Generalized linear models for simulated hydroforming processes

U. Gather, S. Kuhnt

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

    Abstract

    In high-pressure sheet metal hydroforming (HBU) simulations provide a useful tool for off-line quality improvement. We analyse such finite element simulations by using extended generalized linear models. Especially, we determine settings of the design parameters which minimize the estimated variance of the quality measures in these models. At the same time the parameter setting will fulfil the estimated mean model equation at the desired target. The optimal process is carried out simultaneously for the two quality characteristics blank thinning and geometrical accuracy. This is done using a multivariate loss function approach.
    Original languageEnglish
    Title of host publicationSimulation Aided Offline Process Design and Optimisation in Manufacturing Sculptured Surfaces (Witten-Bommerholz, Germany, January 27-28, 2003)
    EditorsK. Weinert
    Pages59-67
    Publication statusPublished - 2003

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    Cite this

    Gather, U., & Kuhnt, S. (2003). Generalized linear models for simulated hydroforming processes. In K. Weinert (Ed.), Simulation Aided Offline Process Design and Optimisation in Manufacturing Sculptured Surfaces (Witten-Bommerholz, Germany, January 27-28, 2003) (pp. 59-67)
    Gather, U. ; Kuhnt, S. / Generalized linear models for simulated hydroforming processes. Simulation Aided Offline Process Design and Optimisation in Manufacturing Sculptured Surfaces (Witten-Bommerholz, Germany, January 27-28, 2003). editor / K. Weinert. 2003. pp. 59-67
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    abstract = "In high-pressure sheet metal hydroforming (HBU) simulations provide a useful tool for off-line quality improvement. We analyse such finite element simulations by using extended generalized linear models. Especially, we determine settings of the design parameters which minimize the estimated variance of the quality measures in these models. At the same time the parameter setting will fulfil the estimated mean model equation at the desired target. The optimal process is carried out simultaneously for the two quality characteristics blank thinning and geometrical accuracy. This is done using a multivariate loss function approach.",
    author = "U. Gather and S. Kuhnt",
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    language = "English",
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    Gather, U & Kuhnt, S 2003, Generalized linear models for simulated hydroforming processes. in K Weinert (ed.), Simulation Aided Offline Process Design and Optimisation in Manufacturing Sculptured Surfaces (Witten-Bommerholz, Germany, January 27-28, 2003). pp. 59-67.

    Generalized linear models for simulated hydroforming processes. / Gather, U.; Kuhnt, S.

    Simulation Aided Offline Process Design and Optimisation in Manufacturing Sculptured Surfaces (Witten-Bommerholz, Germany, January 27-28, 2003). ed. / K. Weinert. 2003. p. 59-67.

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

    TY - CHAP

    T1 - Generalized linear models for simulated hydroforming processes

    AU - Gather, U.

    AU - Kuhnt, S.

    PY - 2003

    Y1 - 2003

    N2 - In high-pressure sheet metal hydroforming (HBU) simulations provide a useful tool for off-line quality improvement. We analyse such finite element simulations by using extended generalized linear models. Especially, we determine settings of the design parameters which minimize the estimated variance of the quality measures in these models. At the same time the parameter setting will fulfil the estimated mean model equation at the desired target. The optimal process is carried out simultaneously for the two quality characteristics blank thinning and geometrical accuracy. This is done using a multivariate loss function approach.

    AB - In high-pressure sheet metal hydroforming (HBU) simulations provide a useful tool for off-line quality improvement. We analyse such finite element simulations by using extended generalized linear models. Especially, we determine settings of the design parameters which minimize the estimated variance of the quality measures in these models. At the same time the parameter setting will fulfil the estimated mean model equation at the desired target. The optimal process is carried out simultaneously for the two quality characteristics blank thinning and geometrical accuracy. This is done using a multivariate loss function approach.

    M3 - Chapter

    SN - 3-00-010891-2

    SP - 59

    EP - 67

    BT - Simulation Aided Offline Process Design and Optimisation in Manufacturing Sculptured Surfaces (Witten-Bommerholz, Germany, January 27-28, 2003)

    A2 - Weinert, K.

    ER -

    Gather U, Kuhnt S. Generalized linear models for simulated hydroforming processes. In Weinert K, editor, Simulation Aided Offline Process Design and Optimisation in Manufacturing Sculptured Surfaces (Witten-Bommerholz, Germany, January 27-28, 2003). 2003. p. 59-67