3D CMM Strain-Gauge Triggering Probe Error Characteristics Modeling

Sofiane Achiche, Adam Wozniak, Zhun Fan, Marek Balazinski, Torben Sørensen

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    Abstract

    The error values of CMMs depends on the probing direction; hence its spatial variation is a key part of the probe inaccuracy. This paper presents genetically-generated fuzzy knowledge bases (FKBs) to model the spatial error characteristics of a CMM module-changing probe. Two automatically generated FKBs based on two optimization paradigms are used for the reconstruction of the directiondependent probe error w. The angles β and γ are used as input variables of the FKBs; they describe the spatial direction of probe triggering. The learning algorithm used to generate the FKBs is a real/ binary like coded genetic algorithm developed by the authors. The influence of the optimization criteria on the precision of the genetically-generated FKBs is presented.
    Original languageEnglish
    Title of host publicationNorth American Fuzzy Information Processing Conference
    Place of PublicationNew York, NY
    PublisherNAFIPS
    Publication date2008
    Pages50048
    ISBN (Print)14-24-42352-1
    Publication statusPublished - 2008
    EventNorth American Fuzzy Information Processing Conference - New York, NY
    Duration: 1 Jan 2008 → …

    Conference

    ConferenceNorth American Fuzzy Information Processing Conference
    CityNew York, NY
    Period01/01/2008 → …

    Keywords

    • Genetic Algorithms
    • CMM Calibration
    • Fuzzy Logic

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