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Kinematic error modelling based on STEP AP242
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, Computer Systems for Design and Manufacturing.ORCID iD: 0000-0002-8243-9505
KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Computer Systems for Design and Manufacturing.
2012 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Kinematic error is one of the major sources affecting geometric accuracy of machine tools motion. Component error and location error are common concepts to characterise kinematic error for both linear and rotation axes. With the second edition of STEP p105 currently under development, kinematic error can be associated directly to corresponding kinematic pairs. Based on the conceptual ontology model, a practical approach is introduced for standardized kinematic error modelling and implementation. Through integration with geometry, assembly, kinematics and classification, a developed application demonstrates and evaluates data representation and exchange for kinematic error. As STEP AP242 is a generic model for any product or manufacturing resource, additional modeling constraints are applied to achieve unambiguous data representation.

Place, publisher, year, edition, pages
École Polytechnique, Montréal, Canada, 2012.
Keyword [en]
kinematic error, modelling, data exchange, standardisation
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
SRA - Production
Identifiers
URN: urn:nbn:se:kth:diva-98351OAI: oai:DiVA.org:kth-98351DiVA: diva2:536875
Conference
VMPT 2012 - 1st International Conference on Virtual Machining Process Technology
Projects
Feature Based Operation Planning, Vinnova FFI Program (Strategic Vehicle Research and Innovation Initiative)
Funder
XPRES - Initiative for excellence in production research
Note

QC 20130111

Available from: 2012-06-25 Created: 2012-06-25 Last updated: 2017-05-17Bibliographically 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
2. Architecting model driven system integration in production engineering
Open this publication in new window or tab >>Architecting model driven system integration in production engineering
2017 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

System integration is a key enabler to maximize information value in an engineering context. The valuable information is normally represented by information models which play a decisive role in the implementation of system integration. The information models are designed to efficiently and effectively capture, process and communicate information among different functional and business units. However, use of the information models in implementing system integration is challenged by insufficient support from current settings of modeling architectures. This situation calls for new strategies to ease the use of information models.

To address this challenge, this study presents a new twofold solution: Model driven system integration. It includes 1) a modeling architecture to guide the development of information models and 2) an integrated implementation process to guide the use of information models. Thus, this work improves practical applicability of an information model in its entire modeling lifecycle.

The results contribute not only to the performance of modeling practices but also to improved understanding of information modeling in system integration. Implementation contexts and implementation models are introduced to develop an implementation-oriented modeling architecture. Further, the potential of information models as a knowledge base to sup-port implementation practices is identified.

To concretely discuss behaviors and structures of information models, this study adopts ISO 10303 and the related standards as major references of existing information models.

Case studies on model driven system integration validate this research in scenarios concerning kinematic modeling, kinematic error modeling, cutting tools classification and product catalogue modeling. Model driven system integration exhibits high efficiency in implementation, enhanced interoperability and increased value of information models.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2017. 212 p.
Series
TRITA-IIP, ISSN 1650-1888 ; 17-07
Keyword
System architecture, system integration, information model, ISO 10303, application context, implementation context, implementation model.
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Production Engineering
Identifiers
urn:nbn:se:kth:diva-207156 (URN)978-91-7729-416-0 (ISBN)
Public defence
2017-06-15, M311, Brinellvägen 68, KTH, Stockholm, 14:00 (English)
Opponent
Supervisors
Projects
MPQP - Model driven process and quality planningFBOP - Feature Based Process PlanningDFBB - Digital factory building blocks
Funder
XPRES - Initiative for excellence in production research
Note

QC 20170519

Available from: 2017-05-19 Created: 2017-05-17 Last updated: 2017-05-19Bibliographically approved

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Hedlind, Mikael

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