Bridges 5.0 partner Dr Alexios Papacharalampopoulos (University of Patras) presented two papers at the Symposium on 16^th October 2024: Digital Twins in manufacturing processes under Industry 5.0

Digital Twins are virtual models of manufacturing processes that can help improve efficiency and performance. They can optimise operations in real time and provide feedback or even control the processes directly. Their ability to adapt makes them useful for handling uncertainty by estimating certain parameters or managing processes in a reliable way.

However, with the rise of Industry 5.0 – a new phase of industrial innovation—it is important to explore how this will impact the use of Digital Twins. Industry 5.0 focuses more on human involvement, aiming to include and empower people, while also emphasizing sustainability and resilience.

This study looks at how Industry 5.0 could influence the role of Digital Twins by considering these new priorities. To better understand this, we use a hypothetical example of optimising 3D printing (also called Additive Manufacturing) and examine how it connects to other manufacturing tasks.

Towards Explicable AI in systemic identification of surrogate models of manufacturing processes

Surrogate models are useful tools in digital manufacturing because they act as a bridge between the physical processes and real machines. However, estimating certain important settings, called (hyper)parameters, can be challenging. This study looks at how Artificial Intelligence (AI) can help automate this task.

We focus on a specific type of model, called ARX, where the parameters are directly connected to the physical aspects of the process. AI techniques are then applied in a way that allows us to better understand how the models relate to the actual physics of the process.

The results show both the strengths and limitations of AI in such applications. They also highlight how AI compares to more traditional methods of handling manufacturing process dynamics.

For more information, please contact Dr Alexios Papacharalampopoulos.