@article{aileni_multivariate_2020,
	title = {Multivariate regression analysis of the {3D} composites with electroconductive properties for sensors},
	volume = {71},
	issn = {12225347},
	url = {http://revistaindustriatextila.ro/images/2020/4/006%20RALUCA%20MARIA%20AILENI_Industria%20Textila%204_2020.pdf},
	doi = {10.35530/IT.071.04.1767},
	abstract = {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. The
experimental part was developed by using fabrics from 100\% cotton, 100\% polyamide, and 100\% polypropylene fabrics
to obtain the electroconductive and electromagnetic properties based on classical technologies and 3D digital printing
advanced technology. The fabric was printed with paste containing zinc, copper, nickel, iron oxide II, III, silver, and
Graphite 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 flame
retardancy properties, the fabric has been impregnated in a solution of 50\% Aflamit and dried at a temperature of 120°C
for 3 minutes},
	number = {04},
	urldate = {2020-09-14},
	journal = {Industria Textila},
	author = {Aileni, Raluca Maria and Albici, Silvia and Chiriac, Laura and Săndulache, Irina-Mariana},
	month = aug,
	year = {2020},
	pages = {334--339}
}