufacturing Research and Technology",

issn = "1572-4417",

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TY - JOUR

T1 - Boundary Representation-based Feature Identification

AU - Henderson, Mark

AU - Srinath, Gopal

AU - Stage, Roger

AU - Walker, Kim

AU - Regli, William

PY - 1994

Y1 - 1994

N2 - This chapter describes the automated recognition of form features from boundary representations of solid models. The methods covered include rule-based, graph-based and neural net based techniques. Each method is briefly described with specific instances of each referenced and pros and cons listed.

AB - This chapter describes the automated recognition of form features from boundary representations of solid models. The methods covered include rule-based, graph-based and neural net based techniques. Each method is briefly described with specific instances of each referenced and pros and cons listed.

UR - https://www.scopus.com/pages/publications/85013530902

UR - https://www.scopus.com/pages/publications/85013530902#tab=citedBy

U2 - 10.1016/B978-0-444-81600-9.50007-9

DO - 10.1016/B978-0-444-81600-9.50007-9

M3 - Article

AN - SCOPUS:85013530902

SN - 1572-4417

VL - 20

SP - 15

EP - 38

JO - Manufacturing Research and Technology

JF - Manufacturing Research and Technology

IS - C

ER -

Boundary Representation-based Feature Identification

Abstract

ASJC Scopus subject areas

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