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[ 1 ] Moll, P.; Schäfer, A.; Coutandin, S. & Fleischer, J. (2019), „Method for the Investigation of Mold Filling in the Fiber Injection Molding Process Based on Image Processing“. Procedia CIRP, Hrsg. CIRP, S. 156-161.
Fiber Injection Molding is an innovative process for manufacturing 3D fiber formed parts. Within the process fibers are injected in a special mold through a movable nozzle by an air stream. This process allows a resource efficient production of near net-shape long fiber-preforms without cutting excess. For the properties of the preforms the mold filling is decisive, but current state of the art lacks methods to monitor mold filling online. In this paper a system for monitoring the mold filling based on image processing methods is presented. Therefor a camera and backlighting has been integrated into a fiber injection mold. The detected filling level and fiber distribution is passed to the PLC of the fiber injection molding machine, which allows the operator to monitor the current mold filling state by means of a visual display. The image processing approach consists of preprocessing, binarization and segmentation. For the preprocessing and binarization several methods including a k-means algorithm, the Otsu thresholding method and a convolutional artificial neural network have been implemented and evaluated. Additionally the illumination of the mold has been investigated and found to have a very large influence on the quality of the results of all investigated methods. The results of the binarization are evaluated on the basis of ground truth images, where an absolute difference between labeled and binarized images is formed and the number of misinterpreted pixels is counted. Among the investigated methods, the method based on the Otsu threshold has been found to be the most efficient with regard to the achievable performance as well as to the correct detection of the current filling. The investigated approach allows the acquisition of more data about the mold filling process to improve models.

[ 2 ] Gönnheimer, P.; Kimmig, A.; Ehrmann, C.; Schlechtendahl, J.; Güth, J. & Fleischer, J. (2019), „Concept for the Configuration of Turnkey Production Systems“. Procedia CIRP, Hrsg. Dietrich, F. & Krenkel, N., S. 234-238.
Shorter product lifecycles and increasing individualization of products lead to the necessity for a reoccurring process, which includes the selection and configuration of production systems to provide a system that produces the product. Especially in fast developing countries like China, the offer for this knowledge can hardly supply the demand. In order to solve this, this paper presents a systematic approach in the form of a multi-stage process. In the first stage, a configuration logic maps product requirements with the properties and specifications of production machines together with equipment and matches them using a uniform data information model for both products and production modules. In the second stage, the turnkey production system is set up, commissioned and operated based on the Industrie 4.0 administration shell. The presented approach has been prototypically implemented on an online platform and demonstrated on a real production system using a new product that has been integrated into production.

[ 3 ] Silbernagel, R.; Wagner, R.; Häfner, B. & Lanza, G. (2019), „Qualitätsregelstrategien in Wertschöpfungsnetzwerken“, wt-online, Band 109, S. 802-806.
In Zeiten der Globalisierung und Digitalisierung führen Silodenken und Protektionismus zu Wettbewerbsnachteilen aller Partner eines Wertschöpfungsnetzwerkes. Ineffizienzen zeigen sich zum Beispiel durch hohen Ausschuss und geringe Margen der Zulieferer für die Produktion hochpräziser Produkte. Der Beitrag zeigt auf, wie Kollaboration in der Supply Chain mit unternehmensübergreifenden Qualitätsregelstrategien zur Steigerung der Qualität und Senkung der Qualitätskosten beiträgt.

[ 4 ] Dackweiler, M.; Hagemann, L.; Coutandin, S. & Fleischer, J. (2019), „Experimental investigation of frictional behavior in a filament winding process for joining fiber-reinforced profiles“, Composite Structures, S. 1-8. https://doi.org/10.1016/j.compstruct.2019.111436
Filament winding with a rotating ring allows the joining of hollow, fiber-reinforced profiles. To avoid fiber slippage and to be able to produce wound connections, the curvature of the winding path as well as the friction between mandrel and fibers must be considered. In this paper, the frictional behavior of dry carbon fiber tows is investigated in the context of filament winding for joining profiles. Friction experiments using a sled and filament-winding experiments are performed in order to examine the interrelationship between both setups. Furthermore, the influence of parameters, such as fiber orientation and contact surface, are analyzed. Regarding the frictional behavior of dry carbon fibers, it is found that the perpendicular slippage of the tow is governed by different mechanisms. Therefore, two different modes of slippage can be distinguished, depending on whether the tow’s limit of adhesion is dominated by the friction between the mandrel surface and the bottom layer of filaments, or by the coherence of filaments within the tow.

[ 5 ] Peukert, S.; Treber, S.; Balz, S.; Haefner, B. & Lanza, G. (2020), „Process model for the successful implementation and demonstration of SME-based industry 4.0 showcases in global production networks“, Production Engineering Research and Development, S. 1-14. https://doi.org/10.1007/s11740-020-00953-0
Small and medium-sized enterprises (SMEs), many of which operate as suppliers in global production networks (GPN), often times lack behind large enterprises in terms of Industry 4.0 implementation. For this reason, scientific contributions recommend SMEs to approach Industry 4.0 through pilot projects in which individual Industry 4.0 use cases are developed and implemented. Hence, to allow for a targeted development and implementation of Industry 4.0 use cases for SMEs in GPN, this paper proposes a five-step process model that seeks to make use of Industry 4.0 potentials in terms of increased product qualities and logistics performances within such networks. In contrast to existing process models, this paper follows a holistic approach that initially focuses on the identification of potential problems that impede increased product qualities and logistics performances. Building upon these problems, potential Industry 4.0 solutions are derived and transferred into use cases using a structured idea generation and selection process. After the successful implementation of the use case, the procedure is completed by the conversion of the use case into a showcase that might serve as a lighthouse project illustrating the potentials of Industry 4.0 for other production network partners. For testing its practicability, the procedure is exemplarily applied to the GPN of an automotive supplier.

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