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Betriebsfestigkeitsbewertung von Aluminiumguss durch den Einsatz digitaler Zwillinge und maschinellem Lernen

Der zielgerichtete Einsatz zur Reduktion von Gewicht und Emissionen stellt erhöhte Anforderungen an die Betriebsfestigkeitsbewertung von Aluminiumgussbauteilen.

Durch die fortschreitende Digitalisierung der Produktion stehen detaillierte Prozessdaten für die Bauteilbewertung zur Verfügung, wodurch sowohl die Simulation des Herstellungsprozesses als auch die Erstellung digitaler Zwillinge ermöglicht wird. In diesem Kontext wurde ein durchgängiges Berechnungskonzept entlang der Prozesskette zur Lebensdauervorhersage von Aluminiumgussbauteilen entwickelt. Dieses Berechnungskonzept berücksichtigt die lokalen herstellungsbedingten Eigenschaften und verbessert die Genauigkeit der Lebensdauervorhersage mithilfe digitaler Zwillinge.

Darauf basierend wurde ein…

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Description

Der zielgerichtete Einsatz zur Reduktion von Gewicht und Emissionen stellt erhöhte Anforderungen an die Betriebsfestigkeitsbewertung von Aluminiumgussbauteilen.

Darauf basierend wurde ein Machine-Learning-Modell auf Basis von Prozessdaten und den daraus berechneten Lebensdauern trainiert. Dieses Modell ermöglicht eine unmittelbare Abschätzung der Bauteillebensdauer anhand der entsprechenden Prozessdaten.

Reference: BF-2025-598

Title: Betriebsfestigkeitsbewertung von Aluminiumguss durch den Einsatz digitaler Zwillinge und maschinellem Lernen
Author(s): C. Jia, D. Baiz, H. Mauch, A. Esderts
DOI: 10.48447/BF-2025-598
Event: Strukturfestigkeit und Produktlebenszyklus – Vom Design bis zur Kreislaufwirtschaft – Tagung 2025
Year of publication: 2025
Publication type: conference paper (PDF)
Language: German
Keywords: Berechnungskonzept,Lebensdauervorhersage,Aluminiumgussbauteil,Herstellungsprozess,Machine-Learning-Modell

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Publication type: conference paper (PDF)

German

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Editor(s): M. Decker

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51. Tagung des Arbeitskreises Betriebsfestigkeit

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€90.00

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€25.00

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€25.00

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€25.00

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Bauteilberechnung unter Wasserstoffatmosphäre auf Basis der FKM-Richtlinien

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€25.00

Online only New

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1

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€25.00

Online only New

Author(s): M. Oberreiter, M. Stoschka, F. Grün

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1

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€25.00

Online only New

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1

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€25.00

Online only New