| People | Locations | Statistics |
|---|---|---|
| Naji, M. |
| |
| Motta, Antonella |
| |
| Aletan, Dirar |
| |
| Mohamed, Tarek |
| |
| Ertürk, Emre |
| |
| Taccardi, Nicola |
| |
| Kononenko, Denys |
| |
| Petrov, R. H. | Madrid |
|
| Alshaaer, Mazen | Brussels |
|
| Bih, L. |
| |
| Casati, R. |
| |
| Muller, Hermance |
| |
| Kočí, Jan | Prague |
|
| Šuljagić, Marija |
| |
| Kalteremidou, Kalliopi-Artemi | Brussels |
|
| Azam, Siraj |
| |
| Ospanova, Alyiya |
| |
| Blanpain, Bart |
| |
| Ali, M. A. |
| |
| Popa, V. |
| |
| Rančić, M. |
| |
| Ollier, Nadège |
| |
| Azevedo, Nuno Monteiro |
| |
| Landes, Michael |
| |
| Rignanese, Gian-Marco |
|
Hartmann, Christoph
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (9/9 displayed)
- 2024New test rig for biaxial and plane strain states on uniaxial testing machines
- 2023Predicting the local solidification time using spherical neural networks
- 2023An artificial neural network approach on crystal plasticity for material modelling in macroscopic simulationscitations
- 2023Establishing Equal-Channel Angular Pressing (ECAP) for sheet metals by using backpressure: manufacturing of high-strength aluminum AA5083 sheetscitations
- 2023Analysis of the melting and solidification process of aluminum in a mirror furnace using Fiber-Bragg-Grating and numerical modelscitations
- 2022Localization of cavities in cast components via impulse excitation and a finite element analysiscitations
- 2021Combining Structural Optimization and Process Assurance in Implicit Modelling for Casting Partscitations
- 2021Feasibility of Acoustic Print Head Monitoring for Binder Jetting Processes with Artificial Neural Networkscitations
- 2019Data-Driven Compensation for Bulk Formed Parts Based on Material Point Trackingcitations
Places of action
| Organizations | Location | People |
|---|
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