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Materiale Plastice
Cite as: Mater. Plast.
https://doi.org/10.37358/Mat.Plast.1964

OSIM Nr. R102356
ISSN Print 0025-5289
ISSN Online 2668-8220
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Materiale Plastice (Mater. Plast.), Year 2015, Volume 52, Issue 3,





Igor Roman, Sorin Ciortan, Iulian Gabriel Birsan Neural Network Based Analysis of Tribological Behaviour for an Epoxy-Aramid System


Abstract:
The aim of this paper is based on neural network model for tribological analyses of an Epoxy composite system. The created epoxy based composites with aramidic powders, were tribologically tested with diverse parameters in order to obtain the following properties: wear rate and friction coefficient. With all the studied tribological properties was created a Neural Network (NN) model. The created NN model can perform optimisations for concentration of aramidic powder in final used composites for different domains of applications. Keywords: epoxy composites, bloc on ring, friction coefficient, neural network analysis, optimisations



Issue: 2015 Volume 52, Issue 3
Pages:
Publication date: 2015/9/30
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