An intelligent controller for improving the quality of deep drawn components

S. Hinduja, J. Atkinson, D. Lau, Ashraf Labib, P. Agirrezabal

    Research output: Contribution to journalArticlepeer-review

    Abstract

    A prototype system, which detects wrinkling and tearing in sheet metal parts, has been developed. A spatial variation of the blankholding force (BHF) is achieved by hydraulic adjustment of the force in the BHF pins which are subdivided into groups. Neural networks predict the presence of wrinkles. Tears are predicted from the punch force signals using feature extraction techniques. A fuzzy logic controller (FLC) recommends changes to the BHF and lubrication to improve the quality of the next part. The results obtained when drawing the back panel of a washing machine are discussed.
    Original languageEnglish
    Pages (from-to)221-224
    Number of pages4
    JournalCIRP Annals - Manufacturing Technology
    Volume49
    Issue number1
    DOIs
    Publication statusPublished - 2000

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