Toward Meaningful Manufacturing Variation Data in Design - Feature Based Description of Variation in Manufacturing Processes

Tobias Eifler, Srinivasa Murthy Boorla, Thomas J. Howard

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    Abstract

    The need to mitigate the effects of manufacturing variation already in design is nowadays commonly acknowledged and has led to a wide use of predictive modeling techniques, tolerancing approaches, etc. in industry. The trustworthiness of corresponding variation analyses is, however, not ensured by the availability of sophisticated methods and tools alone, but does evidently also depend on the accuracy of the input information used. As existing approaches for the description of manufacturing variation focus however, almost exclusively, on monitoring and controlling production processes, there is frequently a lack of objective variation data in design. As a result, variation analyses and tolerancing activities rely on numerous assumptions made to fill the gaps of missing or incomplete data. To overcome this hidden subjectivity, a schema for a consistent and standardised description of manufacturing variation is suggested. It extends existing ISO GPS annotation by information about influences on the manufacturability of a chosen design solution and in this way enables the systematic acquisition of variation data meaningful for design practice.
    Original languageEnglish
    JournalProcedia CIRP
    Volume43
    Pages (from-to)190-195
    Number of pages6
    ISSN2212-8271
    DOIs
    Publication statusPublished - 2016
    Event14th CIRP Conference on Computer Aided Tolerancing - Gothenburg, Sweden
    Duration: 18 May 201620 May 2016
    http://www.chalmers.se/en/conference/cat2016/Pages/default.aspx

    Conference

    Conference14th CIRP Conference on Computer Aided Tolerancing
    Country/TerritorySweden
    CityGothenburg
    Period18/05/201620/05/2016
    Internet address

    Bibliographical note

    © 2016 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

    Keywords

    • Manufacturability
    • Manufacturing Variation database
    • Process Cabalitiy
    • Robust Design
    • Tolerance

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