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Kirchebner, Benedikt
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Publications (5/5 displayed)
- 2024Continuous Casting with Mid-Process Alloying: An Experimental Study on the Importance of Inlet Positioning
- 2021Analysis of salts for use as support structure in metal material jettingcitations
- 2021Feasibility of Acoustic Print Head Monitoring for Binder Jetting Processes with Artificial Neural Networkscitations
- 2021Inline Topology Measurement of Material Jetted Metal Parts
- 2021Influence of Salt Support Structures on Material Jetted Aluminum Partscitations
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article
Feasibility of Acoustic Print Head Monitoring for Binder Jetting Processes with Artificial Neural Networks
Abstract
Art. 10672, 16 S. ; 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 found that it is possible to successfully classify individual nozzles well enough to implement a print head monitoring, which automatically determines whether the print head needs maintenance. ; 11 ; Nr.22