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Sparsity and machine learning for design and optimisation

To operate in real-time, complex simulation models such the ones implemented in STREAM-0D need to cut down computational times while saving the reliability of information. This is where the notion of ‘sparsity’ comes into play.

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Real-time simulation tools for off-line process optimization

Real-time simulation is a key component in Zero-Defect Manufacturing (ZDM), the new approach towards total quality management. Because quality is not just a matter of detecting non-compliant products, but reducing also their amount.

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Human-Machine Interface for Zero-Defects Manufacturing

Many manufacturing processes are still supervised and managed by humans, therefore a high-quality user experience is critical to obtain valuable information and interact with machines. STREAM-0D solution requires a dedicated interface able to manage multiple levels of information.

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Extracting critical dimensional information from images for cross sections of extruded rubber seals

Standard Profil makes sealing profiles for automotive manufacturers all around the world and it is one of STREAM-0D end-users. In this article Cetri, that in the project leads data fusion, data sparsification and data-driven modelling, provides a glimpse of the activities carried out on Standard Profil’s production line.

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Crucial steps for a (successful) technology transfer process

‘Technology transfer’ is a recurring concept when speaking of innovation, new technologies and how to transform brilliant ideas into real world applications.

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Using the 3Vs model to more effectively manage data

Cloud storage and computing, data acquisition and cloud-based communications for the interoperability of the different tools are essential components of the STREAM-0D solution. Within the project, IES provide tools to manage data more effectively.

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On the road to create the factory of the future

The idea of ‘Factory of the future’ is strongly connected with transformation. Factories transform production processes introducing intelligent sensors, gathering systems and triggers the need for more accurate data. Zero-Defect Manufacturing (ZDM) paradigm lays within the very concept of factory of the future.

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Detecting defects in brake boosters with machine learning

CETRI, that in STREAM-0D is in charge of data fusion, data sparsification and data-driven models, works closely with end-users to reduce the variability in the context of product performance so to better meet the requirements for suppliers.

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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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STREAM-0D: prediction and self-adaptation in the extrusion process

The extrusion of profiles is, for many reasons, a complex process: overcoming this complexity would result in a remarkable advancement in the manufacturing process. STREAM-0D project is tackling this challenge by implementing technologies able to monitor and control different aspects of the process. Standard Profil, one of STREAM-0D end-users, provides an insight on this subject.

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