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Fine Grain Feature Associations in Collaborative Design and Manufacturing – A Unified Approach

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Collaborative Design and Planning for Digital Manufacturing

Abstract

In the context of concurrent and collaborative engineering, the validity and consistency of product information become important. However, it is difficult for the current computer-aided systems to check the information validity and consistency because the engineers’ intent is not fully represented in a consistent product model. This chapter consolidates a theoretic unified product modelling scheme with fine grain feature-based methods for the integration of computer-aided applications. The scheme extends the traditional feature concept to a flexible and enriched data type, unified feature, which can be used to support the validity maintenance of product models. The novelty of this research is that the developed unified feature scheme is able to support entity associations and propagation of modifications across product lifecycle stages.

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Author information

Authors and Affiliations

  1. Department of Mechanical Engineering, Faculty of Engineering, University of Alberta, T6G 2E1, Edmonton, Alberta, Canada

    Y.-S. Ma

  2. School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, Singapore

    G. Chen & G. Thimm

Authors
  1. Y.-S. Ma
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  2. G. Chen
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  3. G. Thimm
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Editor information

Editors and Affiliations

  1. University of Skövde, PO Box 408, 541 28, Skövde, Sweden

    Lihui Wang

  2. National University of Singapore, 9 Engineering Drive 1, 117576, Singapore, Singapore

    Andrew Y.C. Nee

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© 2009 Springer London

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Ma, YS., Chen, G., Thimm, G. (2009). Fine Grain Feature Associations in Collaborative Design and Manufacturing – A Unified Approach. In: Wang, L., Nee, A. (eds) Collaborative Design and Planning for Digital Manufacturing. Springer, London. https://doi.org/10.1007/978-1-84882-287-0_3

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  • DOI: https://doi.org/10.1007/978-1-84882-287-0_3

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-84882-286-3

  • Online ISBN: 978-1-84882-287-0

  • eBook Packages: EngineeringEngineering (R0)

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