3D-Druck für Führungskräfte

Kunze, Oliver; Schilp, Johannes; Frommer, Fabian; Oettl, Fabio; Klinkova, Galiya

doi:10.3139/9783446477285

2023

DOI: 10.3139/9783446477285

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3D-Druck für Führungskräfte

Oliver Kunze¹,

Johannes Schilp²,

Fabian Frommer³

et al.

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2024

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Maschinelles Lernen als modernes Werkzeug für Additive Fertigung

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2024

Zeitschrift Für Wirtschaftlichen Fabrikbetrieb

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In modern manufacturing systems, quality monitoring is crucial for efficient and cost-effective production. Conventional systems rely on thresholds and process windows, but machine learning (ML) techniques promise greater accuracy and efficiency. However, pre-processing the data is still timeconsuming. This paper presents an approach to visually verify two Variational Autoencoders (VAEs) using contextual information such as print job numbers and timestamps, with the aim of predicting time series data from image data to optimize additive manufacturing processes in time. The approach focuses on the Digital Light Processing (DLP) printing process and emphasizes the importance of accurate data pre-processing and contextual visualization. The approach utilizes VAE-generated latent spaces to improve prediction accuracy in additive manufacturing and implement quality monitoring without thresholds and process windows.

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Maschinelles Lernen als modernes Werkzeug für Additive Fertigung

Lück,

Deser,

Hornung

2024

Zeitschrift Für Wirtschaftlichen Fabrikbetrieb

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show abstract

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3D-Druck für Führungskräfte

Cited by 1 publication

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Maschinelles Lernen als modernes Werkzeug für Additive Fertigung

Maschinelles Lernen als modernes Werkzeug für Additive Fertigung

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