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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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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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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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Bits of Stream-0D: LMS involvement in the project

Demetris Petrides, project engineer at the Laboratory for Manufacturing Systems & Automation of the University of Patras describes the activity of LMS for the Stream-0D project.

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