Inspection is the process of determining if a product deviates from a given set of specifications. Fast inspection usually involves measurement of specific part features such as assembly integrity, geometric dimensions and surface finish. It is a quality control task, but is distinguished from testing tasks. The visual inspection of 3D-parts (car body parts) is a special task within manufacturing that has been automated at a comparatively slow pace up to this time. Based on physiological and psychological test methods selected experts and consumers checked a car body surface. The main cosmetic defects are classified. Different optical methods, applied for 3D-measuring of microscopically and macroscopically sheet metal parts based on the Projected Fringes Method (PFM), the Electronic Speckle Interferometry (ESPI), the Reflections Method (RFM), White-Light-Interferometry (WLI) and also SEM-, AFM- and Laser Scanning methods (LSM) will be discussed. In addition, stylus instruments and also colorimeter measurements was included. The paper is closed with advantages and disadvantages of different contemporary intelligent methods for car body inspections: neural net based classification; fuzzy-clustering; fractal analysis and wavelet transformation.


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    Title :

    Intelligent fast 3D - surface quality control and applications in the automotive industry


    Additional title:

    Neue Entwicklungen der intelligenten schnellen 3D-Oberflächen-Qualitätsüberwachung und deren Anwendung im Fahrzeugbau


    Contributors:
    Leopold, J. (author) / Günther, H. (author) / Fürderer, K. (author) / Schulze, B. (author)


    Publication date :

    2000


    Size :

    11 Seiten, 9 Bilder, 1 Tabelle, 17 Quellen



    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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