TY - JOUR TI - Statistical analysis of the 3D electroconductive composites based on copper and graphene AU - AILENI, RALUCA MARIA AU - CHIRIAC, LAURA AU - TOMA , DOINA T2 - Industria Textila AB - This paper presents several aspects of the multivariate analysis of electroconductive composite based on Copper (Cu)and Graphene. The analysis was developed by using the parameters (dependent and independent variables), whichcharacterize the composite materials with electroconductive properties. The experimental samples were obtained byusing 100% cotton fabrics with different structures. The goals followed through the variation of the fabric structures (e.g.,plain weave, twill, panama, ribs) were to investigate if the fabric structure or ratio has or not influence onelectroconductive properties of the textile materials obtained by conductive coating. The samples created were basedon standard, and 3D digital printing technologies, more specifically on the textile surface, have deposited conductivepaste containing copper microparticles and graphene filaments. The initial coating with conductive polymeric pastebased Cu was developed by scraping of the paste on the fabric. Previously the 3D printing advanced technology byfused deposition modeling (FDM) of the Conductive Graphene filaments was used. DO - 10.35530/IT.072.02.20207 VL - 72 IS - 2 SP - 149 EP - 155 LA - English SN - 1222-5347 UR - http://www.revistaindustriatextila.ro/images/2021/2/06%20MARIA%20AILENI%20Industria%20Textila%202_2021.pdf ER -