@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. }}, 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 = {{AbstractTo 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.}}, 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}}, } @inproceedings{46450, author = {{Gräßler, Iris and Preuß, Daniel and Brandt, Lukas and Mohr, Michael}}, booktitle = {{Proceedings of the Design Society}}, location = {{Bordeaux}}, pages = {{1595--1604}}, title = {{{Efficient Formalisation of Technical Requirements for Generative Engineering}}}, doi = {{10.1017/pds.2023.160}}, year = {{2023}}, } @inproceedings{52821, abstract = {{Due to economic and ecological framework conditions, a resource-saving utilization of raw materials and energy is becoming increasingly important in particular in the mobility sector. For the reduction of moving masses and the resources consumed, lightweight construction technologies are part of modern production processes in vehicle manufacturing, for example in the form of multi-material systems. Challenging in the manufacture of multi-material systems especially in view of changing supply chains is the variety of materials and geometries that bring conventional joining processes to their limits. Therefore, new processes are required, which can react versatile to process and disturbance variables. A widely used industrial joining process is semi-tubular self-piercing riveting, which is however a rigid process. To increase the versatility, the two newly established processes multi-range self-piercing riveting and tumbling self-piercing riveting are combined and the capabilities for targeted material flow control are united. Therefore, an innovative two-stage process based on the combination is introduced in this paper. The rivet is set with the multi-range self-piercing riveting process with an overlap of the rivet head and then formed by a tumbling process. Further, a specific adaptation of the tumbling strategy is used to investigate the possibility of reducing cracks in the rivet head. Thereby, different tumbling strategies are used and similar geometric joint formations are achieved to compare the results. }}, author = {{Wituschek, Simon and Kappe, Fabian and Meschut, Gerson and Lechner, Michael}}, booktitle = {{Materials Research Proceedings}}, issn = {{2474-395X}}, publisher = {{Materials Research Forum LLC}}, title = {{{Combination of versatile self-piercing riveting processes}}}, doi = {{10.21741/9781644902417-16}}, year = {{2023}}, } @article{52861, author = {{Gil, Oliver Fernández and Patrizi, Fabio and Perelli, Giuseppe and Turhan, Anni-Yasmin}}, journal = {{CoRR}}, title = {{{Optimal Alignment of Temporal Knowledge Bases}}}, doi = {{10.48550/ARXIV.2307.15439}}, volume = {{abs/2307.15439}}, year = {{2023}}, } @phdthesis{50449, abstract = {{The importance of fiber-reinforced plastics for lightweight construction applications is steadily increasing due to their outstanding weight-specific property values. However, a decisive disadvantage of these composite materials has so far been the high material and process costs, which is why fiber-reinforced plastics are almost exclusively used in small to medium-sized series. Optimization of manufacturing methods is of great importance to reduce the production cost. In this study, two concepts are proposed that can optimize vacuum assisted light resin transfer molding (VA-LRTM) further, leading to a possibility of fully automatic process. Conventional VA-LRTM methods are used to produce complex fiber-reinforced plastics (FRP) and hybrid components. Traditional molds used to produce components via VA-LRTM are sealed using polymer materials to prevent the leakage of matrix system. The seals undergo tremendous amounts of thermal, chemical, and mechanical loadings. Thus, sealings must be replaced in short intervals. In the current study, a concept where sealing is achieved by accelerating the curing of matrix system itself with the help of heating elements and catalysts resulting in a self-sealing approach is proposed. Another concern is mold surface contamination during component production. To address this, a modified automatic cleaning technique based on ultrasonic cleaning was proposed which can be integrated into the production line with minimum modification. Both the proposed concepts were validated and optimized using experiments, simulations, and analytical approaches by producing metal-FRP hybrid shafts.}}, author = {{Chalicheemalapalli Jayasankar, Deviprasad}}, keywords = {{fiber-reinforced plastics, resin transfer molding, composites}}, title = {{{Advances In RTM Manufacturing Of Metal-FRP Hybrids By Self-Sealing And In-Mold Cleaning Techniques}}}, year = {{2023}}, } @inproceedings{45831, author = {{Chalicheemalapalli Jayasankar, Deviprasad and Stallmeister, Tim and Lückenkötter, Julian and Tröster, Thomas}}, keywords = {{Compression Molding, Glass Mat Thermoplastics, Hybrid Brake Pedal}}, location = {{Trondheim, Norway }}, title = {{{In-Mold Assembly of Hybrid GMT-Steel Brake Pedals by Compression Molding}}}, year = {{2023}}, }