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Model based in-process monitoring with optical coherence tomography
KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Computer Systems for Design and Manufacturing.
KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Metrology and Optics.ORCID iD: 0000-0003-0776-3716
KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Computer Systems for Design and Manufacturing.ORCID iD: 0000-0002-8243-9505
KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Metrology and Optics.
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2012 (English)In: Procedia CIRP: 1st CIRP Global Web Conference: Interdisciplinary Research in Production Engineering (CIRPE2012),, Elsevier, 2012, 70-73 p.Conference paper, Published paper (Refereed)
Abstract [en]

The demands on in-process 3D monitoring in ceramic micromanufacturing industry require a high-precision, non-destructive, rapid and automated inspection technique for measuring the thickness of component layer, determining the shape and dimensions of the embedded 3D structures, and detecting the de-bonding, cracks, warping and deformation. One of the promising metrology techniques is optical coherence tomography (OCT). With the dedicated image processing algorithm and the industrial product data exchange standard, the model-based integration of OCT as a new metrology tool is demonstrated. As a generic standard for any product or manufacturing information, ISO 10303 STEP AP242 is employed for the measured data model. Unambiguous data representation is achieved by integrating additional modelling constraints. The proposed framework allows fully using the technical advantages of OCT to in-process 3D monitoring.

Place, publisher, year, edition, pages
Elsevier, 2012. 70-73 p.
Series
Procedia CIRP, ISSN 2212-8271
Keyword [en]
OCT, STEP AP242, in-process monitoring, system integration
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
SRA - Production
Identifiers
URN: urn:nbn:se:kth:diva-98352DOI: 10.1016/j.procir.2012.05.042ISI: 000314660500013Scopus ID: 2-s2.0-84879192557OAI: oai:DiVA.org:kth-98352DiVA: diva2:536883
Conference
The 1st CIRP Global Web Conference: Interdisciplinary Research in Production Engineering, Location: ELECTR NETWORK Date: JUN 12-13, 2012
Projects
Multilayer project (FP7-NMP4-2007- 214122)XPRES (Initiative for excellence in production research)
Funder
XPRES - Initiative for excellence in production research
Note

QC 20130111

Available from: 2012-06-25 Created: 2012-06-25 Last updated: 2014-04-28Bibliographically approved
In thesis
1. Development architecture for industrial data management
Open this publication in new window or tab >>Development architecture for industrial data management
2013 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Standardized information modeling is important for interoperability of CAx systems. Existing information standards such as ISO 10303 STEP have been proposed and developed for decades for this purpose. Comprehensive data structure and various implementation methodologies make such standards strong in support of different industry domains, information types, and technical requirements. However, this fact also leads to increased implementation complexity and workloads for CAx system developers.

This licentiate proposes the development architecture, STEP Toolbox, to help users implement standards with a simplified development process and minimal knowledge requirements on standards. Implementation difficulties for individuals are identified with analysis on implementation of the information standards in three aspects: tasks, users, and technology. Then the toolbox is introduced with an illustration of design of behavior and structure. Case studies are performed to validate the toolbox with prototypes. Internal and external observation has shown the around two-month learning process skipped and a great amount of workload reduction in implementation with the utilization of this architecture.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2013. vii, 68 p.
Series
Trita-IIP, ISSN 1650-1888 ; 13:10
Keyword
Information modeling, ISO 10303 STEP, CAx, API
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
SRA - Production
Identifiers
urn:nbn:se:kth:diva-132244 (URN)978-92-7502-903-1 (ISBN)
Presentation
2013-11-01, Brinellsalen, Brinellvägen 68, KTH, Stockholm, 10:00 (English)
Opponent
Supervisors
Funder
XPRES - Initiative for excellence in production research
Note

QC 20131025

Available from: 2013-10-25 Created: 2013-10-24 Last updated: 2013-10-25Bibliographically approved

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Publisher's full textScopus13. Model based in-process monitoring with optical coherence tomography | CIRPE 2012

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Su, RongHedlind, Mikael

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