Manufacturability evaluation of parts using descriptor-based machining feature recognition
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yeo, Changmo | - |
dc.contributor.author | Cheon, Sanguk | - |
dc.contributor.author | Mun, Duhwan | - |
dc.date.accessioned | 2022-02-14T19:41:10Z | - |
dc.date.available | 2022-02-14T19:41:10Z | - |
dc.date.created | 2022-02-07 | - |
dc.date.issued | 2021-11-02 | - |
dc.identifier.issn | 0951-192X | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/135778 | - |
dc.description.abstract | Manufacturability validation refers to activities to evaluate the manufacturing cost of parts, manufacturing methods, and manufacturing difficulty, and to determine whether parts can be manufactured from three-dimensional (3D) computer-aided design (CAD) models. To automate the manufacturability evaluation process, it is important to first recognize the machining features of an input 3D CAD model. Thereafter, various pieces of information required for manufacturability evaluation are extracted from the recognized features, and whether manufacturing can be realized according to the predefined manufacturability criteria is determined. This study proposes a method to evaluate manufacturability according to 19 criteria, after automatic recognition of the machining features of turning, milling, and drilling from boundary representation (B-rep) 3D CAD models, which are widely used in work sites. In addition, this study implements a prototype system, and discusses the results of an experiment involving recognition of the features of two test cases, and their manufacturability evaluation. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | TAYLOR & FRANCIS LTD | - |
dc.subject | AUTOMATIC RECOGNITION | - |
dc.subject | DESIGN | - |
dc.subject | CAD | - |
dc.subject | DECOMPOSITION | - |
dc.title | Manufacturability evaluation of parts using descriptor-based machining feature recognition | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Mun, Duhwan | - |
dc.identifier.doi | 10.1080/0951192X.2021.1963483 | - |
dc.identifier.scopusid | 2-s2.0-85114019652 | - |
dc.identifier.wosid | 000693303300001 | - |
dc.identifier.bibliographicCitation | INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING, v.34, no.11, pp.1196 - 1222 | - |
dc.relation.isPartOf | INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING | - |
dc.citation.title | INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING | - |
dc.citation.volume | 34 | - |
dc.citation.number | 11 | - |
dc.citation.startPage | 1196 | - |
dc.citation.endPage | 1222 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Operations Research & Management Science | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Interdisciplinary Applications | - |
dc.relation.journalWebOfScienceCategory | Engineering, Manufacturing | - |
dc.relation.journalWebOfScienceCategory | Operations Research & Management Science | - |
dc.subject.keywordPlus | AUTOMATIC RECOGNITION | - |
dc.subject.keywordPlus | CAD | - |
dc.subject.keywordPlus | DECOMPOSITION | - |
dc.subject.keywordPlus | DESIGN | - |
dc.subject.keywordAuthor | B-rep model | - |
dc.subject.keywordAuthor | descriptor-based comparison | - |
dc.subject.keywordAuthor | feature descriptor | - |
dc.subject.keywordAuthor | machining feature | - |
dc.subject.keywordAuthor | manufacturability criteria | - |
dc.subject.keywordAuthor | manufacturability evaluation | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(02841) 서울특별시 성북구 안암로 14502-3290-1114
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.