Open Access

When wearing compressive garments, the tissue of the human body is altered in relation to its natural shape by the properties of the applied material and by the pattern construction used. To check the fit of garments, both construction and selected materials can be virtually simulated in 3D on avatars in corresponding CAD programs before fabrication. The software Blender allows the modelling of an avatar and to generate in respective to the different tissue zones with their specific properties to adjust them with soft body physics according to the testing of real soft tissue but the models in Blender are mainly using linear springs.

Since project managers still face problems in managing interorganizational R&D projects, it is a promising approach to manage these projects project-culturally-aware. However, an important prerequisite for a project-culture-aware management is that the involved individual organizations pursue a collaborative strategy. Therefore, our article provides a conceptual approach including a new tool, the Collaborative Iron Triangle, which supports both project sponsors and managers in different phases of the collaboration process to pursue a collaborative strategy in interorganizational R&D projects.

Sägen ist ein häufig unterschätzter spanender Prozess. Oft kommt das Sägen nur zum Zuschnitt von Rohteilen zum Einsatz. Bei der Bearbeitung von Leichtbauwerkstoffen werden damit jedoch Schichten in Toleranz direkt auf die montagefertigen Konturen zugeschnitten. Zur Steigerung von Qualität und Zuverlässigkeit des Fertigungsprozesses werden maschineninterne und sensorische Daten überwacht, ausgewertet und in den Prozess zurückgekoppelt. Daher kommt es auf die gezielte Kontrolle der entscheidenden Parameter mit möglichst wenigen und robusten Schnittstellen an. Im Rahmen eines ZIM-Kooperationsprojektes (Hochschule Reutlingen, Hema Frickenhausen, Pragmatic Minds Kirchheim) wurde dies für einen Bandsägeprozess erforscht und umgesetzt.

Silicon photonic micro-ring resonators (MRR) developed on the silicon-on-insulator (SOI) platform, owing to their high sensitivity and small footprint, show great potential for many chemical and biological sensing applications such as label-free detection in environmental monitoring, biomedical engineering, and food analysis. In this tutorial, we provide the theoretical background and give design guidelines for SOI-based MRR as well as examples of surface functionalization procedures for label-free detection of molecules. After introducing the advantages and perspectives of MRR, fundamentals of MRR are described in detail, followed by an introduction to the fabrication methods, which are based on a complementary metal-oxide semiconductor (CMOS) technology. Optimization of MRR for chemical and biological sensing is provided, with special emphasis on the optimization of waveguide geometry. At this point, the difference between chemical bulk sensing and label-free surface sensing is explained, and definitions like waveguide sensitivity, ring sensitivity, overall sensitivity as well as the limit of detection (LoD) of MRR are introduced. Further, we show and explain chemical bulk sensing of sodium chloride (NaCl) in water and provide a recipe for label-free surface sensing.

Eine automatisierte Nachbearbeitung würde die Additive Fertigung einen Schritt voran bringen. Doch nicht alle Geometrien eignen sich dafür. Wo die Grenzen bei SLS-Bauteilen liegen, wurde an der Hochschule Reutlingen untersucht.