File Download
There are no files associated with this item.
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1016/S0010-4485(00)00132-9
- Scopus: eid_2-s2.0-0035501274
- WOS: WOS:000171805400004
- Find via
Supplementary
- Citations:
- Appears in Collections:
Article: Intelligent dimensioning for mechanical parts based on feature extraction
Title | Intelligent dimensioning for mechanical parts based on feature extraction |
---|---|
Authors | |
Keywords | Dimensioning Expert system Feature extraction Intelligent CAD |
Issue Date | 2001 |
Publisher | Elsevier Ltd. The Journal's web site is located at http://www.elsevier.com/locate/cad |
Citation | Computer Aided Design, 2001, v. 33 n. 13, p. 949-965 How to Cite? |
Abstract | This paper presents an intelligent dimensioning approach to generate dimensions for 2D drawing of mechanical parts automatically from their 3D part models based on feature extraction. The key issues include the strategies and methods for identifying dimension redundancy, recognizing dimensioning features, determining dimensioning scheme, assigning necessary dimensions to suitable views, and locating the dimensions in reasonable positions for each view using artificial intelligent technology. Based on the approach, a corresponding software prototype was developed. Finally, it is demonstrated, from an example of dimensioning a box-type part, that its dimensions were generated successfully using this intelligent dimensioning software prototype. © 2001 Elsevier Science Ltd. All rights reserved. |
Persistent Identifier | http://hdl.handle.net/10722/156606 |
ISSN | 2023 Impact Factor: 3.0 2023 SCImago Journal Rankings: 0.791 |
ISI Accession Number ID | |
References |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Chen, KZ | en_HK |
dc.contributor.author | Feng, XA | en_HK |
dc.contributor.author | Lu, QS | en_HK |
dc.date.accessioned | 2012-08-08T08:43:10Z | - |
dc.date.available | 2012-08-08T08:43:10Z | - |
dc.date.issued | 2001 | en_HK |
dc.identifier.citation | Computer Aided Design, 2001, v. 33 n. 13, p. 949-965 | en_HK |
dc.identifier.issn | 0010-4485 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/156606 | - |
dc.description.abstract | This paper presents an intelligent dimensioning approach to generate dimensions for 2D drawing of mechanical parts automatically from their 3D part models based on feature extraction. The key issues include the strategies and methods for identifying dimension redundancy, recognizing dimensioning features, determining dimensioning scheme, assigning necessary dimensions to suitable views, and locating the dimensions in reasonable positions for each view using artificial intelligent technology. Based on the approach, a corresponding software prototype was developed. Finally, it is demonstrated, from an example of dimensioning a box-type part, that its dimensions were generated successfully using this intelligent dimensioning software prototype. © 2001 Elsevier Science Ltd. All rights reserved. | en_HK |
dc.language | eng | en_US |
dc.publisher | Elsevier Ltd. The Journal's web site is located at http://www.elsevier.com/locate/cad | en_HK |
dc.relation.ispartof | Computer Aided Design | en_HK |
dc.subject | Dimensioning | en_HK |
dc.subject | Expert system | en_HK |
dc.subject | Feature extraction | en_HK |
dc.subject | Intelligent CAD | en_HK |
dc.title | Intelligent dimensioning for mechanical parts based on feature extraction | en_HK |
dc.type | Article | en_HK |
dc.identifier.email | Chen, KZ: kzchen188@gmail.com | en_HK |
dc.identifier.authority | Chen, KZ=rp00097 | en_HK |
dc.description.nature | link_to_subscribed_fulltext | en_US |
dc.identifier.doi | 10.1016/S0010-4485(00)00132-9 | en_HK |
dc.identifier.scopus | eid_2-s2.0-0035501274 | en_HK |
dc.identifier.hkuros | 67086 | - |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-0035501274&selection=ref&src=s&origin=recordpage | en_HK |
dc.identifier.volume | 33 | en_HK |
dc.identifier.issue | 13 | en_HK |
dc.identifier.spage | 949 | en_HK |
dc.identifier.epage | 965 | en_HK |
dc.identifier.isi | WOS:000171805400004 | - |
dc.publisher.place | United Kingdom | en_HK |
dc.identifier.scopusauthorid | Chen, KZ=7410237952 | en_HK |
dc.identifier.scopusauthorid | Feng, XA=7403047129 | en_HK |
dc.identifier.scopusauthorid | Lu, QS=37043927200 | en_HK |
dc.identifier.issnl | 0010-4485 | - |