Open AccessMultivariate regression analysis of the 3D composites with electroconductive properties for sensors
Author(s) -
Raluca Maria Aileni,
Silvia Albici,
Laura Chiriac,
Irina-Mariana Săndulache
Publication year - 2020
Publication title -
industria textilă
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.281
H-Index - 14
ISSN - 1222-5347
DOI - 10.35530/it.071.04.1767
Subject(s) - materials science , composite material , polyamide , polypropylene , graphite , textile , composite number , multivariate statistics , copper , metallurgy , computer science , machine learning
This work presents several aspects of the multivariate regression importance in the analysis of the parameters (dependent and independent variables), which characterize the 3D composite materials with electroconductive properties. Theexperimental part was developed by using fabrics from 100% cotton, 100% polyamide, and 100% polypropylene fabricsto obtain the electroconductive and electromagnetic properties based on classical technologies and 3D digital printingadvanced technology. The fabric was printed with paste containing zinc, copper, nickel, iron oxide II, III, silver, andGraphite microparticles content. Initially, the fabric has coated using the standard technologies implemented by padding(Flame Retardants), scraping, and 3D printing advanced technology for submission of the ESD filaments. For flameretardancy properties, the fabric has been impregnated in a solution of 50% Aflamit and dried at a temperature of 120°Cfor 3 minutes