@inbook{52811,
  author       = {{Biehler, Rolf and Guntermann, Dominik and Liebendörfer, Michael and Krämer, Sandra and Schlüter, Sarah}},
  booktitle    = {{Beiträge zum Mathematikunterricht 2022. 56. Jahrestagung der Gesellschaft für Didaktik der Mathematik}},
  editor       = {{Goethe-Universität Frankfur, IDMI-Primar}},
  isbn         = {{978-3-95987-208-9}},
  pages        = {{407–410}},
  publisher    = {{WTM}},
  title        = {{{Fachdidaktisches Design von Begründungsvideos im Projekt studiVEMINTvideos}}},
  doi          = {{10.37626/GA9783959872089.0}},
  volume       = {{1}},
  year         = {{2023}},
}

@inbook{52810,
  author       = {{Göller, Robin and Gildehaus, Lara and Liebendörfer, Michael and Besser, Michael}},
  booktitle    = {{Hanse-Kolloquium zur Hochschuldidaktik der Mathematik 2021. Beiträge zum gleichnamigen Online-Symposium am 12 November 2021 aus Bochum}},
  editor       = {{Härterich, Jörg and Kallweit, Michael and Rolka, Katrin and Skill, Thomas}},
  isbn         = {{978-3-95987-264-5}},
  pages        = {{66–80}},
  publisher    = {{WTM}},
  title        = {{{Erfassung und Vergleich (mathematischer) Eingangsvoraussetzungen angehender Studierender verschiedener mathematikhaltiger Studiengänge}}},
  year         = {{2023}},
}

@inbook{52809,
  author       = {{Kempen, Leander and Liebendörfer, Michael}},
  booktitle    = {{Hanse-Kolloquium zur Hochschuldidaktik der Mathematik 2021. Beiträge zum gleichnamigen Online-Symposium am 12 November 2021 aus Bochum}},
  editor       = {{Härterich, Jörg and Kallweit, Michael and Rolka, Katrin and Skill, Thomas}},
  isbn         = {{978-3-95987-264-5}},
  pages        = {{91–106}},
  publisher    = {{WTM}},
  title        = {{{Zu digital - zu viel - zu schwer? Qualitative Einsichten in das Erleben und Handeln von Erstsemester-Studierenden der Mathematik während der Corona-Pandemie}}},
  year         = {{2023}},
}

@inbook{52813,
  author       = {{Schlüter, Sarah and Liebendörfer, Michael}},
  booktitle    = {{Beiträge zum Mathematikunterricht 2022. 56. Jahrestagung der Gesellschaft für Didaktik der Mathematik}},
  editor       = {{Goethe-Universität Frankfur, IDMI-Primar}},
  isbn         = {{978-3-95987-208-9}},
  pages        = {{1177–1180}},
  publisher    = {{WTM}},
  title        = {{{Bearbeitungsmuster von Studierenden im Umgang mit formalen Definitionen im Kontext konstanter Folgen}}},
  doi          = {{10.37626/GA9783959872089.0}},
  volume       = {{2}},
  year         = {{2023}},
}

@inbook{52812,
  author       = {{Krämer, Sandra and Liebendörfer, Michael}},
  booktitle    = {{Beiträge zum Mathematikunterricht 2022. 56. Jahrestagung der Gesellschaft für Didaktik der Mathematik}},
  editor       = {{Goethe-Universität Frankfur, IDMI-Primar}},
  isbn         = {{978-3-95987-208-9}},
  pages        = {{949–952}},
  publisher    = {{WTM}},
  title        = {{{Förderung prozeduraler Flexibilität durch Lernvideos mit interaktiven Aufgaben}}},
  doi          = {{10.37626/GA9783959872089.0}},
  volume       = {{2}},
  year         = {{2023}},
}

@article{52807,
  abstract     = {{Many preservice mathematics teachers lose their motivation during their first year at university. This phenomenon has been repeatedly described in recent years but is not yet fully under­stood. Since motivation may relate to different objects such as mathematics or teaching, we aim to qualitatively reconstruct different facets of the central motivational constructs of Situated-Expectancy-Value theory (intrinsic value, attainment value, utility value, cost, and expectancy of success) for preservice mathematics teachers. The analysis of longitudinal group interviews of 14 pre­service higher-secondary mathematic teachers from a German university revealed different objects of motivation (e.g., teaching mathematics, scientific mathematics, procedural mathematics, or proof-based mathematics) in preservice teachers' values and expectancy of success. Furthermore, relations between those values and expectancy of success were identified that played a significant role in preservice teachers’ motivational development over their first semester (e.g., relations of attain­ment value for scientific mathematics and psychological cost). Theoretical and practical implications towards a teaching-specific conceptualization of expectancy of success and values and value interventions are being discussed.}},
  title        = {{{Preservice teachers’ mathematics-related values and expectancy in the transition from school to university}}},
  doi          = {{10.48489/QUADRANTE.31191}},
  year         = {{2023}},
}

