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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 and adaptive control: the road ahead

STREAM-0D successfully links physics-based models with data-driven models (DDMs) and provides a smart adaptive control system for the detection and prevention of defects. In this context, the work of LMS, which is one of the project partners, is crucial.

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Compressed solutions with tensor methods

The predictive models created by École Centrale de Nantes in the context of STREAM-0D project need to be used with ease by users despite their complexity. To do so, ECN uses special encodings able to reduce complexity and allow the models to run in real-time.

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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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Project communication and dissemination in Industry 4.0

The management of communication and dissemination for STREAM-0D allowed Day One, one of the project partners, to strengthen its experience in the field of Industry 4.0, which turned out be extremely dynamic.

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Reducing bearing defects with predictive analytics

Within STREAM-0D solution, Data-Driven Models (DDMs) represent a crucial element to predict potential product defects; CETRI’s work is dedicated to the definition of DDMs. This article describes the tests carried out on Fersa Bearings line.

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Big Data analytics reduce process flaws and save manufacturers’ time and money

Smart Manufacturing which is often equated with ‘Industry 4.0’ leverages the Big Data trend of advances in volume, velocity, and variety of data, and applies ‘Big Data analytics’ to make sense of it by improving existing analysis capabilities and providing new capabilities such as predictive analytics.

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Determining brake boosters’ output pressure through the HBubble station

The Hbubble station is now fully operational on ZF line. It represents the joint effort of ZF and ITAINNOVA and will help in the determination of the output pressure, one of the main parameters of brake boosters systems.

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Data management turns data into information

Thanks to the implementation of the STREAM-0D solution, Standard Profil experienced great improvements in data management: process data are now merged with product data, allowing a better control of the production. It is Standard Profil itself that, in this article, tells the story of this advancement.

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Traceability in bearings manufacturing

Fersa Bearings is implementing STREAM-0D solution in the production line. The article provides a detailed explanation of how defective bearings are identified along the production process.

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