Statistical analysis of the 3D electroconductive composites based on copper and graphene

Abstract

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), which characterize the composite materials with electroconductive properties. The experimental samples were obtained by using 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 on electroconductive properties of the textile materials obtained by conductive coating. The samples created were based on standard, and 3D digital printing technologies, more specifically on the textile surface, have deposited conductive paste containing copper microparticles and graphene filaments. The initial coating with conductive polymeric paste based Cu was developed by scraping of the paste on the fabric. Previously the 3D printing advanced technology by fused deposition modeling (FDM) of the Conductive Graphene filaments was used