Page 11 - MODCOMP Newsletter no. 6
P. 11
Newsletter, Volume 6
mechanical performance, and real-time charac- the optimum inclusion in nanomaterials rein-
terisation. Being representative, k-means, Ran- forcement by microstructure assessment. In this
dom Forrest (RF), Support Vector Machines direction, Artificial Intelligence can provide a
(SVM), k-Nearest Neighbours (KNN) are com- module for enabling fast, in-line, and real-time
mon Machine Learning (ML) algorithms used in metrological characterisation of nanoindenta-
multiclass classification problems for automated tion data.
classification of microstructures.
For more information, you can contact:
This work contributes to nanocomposites design Elias Koumoulos, IRES
and quality control associated with identifying
E-mail: epk@innovation-res.eu
Website: http://innovation-res.eu/
Prototype to perform electrophoretic
deposition (EPD) of carbon nanotubes (CNTs)
During the MODCOMP project, RISE SICOMP has weave (13 layers) for a hand brake lever follow-
successfully designed and developed a proto- ing the real product geometry via this prototype
type to perform electrophoretic deposition takes less than 30 min.
(EPD) of carbon nanotubes (CNTs) onto the sur- Hand brake lever demonstrators completely
face of carbon fibre weave reinforcement in a made of CFRP, using virgin CF weave and CNT-
continuous way, which leads to a uniform CNT deposited CF weave, have also been manufac-
deposit with reduced CNT raw material con- tured at SICOMP, following the geometry and
sumption and energy use as well as environmen- load-bearing requirement from Brembo. The
tal impact. To produce the CNT-deposited CF CFRP lever is ~ 40% lighter than the aluminum
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