A5076874291- Materials Engineering and Processing
- Additive Manufacturing and 3D Printing Technologies
- Magnetic confinement fusion research
- Laser-Plasma Interactions and Diagnostics
- Adhesion, Friction, and Surface Interactions
- Advanced Sensor and Energy Harvesting Materials
- Material Properties and Processing
- Ionosphere and magnetosphere dynamics
- Nanomaterials and Printing Technologies
- Aluminum Alloys Composites Properties
Fraunhofer Institute for Casting, Composite and Processing Technology IGCV
2021-2023
Max Planck Society
2015
Complex casting parts rely on sand cores that are both high-strength and can be easily decored after casting. Previous works have shown the need to understand influences decoring behavior of inorganically bound cores. This work uses black box explainable machine learning methods determine significant based experimental data. The comprise artificial neural networks (ANN), extreme gradient boosting (XGBoost), SHapley Additive exPlanations (SHAP). formulates five hypotheses, for which available...
The clogging of piezoelectric nozzles is a typical problem in various additive binder jetting processes, such as the manufacturing casting molds. This work aims at print head monitoring these processes. structure-born noise modules analyzed with an Artificial Neural Network to classify whether are functional or clogged. acoustic data studied frequency domain and utilized input for Network. We found that it possible successfully individual well enough implement monitoring, which automatically...