Thesis|SHK|WHK
High-speed holographic interferometry for keyhole
evaluation in laser material processing (KEEN)
Motivation
Laser material processing is increasingly important in industrial manufacturing due to its precision and efficiency. In deep penetration welding, a vapor capillary („keyhole“) forms and moves along the weld path. Its stability directly affects weld quality. However, materials like aluminum castings and copper alloys often cause keyhole fluctuations
due to volatile elements, making real-time monitoring essential.
Building on previous work, we plan to combine digital holography and AIbased data analysis for real-time 3D imaging.
This is a transfer project together with the Fraunhofer IWS and the industry partners Lessmüller Lasertechnik GmbH and ZF Group.
Range of Tasks
Software
- Implementation of neural network based reconstruction and classification
- Developing a method to model reconstruction uncertainty and quantify confidence
- Model optimization, result evaluation and documentation
Hands on
- Characterization and optimisation of lab setup
Related Topics
Digital Holography, Deep learning, Image processing
Contact
Alexander Thees, BAR 116, Tel. 463-35303, E-Mail: alexander.thees@ tu-dresden.de