2024
DOI: 10.21203/rs.3.rs-4075117/v1
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Prediction of forming accuracy in incremental sheet forming using artificial neural networks on local surface representations

Dennis Möllensiep,
Lukas Detering,
Philipp Kulessa
et al.

Abstract: While incremental sheet metal forming offers the potential for producing sheet metal parts in small lot sizes, the relatively low forming accuracy prevents a widespread industrial use. For improving the forming accuracy, research institutes are using machine learning techniques to predict the geometric accuracy and modify the toolpath based on the prediction. A critical challenge is it to ensure the generalisability of the prediction model as only a small amount of process data is available to train the model … Show more

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