Uhe, B., Kuball, C.-M., Merklein, M., &; Meschut, G. (2023). Approach for a sustainable process chain in manufacturing of fasteners for mechanical joining. 20th International Conference on Sheet Metal (SheMet) 2023, Nürnberg.https://doi.org/10.21741/9781644902417-49 

Trienens, D., Schöppner, V., &; Bunse, R. (2023). Determination of Correlations between Melt Quality and the Screw Performance Index in the Extrusion Process. Polymers 2023.https://doi.org/10.3390/polym15163427 

Schöppner, V., &; Kleinschmidt, D. (2023). Improvement of a method for the correction of wall slip effects within the rheological measurements of filled rubber compounds. SPE Polymers, 1–17.

Gräßler, I., Hieb, M., Roesmann, D., &; Unverzagt, M. (2023). Creating Synthetic Training Data for Machine Vision Quality Gates (V. Lohweg, Ed.; pp. 95–106). Springer Vieweg.https://doi.org/10.1007/978-3-662-66769-9_7  

Butzhammer, L., Kappe, F., Meschut, G., &; Hausotte, T. (2023). Dynamic conformity assessment for joining force monitoring using Bayes filters. Materials Research Proceedings.https://doi.org/10.21741/9781644902417-48 

Gräßler, I., &; Hieb, M. (2023). Creating Synthetic Datasets for Deep Learning used in Machine Vision.

Gräßler, I., &; Hesse, P. (2023). CONSIDERING ENGINEERING ACTIVITIES AND PRODUCT CHARACTERISTICS TO ACHIEVE MATERIAL CIRCULARITY BY DESIGN. Proceedings of the Design Society, 3, 1077–1086.https://doi.org/10.1017/pds.2023.108 

Gräßler, I., Roesmann, D., Unverzagt, M., &; Pottebaum, J. (2023). Virtual Test Scenarios for Human-Centered Design with Virtual Measurement Systems. Poster, 416–417.https://doi.org/10.5162/smsi2023/p70 

Gräßler, I., Hieb, M., Roesmann, D., Unverzagt, M., &; Pottebaum, J. (2023). Virtual learning environment for teaching the handling of collaborative robots. SSRN Electronic Journal.https://doi.org/10.2139/ssrn.4471596 

Gräßler, I., &; Hieb, M. (2023). Cloud-Computing für die Verwendung synthetischer Trainingsdaten für Machine Vision Quality Gates. Automation 2023, 2419, 765–776.https://doi.org/10.51202/9783181024195-765 

Brüning, F., Kleinschmidt, D., &; Petzke, J. (2023). Wall Slip-Free Viscosity Determination of Filled Rubber Compounds Using Steady-State Shear Measurements. Polymers, 1–23.https://doi.org/10.3390/polym15224406 

Schöppner, V., Austermeier, L., Brüning, F., Oldemeier, J. P., &; Brandt, O. (2023). Recycling-Ansatz für mehrkomponentige Kunststoffprodukte durch thermische Verbundtrennung. EXTRUSION, 8/2023, 56–59.

Schöppner, V., &; Arndt, T. (2023). Anvil-free ultrasonic welding for welding situations with one sided access. 76th Annual Assembly of the International Institute of Welding (IIW).

Brüning, F., Kleinschmidt, D., &; Petzke, J. (2023). Elastomerrecycling mittels Mikrowellenstrahlung. Kunststoffland NRW Report, 03/2023, 28–29.

Moritzer, E., Kartelmeyer, S., Kringe, R., &; Jaroschek, C. (2023). Conformal Cooling at Low Cost. Plastics Insights, 8/2023, 44–48.

Gräßler, I., &; Hieb, M. (2023). Creating Synthetic Training Datasets for Inspection in Machine Vision Quality Gates in Manufacturing. Lectures, 253–524.https://doi.org/10.5162/smsi2023/d7.4 

Gräßler, I., Preuß, D., Brandt, L., &; Mohr, M. (2023). Efficient Formalisation of Technical Requirements for Generative Engineering. Proceedings of the Design Society, 1595–1604.https://doi.org/10.1017/pds.2023.160 

Wituschek, S., Kappe, F., Meschut, G., &; Lechner, M. (2023). Combination of versatile self-piercing riveting processes. Materials Research Proceedings.https://doi.org/10.21741/9781644902417-16 

de Camargo e Souza Câmara, I., &; Turhan, A.-Y. (2023). Deciding Subsumption in Defeasible $$\'6dathcal ELI_$$ with Typicality Models. In Logics in Artificial Intelligence. Springer Nature Switzerland.https://doi.org/10.1007/978-3-031-43619-2_36 

Gil, O. F., Patrizi, F., Perelli, G., &; Turhan, A.-Y. (2023). Optimal Alignment of Temporal Knowledge Bases. CoRR, abs/2307.15439.https://doi.org/10.48550/ARXIV.2307.15439