Statistical modeling of the properties of graphene ink-treated cotton yarns using the site reduction technique

Abstract

In this research, conductive cotton yarns were produced by processing them with conductive graphene ink through dipping and drying technology. in

which the cotton yarn was dipped into a solution of graphene oxide prepared in the chemical oxidation way, and then directly reduced the graphene oxide on the strands through the hydrazine solution in a bath of ultrasonic waves, the factors affecting the reduction process were studied. (time, concentration, temperature), as the graphene oxide-treated yarns directly reduced electrically by measuring the electrical resistance of the treated yarns, Statistical modelling to study the cross-effect of these factors and the importance of each factor's impact on the quality of the reduction process on the yarns, as it was shown that changing the terms of the reduction process significantly affects the electrical properties of the graphene produced on the cotton yarn and the structural and optical properties of the yarns processed were diagnosed through the scanning electron microscope (SEM) and Energy-dispersive X-ray spectroscopy(ED_S), and the thermal behavior of graphene-treated yarn was also studied by applying an voltage it (20) Volt generated temperature was 32 c^O and studied parameters affecting thermal behavior, in order to include graphene-treated yarns in smart fabrics used in electrical and thermal applications