@article{48659,
  author       = {{Trienens, Dorte and Schöppner, Volker and Bunse, Robin}},
  journal      = {{Polymers 2023}},
  title        = {{{Determination of Correlations between Melt Quality and the Screw Performance Index in the Extrusion Process}}},
  doi          = {{https://doi.org/10.3390/polym15163427}},
  year         = {{2023}},
}

@article{48737,
  author       = {{Schöppner, Volker and Kleinschmidt, Dennis}},
  journal      = {{SPE Polymers}},
  pages        = {{1--17}},
  title        = {{{Improvement of a method for the correction of wall slip effects within the rheological measurements of filled rubber compounds}}},
  year         = {{2023}},
}

@inproceedings{34395,
  author       = {{Gräßler, Iris and Hieb, Michael and Roesmann, Daniel and Unverzagt, Marc}},
  editor       = {{Lohweg, Volker}},
  pages        = {{95--106}},
  publisher    = {{Springer Vieweg}},
  title        = {{{Creating Synthetic Training Data for Machine Vision Quality Gates}}},
  doi          = {{10.1007/978-3-662-66769-9_7 }},
  year         = {{2023}},
}

@inproceedings{52831,
  abstract     = {{Monitoring force-displacement or force-time curves is a widely used quality control technique in the field of mechanical joining. For online monitoring of self-piercing riveting, envelope curves are often used to define a tolerance zone for the measured setting force. However, the measurement uncertainty is typically not considered and the force curve of a joint can be wrongly rated as non-conform due to measurement errors and noise. In this article, we present a method for dynamical online filtering and uncertainty determination for noisy force curves using two types of Bayesian filters. The methodology is based on a Bayesian probability framework using a priori information for the process curve and sensor noise. To investigate the general feasibility of the method, force measurements with different noise levels are simulated and processed. The conformity is further assessed taking the uncertainty of the filtered signal into account. The results show that the Bayes filter technique is principally able to reduce noise for well-known characteristics of the process curve and sensor noise. Advantages over common filtering techniques, especially for experimental conditions with less known characteristics, are still to be verified. The methodology could be used in future for closed-loop controls to adapt process parameters dynamically. </jats:p>}},
  author       = {{Butzhammer, Lorenz and Kappe, Fabian and Meschut, Gerson and Hausotte, Tino }},
  booktitle    = {{Materials Research Proceedings}},
  issn         = {{2474-395X}},
  publisher    = {{Materials Research Forum LLC}},
  title        = {{{Dynamic conformity assessment for joining force monitoring using Bayes filters}}},
  doi          = {{10.21741/9781644902417-48}},
  year         = {{2023}},
}

@inproceedings{46974,
  author       = {{Gräßler, Iris and Hieb, Michael}},
  publisher    = {{CIRP }},
  title        = {{{Creating Synthetic Datasets for Deep Learning used in Machine Vision}}},
  year         = {{2023}},
}

@inproceedings{46219,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>To select design guidelines engineers have to identify relevant from a bewildering amount of design guidelines. In this paper, a rule-based method for selecting design guidelines for material circularity selection is presented. For this purpose, a generic Product Life Cycle model is detailed with regard to Multi Material cycles (gPLC-MM). The presented method is divided into four steps. Core of the presented method is the comparison of circular product strategies with product life phases and material recovery processes. Engineering activities and increments of the product architecture are used to identify design guidelines. The results show that through the material circularity-oriented design guideline identification method, the product architecture is designed for different processes and technologies, to recover materials. The method allows engineers to select guidelines in a more targeted and consolidated way in sustainability-friendly product engineering.</jats:p>}},
  author       = {{Gräßler, Iris and Hesse, Philipp}},
  booktitle    = {{Proceedings of the Design Society}},
  issn         = {{2732-527X}},
  keywords     = {{Sustainability, Circular economy, Conceptual design}},
  location     = {{Bordeaux, France}},
  pages        = {{1077--1086}},
  publisher    = {{Cambridge University Press (CUP)}},
  title        = {{{CONSIDERING ENGINEERING ACTIVITIES AND PRODUCT CHARACTERISTICS TO ACHIEVE MATERIAL CIRCULARITY BY DESIGN}}},
  doi          = {{10.1017/pds.2023.108}},
  volume       = {{3}},
  year         = {{2023}},
}

