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Encapsulating Detailed Machining Data in Function Blocks for Adaptive Manufacturing
National Research Council of Canada.
2006 (English)In: Transactions of the North American Manufacturing Research Institution of SME, volume 34, 2006: papers presented at NAMRC 34, May 23-26, 2006, Marquette University, Milwaukee, Wisconsin, 2006, Vol. 34, p. 373-380Conference paper (Refereed)
Abstract [en]

This paper presents a function block enabled approach to process planning, execution control, and machining process monitoring. In addition to complex job shop operations, today's small-to-medium sized companies are challenged by various manufacturing uncertainties, including job delay, urgent job insertion, fixture shortage, missing tool, and even machine break-down. Targeting the dynamic issues, we propose a DPP (distributed process planning) approach to generating machine-neutral function blocks that are adaptive and tolerant to the changes. In this paper, we focus on basic function block design, machining data encapsulation and event-driven NC execution control, supported by a real metal cutting example.

Place, publisher, year, edition, pages
2006. Vol. 34, p. 373-380
Series
Transactions of the North American Manufacturing Research Institute of SME, ISSN 1047-3025 ; 34
National Category
Other Engineering and Technologies
Identifiers
URN: urn:nbn:se:kth:diva-205865Scopus ID: 2-s2.0-33748678577ISBN: 9780872638488 (print)OAI: oai:DiVA.org:kth-205865DiVA, id: diva2:1090588
Conference
34th North American Manufacturing Research Conference, Milwaukee, WI, United States, 23 May 2006 through 26 May 2006
Note

QC 20170904

Available from: 2017-04-24 Created: 2017-04-24 Last updated: 2017-09-04Bibliographically approved

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