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Title:

Feasibility of Acoustic Print Head Monitoring for Binder Jetting Processes with Artificial Neural Networks

Document type:
Zeitschriftenaufsatz
Author(s):
Lechner, Philipp; Heinle, Philipp; Hartmann, Christoph; Bauer, Constantin; Kirchebner, Benedikt; Dobmeier, Fabian; Volk, Wolfram
Abstract:
The clogging of piezoelectric nozzles is a typical problem in various additive binder jetting processes, such as the manufacturing of casting molds. This work aims at print head monitoring in these binder jetting processes. The structure-born noise of piezoelectric print modules is analyzed with an Artificial Neural Network to classify whether the nozzles are functional or clogged. The acoustic data are studied in the frequency domain and utilized as input for an Artificial Neural Network. We fo...     »
Journal title:
Applied Sciences
Year:
2021
Journal volume:
11
Journal issue:
22
Pages contribution:
10672
Covered by:
Scopus
Reviewed:
ja
Fulltext / DOI:
doi:10.3390/app112210672
Publisher:
MDPI AG
E-ISSN:
2076-3417
Date of publication:
12.11.2021
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