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    Neural network approach for estimating the residual tensile strength after drilling in uni-directional glass fiber reinforced plastic laminates

    New search for: Mishra, R.
    New search for: Malik, J.
    New search for: Singh, I.
    New search for: Davim, J. P.

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    Neural network approach for estimating the residual tensile strength after drilling in uni-directional glass fiber reinforced plastic laminates

    New search for: Mishra, R.
    New search for: Malik, J.
    New search for: Singh, I.
    New search for: Davim, J. P.

    Access

    Access via TIB
    Check availability in my library
    Order at Subito €

    Neural network approach for estimating the residual tensile strength after drilling in uni-directional glass fiber reinforced plastic laminates

    New search for: Mishra, R.
    New search for: Malik, J.
    New search for: Singh, I.
    New search for: Davim, J. P.

    Access

    Access via TIB
    Check availability in my library
    Order at Subito €

    Access

    Access via TIB
    Check availability in my library
    Order at Subito €

    Page navigation

    Document information
    Similar titles

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    Document information
    Title:

    Neural network approach for estimating the residual tensile strength after drilling in uni-directional glass fiber reinforced plastic laminates

    Contributors:

    Mishra, R. (author) / Malik, J. (author) / Singh, I. (author) / Davim, J. P. (author)

    Published in:

    MATERIALS AND DESIGN -REIGATE- ; 31 ; 2790-2795

    Publication date:

    2010-01-01

    Size:

    6 pages

    ISSN:

    0264-1275

    Type of media:

    Article (Journal)

    Type of material:

    Print

    Language:

    English

    Classification:

    DDC:  620.0042

    © Metadata Copyright the British Library Board and other contributors. All rights reserved.

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