Jonathan-Markus Einwag

Research associates

Contact

Postal Address:
Martensstraße 9
91058 Erlangen
Location:
Paul-Gordan-Straße 5
91052 Erlangen
(Röthelheim-Campus)

Office 00.033

Generation of predictive regression models for the property prediction of mechanically joined multi-material joints
Development of a cross-domain knowledge base for mechanical joining processes

Einwag JM., Wartzack S., Götz S.:
Decide-Adapt-Reuse: a decision framework to reuse or adapt metamodels for new clinch joint designs
In: Proceedings of the Design Society (2026)
ISSN: 2732-527X
DOI: 10.1017/pds.2026.10411
Einwag JM., Wiemer M., Wartzack S., Götz S.:
A hybrid knowledge based and data based approach for efficient clinch joint design
In: Discover Mechanical Engineering 5 (2026), Article No.: 56
ISSN: 2731-6564
DOI: 10.1007/s44245-026-00230-x

Einwag JM., Mayer Y., Götz S., Wartzack S.:
Impact of the parameter distribution on the predictive quality of metamodels for clinch joint properties
21st International Conference on Sheet Metal (Paderborn, 1. April 2025 - 3. April 2025)
In: SheMet2025, Millersville: 2025
DOI: 10.21741/9781644903551-35
Einwag JM., Steinfelder C., Wartzack S., Brosius A., Götz S.:
From simulation to metamodel to experiment: Evaluating the prediction accuracy of polynomial regression models for clinch joint properties
In: Journal of Manufacturing Processes 154 (2025), p. 179-191
ISSN: 1526-6125
DOI: 10.1016/j.jmapro.2025.09.059

Einwag JM., Götz S., Wartzack S.:
Approach for the Reliable and Virtual Design of Mechanical Joints in an Uncertain Environment
35th Symposium Design for X (DFX2024) (Bamberg, 12. September 2024 - 13. September 2024)
In: DS 133: Proceedings of the 35th Symposium Design for X (DFX2024) 2024
DOI: 10.35199/dfx2024.23