Special panel session for feature recognition

Jung Hyun Han; William C. Regli1; David Rosen

doi:10.1115/DETC97/CIE-4423

Special panel session for feature recognition

Jung Hyun Han, William C. Regli1, David Rosen

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

7 Citations (Scopus)

Abstract

Feature recognition is a discipline focusing on the designand implementation of algorithms for detecting manufacturinginformation such as holes, slots, etc. in a solid model. Automatedfeature recognition has been an active research area insolid modeling for many years, and is considered to be a criticalcomponent for CAD/CAM integration. This paper gives foundationsfor understanding the state of the art in feature recognitionresearch. It also establishes the context for a special panel sessionat the 17th ASME International Computers in Engineering Conference.Four papers from different research groups participatedin a benchmarking exercise on feature recognition; each wrotea paper on the results of executing their feature recognition systemson a collected set of parts. This panel session should serveas a catalyst for the feature recognition community to collaboratein establishing standard test parts and performance measures and in identifying and resolving research issues.

Original language	English
Title of host publication	17th Computers in Engineering Conference
Publisher	American Society of Mechanical Engineers (ASME)
ISBN (Electronic)	9780791880470
DOIs	https://doi.org/10.1115/DETC97/CIE-4423
Publication status	Published - 1997
Externally published	Yes
Event	ASME 1997 Design Engineering Technical Conferences, DETC 1997 - Sacramento, United States Duration: 1997 Sept 14 → 1997 Sept 17

Publication series

Name	Proceedings of the ASME Design Engineering Technical Conference
Volume	5

Conference

Conference	ASME 1997 Design Engineering Technical Conferences, DETC 1997
Country/Territory	United States
City	Sacramento
Period	97/9/14 → 97/9/17

Bibliographical note

Publisher Copyright:
© 1997 by ASME.

ASJC Scopus subject areas

Mechanical Engineering
Computer Graphics and Computer-Aided Design
Computer Science Applications
Modelling and Simulation

Access to Document

10.1115/DETC97/CIE-4423

Cite this

Special panel session for feature recognition. / Han, Jung Hyun; Regli1, William C.; Rosen, David.
17th Computers in Engineering Conference. American Society of Mechanical Engineers (ASME), 1997. V005T32A016 (Proceedings of the ASME Design Engineering Technical Conference; Vol. 5).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Han, JH, Regli1, WC & Rosen, D 1997, Special panel session for feature recognition. in 17th Computers in Engineering Conference., V005T32A016, Proceedings of the ASME Design Engineering Technical Conference, vol. 5, American Society of Mechanical Engineers (ASME), ASME 1997 Design Engineering Technical Conferences, DETC 1997, Sacramento, United States, 97/9/14. https://doi.org/10.1115/DETC97/CIE-4423

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author = "Han, {Jung Hyun} and Regli1, {William C.} and David Rosen",

note = "Publisher Copyright: {\textcopyright} 1997 by ASME.; ASME 1997 Design Engineering Technical Conferences, DETC 1997 ; Conference date: 14-09-1997 Through 17-09-1997",

year = "1997",

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AB - Feature recognition is a discipline focusing on the designand implementation of algorithms for detecting manufacturinginformation such as holes, slots, etc. in a solid model. Automatedfeature recognition has been an active research area insolid modeling for many years, and is considered to be a criticalcomponent for CAD/CAM integration. This paper gives foundationsfor understanding the state of the art in feature recognitionresearch. It also establishes the context for a special panel sessionat the 17th ASME International Computers in Engineering Conference.Four papers from different research groups participatedin a benchmarking exercise on feature recognition; each wrotea paper on the results of executing their feature recognition systemson a collected set of parts. This panel session should serveas a catalyst for the feature recognition community to collaboratein establishing standard test parts and performance measures and in identifying and resolving research issues.

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Special panel session for feature recognition

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus subject areas

Access to Document

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Cite this