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

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

Mishra, R. / Malik, J. / Singh, I. / 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

Mishra, R. / Malik, J. / Singh, I. / Davim, J. P.

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

Mishra, R. / Malik, J. / Singh, I. / Davim, J. P.

Zugriff

Zugriff über TIB

Verfügbarkeit in meiner Bibliothek prüfen

Bestellung bei Subito €

Seitennavigation

Dokumentinformationen

Ähnliche Titel

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Dokumentinformationen

Titel:

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

Beteiligte:

Mishra, R. (Autor:in) / Malik, J. (Autor:in) / Singh, I. (Autor:in) / Davim, J. P. (Autor:in)

Erschienen in:

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

Erscheinungsdatum:

01.01.2010

Format / Umfang:

6 pages

ISSN:

0264-1275

Medientyp:

Aufsatz (Zeitschrift)

Format:

Sprache:

Englisch

Klassifikation:

DDC: 620.0042

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