Towards a systematical approach for wear detection in sheet metal forming using machine learning

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1863-7353

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Towards a systematical approach for wear detection in sheet metal forming using machine learning ; day:6 ; month:8 ; year:2022 ; pages:1-16
Production engineering ; (6.8.2022), 1-16

Creator: Kubik, Christian
Becker, Marco
Molitor, Dirk Alexander
Groche, Peter

Contributor: SpringerLink (Online service)

DOI: 10.1007/s11740-022-01150-x

URN: urn:nbn:de:101:1-2022102118560622477864

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:21 AM CEST

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Towards a systematical approach for wear detection in sheet metal forming using machine learning

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Other Objects (12)

Wear control in sheet metal forming – detection and life span estimation

Towards a systematical approach for wear detection in sheet metal forming using machine learning

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Smart sheet metal forming: importance of data acquisition, preprocessing and transformation on the performance of a multiclass support vector machine for predicting wear states during blanking

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Smart sheet metal forming: importance of data acquisition, preprocessing and transformation on the performance of a multiclass support vector machine for predicting wear states during blanking

Tribology in Warm and Hot Aluminum Sheet Forming: Transferability of Strip Drawing Tests to Forming Trials

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Wear control in sheet metal forming – detection and life span estimation

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