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Enriched Machining Feature Based Reasoning for Generic Machining Process Sequencing
Integrated Manufacturing Technologies Institute, National Research Council of Canada.ORCID iD: 0000-0001-8679-8049
2006 (English)In: International Journal of Production Research, ISSN 0020-7543, E-ISSN 1366-588X, Vol. 44, no 8, 1479-1501 p.Article in journal (Refereed) Published
Abstract [en]

This paper presents an enriched machining feature (EMF)-based reasoning approach to generic machining process sequencing for distributed process planning (DPP). An EMF is represented by combining its machining volume with surface, geometric and volume features, as well as other technological information needed to machine the feature. The information embedded in the EMF is retrieved progressively for machining sequence generation. Following an introduction of EMF and its representation scheme, the problems in determining machine-independent feature groups (set-ups) in DPP and their machining sequences to be followed for a given part are investigated. Based on the EMF concept, five reasoning rules are formulated and the algorithms developed. As the set-ups and sequences are generated based on manufacturing constraints and datum references but separated from specific resources, they are generic and applicable to machine tools with varying configurations and capabilities. This approach is further validated through a case study.

Place, publisher, year, edition, pages
2006. Vol. 44, no 8, 1479-1501 p.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-206456OAI: oai:DiVA.org:kth-206456DiVA: diva2:1092618
Note

QCR 20170508

Available from: 2017-05-03 Created: 2017-05-03 Last updated: 2017-05-08Bibliographically approved

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  • apa
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