Smart Foundry - Informationstechnische Unterstützung der Planung, Konstruktion und Fertigung von Formen für den Metallguss

Die Europäische Gießereiindustrie besteht zu einem großen Teil aus Klein- und Mittelständischen Unternehmen, die in Summe einen bedeutenden Anteil der produzierenden Industrie Europas bilden. Traditionell sind diese Unternehmen lediglich in einem geringen Umfang an Forschungs- und Entwicklungsaktivitäten beteiligt, was vielerorts den Einsatz veralteter Technologie und der damit verbundenen Prozesse zur Folge hat.

KNOWLEDGE-BASED MANUFACTURING STRATEGY AND METHODS FOR FOUNDRIES

The European foundry business is a traditional less RTD intensive industry which is dominated by SMEs and which forms a significant part of Europe’s manufacturing industry. The efficient design and manufacturing of cast components and corresponding tooling is a crucial success factor for these companies. To achieve this, information and knowledge around the design, planning and manufacturing of cast components needs to be accessible in a fast and structured way.

A General Solution Framework for Component-Commonality Problems

Component commonality - the use of the same version of a component across multiple products - is being increasingly considered as a promising way to offer high external variety while retaining low internal variety in operations. However, increasing commonality has both positive and negative cost effects, so that optimization approaches are required to identify an optimal commonality level. As components influence to a greater or lesser extent nearly every process step along the supply chain, it is not surprising that a multitude of diverging commonality problems is being investigated in literature, each of which are developing a specific algorithm designed for the respective commonality problem being considered. The paper on hand aims at a general framework which is flexible and efficient enough to be applied to a wide range of commonality problems. Such a procedure based on a two-stage graph approach is presented and tested. Finally, flexibility of the procedure is shown by customizing the framework to account for different types of commonality problems.

Eine neu entdeckte Zeichnung von Justus van Egmont

Zu den bemerkenswertesten Zeichnern aus dem Umkreis des für die Kunst seiner Zeit prägenden Peter Paul Rubens gehört dessen langjähriger Mitarbeiter Justus van Egmont. Als vor allem in Frankreich tätiger flämischer Künstler ließ er sich nicht bruchlos in die nationalistisch geprägten Kunstvorstellungen des 19. Jahrhunderts einfügen, deren Kanon bis heute fortwirkt. Mit der Vorstellung einer in Stuttgart befindlichen Zeichnung als Werk van Egmonts soll nicht nur deren Neuzuschreibung zur Diskussion gestellt, sondern auch die weiterführende Beschäftigung mit einem zu Unrecht vergessenen Künstler angeregt werden.

Registration of Sub-Sequence and Multi-Camera Reconstructions for Camera Motion Estimation

This paper presents different application scenarios for which the registration of sub-sequence reconstructions or multi-camera reconstructions is essential for successful camera motion estimation and 3D reconstruction from video. The registration is achieved by merging unconnected feature point tracks between the reconstructions. One application is drift removal for sequential camera motion estimation of long sequences. The state-of-the-art in drift removal is to apply a RANSAC approach to find unconnected feature point tracks. In this paper an alternative spectral algorithm for pairwise matching of unconnected feature point tracks is used. It is then shown that the algorithms can be combined and applied to novel scenarios where independent camera motion estimations must be registered into a common global coordinate system. In the first scenario multiple moving cameras, which capture the same scene simultaneously, are registered. A second new scenario occurs in situations where the tracking of feature points during sequential camera motion estimation fails completely, e.g., due to large occluding objects in the foreground, and the unconnected tracks of the independent reconstructions must be merged. In the third scenario image sequences of the same scene, which are captured under different illuminations, are registered. Several experiments with challenging real video sequences demonstrate that the presented techniques work in practice.

The Car Resequencing Problem with Pull-Off Tables

The car sequencing problem determines sequences of different car models launched down a mixed-model assembly line. To avoid work overloads of workforce, car sequencing restricts the maximum occurrence of labor-intensive options, e.g., a sunroof, by applying sequencing rules. We consider this problem in a resequencing context, where a given number of buffers (denoted as pull-off tables) is available for rearranging a stirred sequence. The problem is formalized and suited solution procedures are developed. A lower bound and a dominance rule are introduced which both reduce the running time of our graph approach. Finally, a real-world resequencing setting is investigated.