Please use this identifier to cite or link to this item: https://doi.org/10.1007/s001700200154
DC FieldValue
dc.titleApplication of case-based reasoning in die-casting die design
dc.contributor.authorLee, K.S.
dc.contributor.authorLuo, C.
dc.date.accessioned2014-06-17T06:12:45Z
dc.date.available2014-06-17T06:12:45Z
dc.date.issued2002
dc.identifier.citationLee, K.S., Luo, C. (2002). Application of case-based reasoning in die-casting die design. International Journal of Advanced Manufacturing Technology 20 (4) : 284-295. ScholarBank@NUS Repository. https://doi.org/10.1007/s001700200154
dc.identifier.issn02683768
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/59549
dc.description.abstractThis paper presents a study on die-casting die design based on case-based reasoning (CBR). Being different from a traditional die-casting CAD system, this system stores the knowledge and experience as cases, and modifies a previous case to satisfy a new situation. By saving the new solution in the case library after the latest problem has been solved, the system is able to perform self-learning from the experience accumulated. The work includes: 1. Developing a case-based reasoning environment for die-casting die design, so that the system can self-learn from the previous consultation itself and become more efficient. 2. Developing an effective case representation and adaptation methodology for reusing previous design resources efficiently. This paper focuses mainly on the design of die-casting dies. However, the proposed framework is generally adaptable for other processes (such as fixture design and injection mould design) by customising specific process features and encoding process design rules.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1007/s001700200154
dc.sourceScopus
dc.subjectCase-based reasoning
dc.subjectDie-casting
dc.subjectParametric design
dc.typeArticle
dc.contributor.departmentMECHANICAL ENGINEERING
dc.description.doi10.1007/s001700200154
dc.description.sourcetitleInternational Journal of Advanced Manufacturing Technology
dc.description.volume20
dc.description.issue4
dc.description.page284-295
dc.description.codenIJATE
dc.identifier.isiut000178195100007
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