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Model-based manufacturing processes optimization

In an interconnected, smart factory the physical and the virtual space run in parallel to maximize process efficiency. STREAM-0D project is leading the way towards the next industrial revolution, thanks to the development and combined implementation of innovative technologies such as ROMs (Reduced Order Models).

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Real-time simulation for in-line process control

Detailed simulations alone are not sufficient to create an effective process control: in order to obtain really accurate prediction models of the production process running in real-time, ROMs must be fed also with offline real data coming from the plant.

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Artificial Intelligence makes brake boosters fit for the future

Car braking systems represent essential safety features for drivers, therefore they are subject to continuous optimization. ZF, which is one of the three end-users of the STREAM-0D project, implements ROMs and AI in its lines to keep braking actuation units features under control.

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Discrete manufacturing: model-based process optimization and control

The ways in which process manufacturing and discrete manufacturing are respectively controlled differ a lot. Dealing with discrete manufacturing, STREAM-0D requires the implementation of sophisticated analysis within the process. This activity is managed by STAM, which in this article for the Bits Of STREAM-0D inititative, outlines the features of such approach. STAM is an Italian …

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Reduced Order Models, augmented knowledge

For this new Bits Of STREAM-0D episode, the Institut de Calcul Intensif (ICI) of the École Centrale de Nantes explains why, in the last decade, Reduced Order Modeling (ROM) has emerged as a key tool in simulation-based engineering sciences.

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