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Trienens, Dorte, et al. “Determination of Correlations between Melt Quality and the Screw Performance Index in the Extrusion Process.”https://doi.org/10.3390/polym15163427__Polymers 2023, 2023, doi:https://doi.org/10.3390/polym15163427.
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Schöppner, Volker, and Dennis Kleinschmidt. “Improvement of a Method for the Correction of Wall Slip Effects within the Rheological Measurements of Filled Rubber Compounds.” SPE Polymers, 2023, pp. 1–17.
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Gräßler, Iris, et al. Creating Synthetic Training Data for Machine Vision Quality Gates. Edited by Volker Lohweg, Springer Vieweg, 2023, pp. 95–106, doi:10.1007/978-3-662-66769-9_7 .
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Butzhammer, Lorenz, et al. “Dynamic Conformity Assessment for Joining Force Monitoring Using Bayes Filters.”10.21741/9781644902417-48__Materials Research Proceedings, Materials Research Forum LLC, 2023, doi:10.21741/9781644902417-48.
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Gräßler, Iris, and Michael Hieb. Creating Synthetic Datasets for Deep Learning Used in Machine Vision. CIRP , 2023.
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Gräßler, Iris, and Philipp Hesse. “CONSIDERING ENGINEERING ACTIVITIES AND PRODUCT CHARACTERISTICS TO ACHIEVE MATERIAL CIRCULARITY BY DESIGN.”10.1017/pds.2023.108__Proceedings of the Design Society, vol. 3, Cambridge University Press (CUP), 2023, pp. 1077–86, doi:10.1017/pds.2023.108.
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Gräßler, Iris, et al. “Virtual Test Scenarios for Human-Centered Design with Virtual Measurement Systems.”10.5162/smsi2023/p70__Poster, AMA Service GmbH, Von-Münchhausen-Str. 49, 31515 Wunstorf, Germany, 2023, pp. 416–17, doi:10.5162/smsi2023/p70.
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Gräßler, Iris, et al. “Virtual Learning Environment for Teaching the Handling of Collaborative Robots.”10.2139/ssrn.4471596__SSRN Electronic Journal, Elsevier BV, 2023, doi:10.2139/ssrn.4471596.
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Gräßler, Iris, and Michael Hieb. “Cloud-Computing Für Die Verwendung Synthetischer Trainingsdaten Für Machine Vision Quality Gates.”10.51202/9783181024195-765__Automation 2023, vol. 2419, VDI Verlag , 2023, pp. 765–76, doi:10.51202/9783181024195-765.
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Brüning, Florian, et al. “Wall Slip-Free Viscosity Determination of Filled Rubber Compounds Using Steady-State Shear Measurements.”https://doi.org/10.3390/polym15224406__Polymers, 2023, pp. 1–23, doi:https://doi.org/10.3390/polym15224406.
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Schöppner, Volker, et al. “Recycling-Ansatz für mehrkomponentige Kunststoffprodukte durch thermische Verbundtrennung.” EXTRUSION, no. 8/2023, 2023, pp. 56–59.
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Schöppner, Volker, and Theresa Arndt. “Anvil-Free Ultrasonic Welding for Welding Situations with One Sided Access.” 76th Annual Assembly of the International Institute of Welding (IIW), 2023.
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Brüning, Florian, et al. “Elastomerrecycling mittels Mikrowellenstrahlung.” Kunststoffland NRW Report, no. 03/2023, 2023, pp. 28–29.
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Moritzer, Elmar, et al. “Conformal Cooling at Low Cost.” Plastics Insights, no. 8/2023, 2023, pp. 44–48.
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Gräßler, Iris, and Michael Hieb. “Creating Synthetic Training Datasets for Inspection in Machine Vision Quality Gates in Manufacturing.”10.5162/smsi2023/d7.4__Lectures, AMA Service GmbH, Von-Münchhausen-Str. 49, 31515 Wunstorf, Germany, 2023, pp. 253–524, doi:10.5162/smsi2023/d7.4.
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Gräßler, Iris, et al. “Efficient Formalisation of Technical Requirements for Generative Engineering.”10.1017/pds.2023.160__Proceedings of the Design Society, 2023, pp. 1595–604, doi:10.1017/pds.2023.160.
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Wituschek, Simon, et al. “Combination of Versatile Self-Piercing Riveting Processes.”10.21741/9781644902417-16__Materials Research Proceedings, Materials Research Forum LLC, 2023, doi:10.21741/9781644902417-16.
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Chalicheemalapalli Jayasankar, Deviprasad. Advances In RTM Manufacturing Of Metal-FRP Hybrids By Self-Sealing And In-Mold Cleaning Techniques. 2023.
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Chalicheemalapalli Jayasankar, Deviprasad, et al. In-Mold Assembly of Hybrid GMT-Steel Brake Pedals by Compression Molding. 2023.
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