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ISW Stuttgart at the SPS 2023

Meinrad Happacher,

On the way to Manufacturing-X

The Manufacturing-X initiative is driving forward the digitalization of supply chains in industry. But what does a factory that can handle this need to look like? The ISW at the University of Stuttgart provides answers to these questions.

How can Manufacturing-X become a reality? The exhibit of a 5-axis milling machine from the Stuttgart machine factory shows which technologies the industry needs to adopt for this.

© ISW Stuttgart

In order to bring Manufacturing-X from vision to implementation, technologies are needed to realize cross-company data spaces. It is particularly relevant that these are interoperable and freely accessible to all companies that want to be part of such a data ecosystem. Manufacturing-X can already be experienced today at the Stuttgart Machine Factory, an ISW research platform. Technologies such as the Eclipe Dataspace Connector (EDC), the Asset Administration Shell (AAS) and OPC UA are used here. EDCs are used to implement cross-company communication, including contract processing. The data sent is modeled according to the AAS standard of the Industrial Digital Twin Association (IDTA). In order to unleash the full effect of Manufacturing-X, end-to-end networking within the company must be realized in addition to communication between companies. ISW's answer to this is the software-defined factory. The production systems are also managed by the AAS and addressed via OPC UA. Virtualized controllers are used on the store floor, which run in so-called edge clouds, which in turn are connected to the machines in real time via TSN. In addition to established methods such as virtual commissioning, solutions based on mixed reality are used to safeguard the machines and visualize data. At the SPS trade fair, this will be demonstrated on four machines: two milling machines, a laser machine and a robot.

On the milling machines, the ISW will also show how the dynamic accuracy of machines can be increased by combining analytical models and machine learning to create so-called grey box models. Data plays a particularly important role in the development of such models, which can be shared and made available more easily using Manufacturing-X.
The laser machine, on the other hand, is characterized by CNC-based control and redundant axes, which ultimately enables simple data aggregation and dynamic processing.

The special feature of the robot on display is that it can not only be controlled from the Edge Cloud, but also regulated. This enables process-dependent adaptive switching between different controllers and the flexible deployment of these controllers. End-to-end digitalization and networking from the drive controller to the cloud can be seen at the trade fair stand.

ISW Stuttgart at the SPS 2023: Hall 6, Stand 340

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