@inproceedings{52839,
  author       = {{Gräßler, Iris and Hieb, Michael and Roesmann, Daniel and Unverzagt, Marc and Pottebaum, Jens}},
  booktitle    = {{SSRN Electronic Journal}},
  issn         = {{1556-5068}},
  keywords     = {{General Earth and Planetary Sciences, General Environmental Science}},
  publisher    = {{Elsevier BV}},
  title        = {{{Virtual learning environment for teaching the handling of collaborative robots}}},
  doi          = {{10.2139/ssrn.4471596}},
  year         = {{2023}},
}

@inproceedings{46973,
  author       = {{Gräßler, Iris and Hieb, Michael}},
  booktitle    = {{Automation 2023}},
  pages        = {{765--776}},
  publisher    = {{VDI Verlag }},
  title        = {{{Cloud-Computing für die Verwendung synthetischer Trainingsdaten für Machine Vision Quality Gates}}},
  doi          = {{10.51202/9783181024195-765}},
  volume       = {{2419}},
  year         = {{2023}},
}

@article{52828,
  author       = {{Brüning, Florian and Kleinschmidt, Dennis and Petzke, J.}},
  issn         = {{https://doi.org/10.3390/polym15224406}},
  journal      = {{Polymers}},
  pages        = {{1--23}},
  title        = {{{Wall Slip-Free Viscosity Determination of Filled Rubber Compounds Using Steady-State Shear Measurements}}},
  doi          = {{https://doi.org/10.3390/polym15224406}},
  year         = {{2023}},
}

@article{52833,
  author       = {{Schöppner, Volker and Austermeier, Laura and Brüning, Florian and Oldemeier, Jan Philipp and Brandt, O.}},
  issn         = {{2190-4774}},
  journal      = {{EXTRUSION}},
  number       = {{8/2023}},
  pages        = {{56--59}},
  title        = {{{Recycling-Ansatz für mehrkomponentige Kunststoffprodukte durch thermische Verbundtrennung}}},
  year         = {{2023}},
}

@inproceedings{52840,
  author       = {{Schöppner, Volker and Arndt, Theresa}},
  booktitle    = {{76th Annual Assembly of the International Institute of Welding (IIW)}},
  title        = {{{Anvil-free ultrasonic welding for welding situations with one sided access}}},
  year         = {{2023}},
}

@article{52836,
  author       = {{Brüning, Florian and Kleinschmidt, Dennis and Petzke, J.}},
  journal      = {{Kunststoffland NRW Report}},
  number       = {{03/2023}},
  pages        = {{28--29}},
  title        = {{{Elastomerrecycling mittels Mikrowellenstrahlung}}},
  year         = {{2023}},
}

@article{52837,
  author       = {{Moritzer, Elmar and Kartelmeyer, S. and Kringe, R. and Jaroschek, C.}},
  journal      = {{Plastics Insights}},
  number       = {{8/2023}},
  pages        = {{44--48}},
  title        = {{{Conformal Cooling at Low Cost}}},
  year         = {{2023}},
}

@inproceedings{52816,
  abstract     = {{Manufacturing companies face the challenge of reaching required quality standards. Using
optical sensors and deep learning might help. However, training deep learning algorithms
require large amounts of visual training data. Using domain randomization to generate synthetic
image data can alleviate this bottleneck. This paper presents the application of synthetic
image training data for optical quality inspections using visual sensor technology. The results
show synthetically generated training data are appropriate for visual quality inspections.}},
  author       = {{Gräßler, Iris and Hieb, Michael}},
  booktitle    = {{Lectures}},
  keywords     = {{synthetic training data, machine vision quality gates, deep learning, automated inspection and quality control, production control}},
  location     = {{Nuremberg}},
  pages        = {{253--524}},
  publisher    = {{AMA Service GmbH, Von-Münchhausen-Str. 49, 31515 Wunstorf, Germany}},
  title        = {{{Creating Synthetic Training Datasets for Inspection in Machine Vision Quality Gates in Manufacturing}}},
  doi          = {{10.5162/smsi2023/d7.4}},
  year         = {{2023}},
}