Anisotropic plasticitydamage material model for sheet metal — Regularised single surface formulation
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Further development of a numerical method for analyzing the load capacity of clinched joints in versatile process chains
C.R. Bielak, M. Böhnke, M. Bobbert, G. Meschut, in: ESAFORM 2021, n.d.

Data-driven analysis of cold-formed pin structure characteristics in the context of versatile joining processes
D. Römisch, C. Zirngibl, B. Schleich, S. Wartzack, M. Merklein, IOP Conference Series: Materials Science and Engineering 1157 (2021) 012077.

Numerical and experimental investigation of the transmission moment of clinching points
C. Steinfelder, J. Kalich, A. Brosius, U. Füssel, IOP Conference Series: Materials Science and Engineering 1157 (2021) 012003.

Fiber Orientation Mechanism of Continuous Fiber Reinforced Thermoplastics Hybrid Parts Joined with Metallic Pins
J. Popp, T. Kleffel, D. Römisch, T. Papke, M. Merklein, D. Drummer, Applied Composite Materials 28 (2021) 951–972.

Clinching of Thermoplastic Composites and Metals—A Comparison of Three Novel Joining Technologies
B. Gröger, J. Troschitz, J. Vorderbrüggen, C. Vogel, R. Kupfer, G. Meschut, M. Gude, Materials 14 (2021) 2286.

Determination of the Interface Structural Resolution of an Industrial X-Ray Computed Tomograph Using a Spherical Specimen and a Gap Specimen Consisting of Gauge Blocks
M. Busch, T. Hausotte, Key Engineering Materials 883 (2021) 41–48.

Testification of Condorcet Winners in dueling bandits
B. Haddenhorst, V. Bengs, J. Brandt, E. Hüllermeier, in: C. de Campos, M.H. Maathuis (Eds.), Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, PMLR, 2021, pp. 1195–1205.

Clinching in In-situ CT – Experimental Study on Suitable Tool Materials
D. Köhler, R. Kupfer, J. Troschitz, M. Gude, ESAFORM 2021 (2021).

In Situ Computed Tomography—Analysis of a Single-Lap Shear Test with Clinch Points
D. Köhler, R. Kupfer, J. Troschitz, M. Gude, Materials 14 (2021) 1859.

Friction Characterisation for a Tumbling Self-Piercing Riveting Process
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Identification of the Generalized Condorcet Winner in Multi-dueling Bandits
B. Haddenhorst, V. Bengs, E. Hüllermeier, in: A. Beygelzimer, Y. Dauphin, P. Liang, J.W. Vaughan (Eds.), Advances in Neural Information Processing Systems, 2021.

Technikphilosophie
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Practical sufficient conditions for convergence of distributed
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Ranking Structured Objects with Graph Neural Networks
C. Damke, E. Hüllermeier, in: C. Soares, L. Torgo (Eds.), Proceedings of The 24th International Conference on Discovery Science (DS 2021), Springer, 2021, pp. 166–180.

Towards Green Automated Machine Learning: Status Quo and Future Directions
T. Tornede, A. Tornede, J.M. Hanselle, M.D. Wever, F. Mohr, E. Hüllermeier, ArXiv:2111.05850 (2021).

A PLIC-based method for species mass transfer at free fluid interfaces
A. Schulz, C. Wecker, V. Inguva, A.S. Lopatin, E.Y. Kenig, Chemical Engineering Science 251 (2021).

Automated Machine Learning for Multi-Label Classification
M.D. Wever, Automated Machine Learning for Multi-Label Classification, 2021.

Immersive augmented reality system for the training of pattern classification control with a myoelectric prosthesis
A. Boschmann, D. Neuhaus, S. Vogt, C. Kaltschmidt, M. Platzner, S. Dosen, Journal of NeuroEngineering and Rehabilitation 18 (2021).

Exploiting Hardware-Based Data-Parallel and Multithreading Models for Smart Edge Computing in Reconfigurable FPGAs
A. Rodriguez, A. Otero, M. Platzner, E. De la Torre, IEEE Transactions on Computers (2021) 1–1.