File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Knowledge-based evaluation for the conceptual design development of injection molding parts

TitleKnowledge-based evaluation for the conceptual design development of injection molding parts
Authors
KeywordsConceptual Design
Injection Mold Design
Injection Molding Part Development
Knowledge-Based Systems
Plastic Material Selection
Product Concept Evaluation
Issue Date1996
PublisherElsevier Ltd. The Journal's web site is located at http://www.elsevier.com/locate/engappai
Citation
Engineering Applications Of Artificial Intelligence, 1996, v. 9 n. 4, p. 359-376 How to Cite?
AbstractThe authors are carrying out research studies to explore the applicability of knowledge-based systems (KBS) technology to today's competitive plastic product design and development, with an emphasis on the conceptual design stage. The requirement for the application of KBS technology in improving the efficiency and effectiveness of conceptual plastic injection molding part design are discussed. A framework of a knowledge-based evaluation system for new product concepts is proposed in the paper. A prototype knowledge-based system, called EIMPPLAN-1, which can select the appropriate plastic material and generate the major injection mold design features, is also presented. Copyright © 1996 Elsevier Science Ltd.
Persistent Identifierhttp://hdl.handle.net/10722/177625
ISSN
2021 Impact Factor: 7.802
2020 SCImago Journal Rankings: 1.106
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorChin, KSen_US
dc.contributor.authorWong, TNen_US
dc.date.accessioned2012-12-19T09:38:26Z-
dc.date.available2012-12-19T09:38:26Z-
dc.date.issued1996en_US
dc.identifier.citationEngineering Applications Of Artificial Intelligence, 1996, v. 9 n. 4, p. 359-376en_US
dc.identifier.issn0952-1976en_US
dc.identifier.urihttp://hdl.handle.net/10722/177625-
dc.description.abstractThe authors are carrying out research studies to explore the applicability of knowledge-based systems (KBS) technology to today's competitive plastic product design and development, with an emphasis on the conceptual design stage. The requirement for the application of KBS technology in improving the efficiency and effectiveness of conceptual plastic injection molding part design are discussed. A framework of a knowledge-based evaluation system for new product concepts is proposed in the paper. A prototype knowledge-based system, called EIMPPLAN-1, which can select the appropriate plastic material and generate the major injection mold design features, is also presented. Copyright © 1996 Elsevier Science Ltd.en_US
dc.languageengen_US
dc.publisherElsevier Ltd. The Journal's web site is located at http://www.elsevier.com/locate/engappaien_US
dc.relation.ispartofEngineering Applications of Artificial Intelligenceen_US
dc.subjectConceptual Designen_US
dc.subjectInjection Mold Designen_US
dc.subjectInjection Molding Part Developmenten_US
dc.subjectKnowledge-Based Systemsen_US
dc.subjectPlastic Material Selectionen_US
dc.subjectProduct Concept Evaluationen_US
dc.titleKnowledge-based evaluation for the conceptual design development of injection molding partsen_US
dc.typeArticleen_US
dc.identifier.emailWong, TN: tnwong@hku.hken_US
dc.identifier.authorityWong, TN=rp00192en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1016/0952-1976(96)00028-0en_US
dc.identifier.scopuseid_2-s2.0-0030219239en_US
dc.identifier.hkuros28413-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0030219239&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume9en_US
dc.identifier.issue4en_US
dc.identifier.spage359en_US
dc.identifier.epage376en_US
dc.identifier.isiWOS:A1996VL04300004-
dc.publisher.placeUnited Kingdomen_US
dc.identifier.scopusauthoridChin, KS=7202995439en_US
dc.identifier.scopusauthoridWong, TN=55301015400en_US
dc.identifier.issnl0952-1976-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats