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[ 1 ] Förster, F.; Ballier, F.; Coutandin, S.; Defranceski, A. & Fleischer, J. (2017), „Manufacturing of Textile Preforms with an Intelligent Draping and Gripping System“, Procedia CIRP, S. 39-44.
Abstract:
In this paper, a novel pixel-based draping and gripping unit will be presented. To monitor and control the draping during the forming of a stack of semi-finished textiles, the pixels are equipped with integrated sensors. With these sensors, it is possible to adjust the tangential sliding and the normal holding force at each pixel. The sensor principle is based on the electrical conductivity of carbon fibers. Electrodes inside the gripping system allow a conclusion to the gripping force between the gripper and the carbon textile. Therefore, the gripping force can be adjusted to the special boundary conditions during the draping process.

[ 2 ] Fisel, J. & Lanza, G. (2016), „Planning approach for a changeable multi model assembly system“. Electric Drives Production Conference, 30.11.2016-01.12.2016, Nürnberg, Deutschland, Proceedings of 6th international Electric Drives Production Conference , Hrsg. EDPC, S. 212-216.
Abstract:
The overall market trend depicts an increasing demand for electric or hybrid vehicles. This demand cannot be predicted precisely because of volatile influencing factors. Automotive companies are therefore confronted with the challenge of rapidly adapting their production systems accordingly. An approach to handle the variety of models within final assembly is to establish mixed model assembly lines. The subsequent integration of vehicles using alternative propulsion concepts into single model assembly lines stands as a great challenge in final assembly. Within this paper, an approach for the greenfield planning of assembly lines using the concept of changeability is presented. The approach focusses on the integration of a new propulsion concept in an existing assembly line. Hereto, the line allocation problem is solved for a fixed production volume ratio using an optimization algorithm. Thereafter, the production volume ratios are varied in order to identify an optimal solution for line balancing and assembly equipment.

[ 3 ] Fisel, J.; Arslan, A. & Lanza, G. (2017), „Changeability focused planning method for multi model assembly systems in automotive industry“. CIRP Conference on Manufacturing Systems, 03.05.2017-05.05.2017, Taichung, Taiwan, Manufacturing Systems 4.0 – Proceedings of the 50th CIRP Conference on Manufacturing Systems, Hrsg. CIRP CMS, S. 515-520.
Abstract:
Series vehicle production is designed to produce effectively at a defined number of vehicles per period. Regarding market forecasts the overall market trend depicts an increasing demand for electrified vehicles within an uncertain propulsion concept vehicle mix. This demand cannot be predicted precisely because of volatile influencing factors such as governmental subsidies. Automotive companies are therefore confronted with the challenge of rapidly adapting their production systems accordingly. An approach to handle the variety of models within vehicle final assembly is to establish mixed model assembly lines. Since single model assembly lines are optimized for a specific production volume of one model, the subsequent integration of vehicles using alternative propulsion concepts into single model assembly lines stands as a great challenge in final assembly. Moreover, producing with optimal configured assembly systems after integrating an additional model is not ensured further on. To address this challenge, an approach for the greenfield planning of assembly lines using the concept of changeability is presented within this paper. The presented approach offers a new method to cover uncertainty regarding the future propulsion concept mix of assembly lines. This affects the initial setup of an assembly line concerning the line balancing and assembly equipment as possible subsequent changes to the assembly system increase costs. The target conflict is to minimize changes to the assembly system due to the integration of further propulsion concepts while ensuring cost efficient assembly. Hereto, the line balancing problem is solved for a fixed production volume ratio using a developed optimization algorithm. Thereafter, the production volume ratios are varied in order to identify an optimal solution for line balancing and assembly equipment. The uncertainty of volume ratios is considered in the integrated costs calculation module.

[ 4 ] Peter, M.; Halwas, M.; Schigal, W. & Fleischer, J. (2017), „Entwicklung eines serienflexiblen Wickelverfahrens“. E-MOTIVE, 5.9.2017, Hannover, Deutschland, 9. Expertenforum Elektrische Fahrzeugantriebe, Hrsg. Forschungsvereinigung Antriebstechnik e.V. (FVA), S. 91-94.
Abstract:
Die Anforderungen an E-Motoren für den automobilen Einsatz unterscheiden sich von den industriellen deutlich. Für automobile Anwendungen besteht noch sehr großer Optimierungsbedarf. Hierbei gilt es, unter anderem den Wirkungsgrad, die Leistungsdichte und das -gewicht weiter zu verbessern. Im Stator des E-Motors wird das magnetische Drehfeld erzeugt. Diese Komponenten bestimmen daher in hohem Maße sowohl die Leistungs-, als auch die Qualitätskenngrößen und werden im Folgenden näher betrachtet. Aufgrund der höheren Motordrehzahlen, die bei der Anwendung in vollelektrischen oder parallel-hybriden Fahrzeugen auftreten, hat sich der Vollblechschnitt als vorteilhaft erwiesen. Aufgrund der größeren Relevanz für künftige E-Antriebe fokussiert sich die hier vorgestellte Arbeit auf neue Wickelverfahren für einen Vollblechschnittstator zur Verbesserung der Qualitäts- und Leistungskenngrößen. Ziel ist hierbei die Reduktion der Kupferverluste, die durch die Wicklungsart beeinflusst wird.

[ 5 ] Kuhnle, A.; Kuttler, M.; Dümpelmann, M. & Lanza, G. (2017), „Intelligente Produktionsplanung und -steuerung“, wt Werkstattstechnik online, S. 1-5.
Abstract:
Moderne Produktionstechnik liefert schon heute eine Vielzahl an Prozess- und Produktdaten. Diese werden häufig nur zur effizienten Steuerung von Maschinen verwendet. Weitergehende Ansätze des Advanced Analytics finden v.a. bei kleinen und mittleren Unternehmen (KMU) bisher kaum Anwendung. Dieser Beitrag zeigt auf und diskutiert generelle Einsatzmöglichkeiten und Potentiale von Advanced Analytics in Bezug auf ein effizientes Produktionsmanagement.