• ISBN Print:
  • ISBN Online:
    978-81-970328-7-5
  • Conference Type:
    Hybrid
  • Conference Dates:
    May 20 - 21 , 2024
  • Venue:
    Mercure Rome Leonardo da Vinci Airport Via Portuense 2470, 00054 Fiumicino, Rome, Italy
  • Publisher:
    Eurasia Conferences

Complex Evaluation of Moisture Management Properties of Cotton-Antistatic Polyester Knitted Fabrics

Proceedings: Abstracts of the 5th World Conference on Chemistry and Chemical Engineering & 5th World Conference on Advanced Materials, Nanoscience and Nanotechnology

Virginija Daukantiene, Norina Asfand, and Stase Petraitiene

Abstract

The comfort of cotton-polyester knitted fabrics can be improved by adding polyester fibres to the fabric content. But the presence of synthetic fibres increases the accumulation of electrical charging on the fabric surface. Thus, the addition of carbon black to the fabric may influence the antistatic behaviour of synthetic textiles. Therefore, for this investigation, knitted materials of two knit patterns, such as 1×1 rib and half-Milano, were developed from yarns having different fiber blend ratios of cotton and polyester containing 0.6 wt. % carbon black. Subsequently, these fabrics were dyed, treated with hydrophilic softener, and antibacterial Polygiene VO-600 finish to increase fabric functionality. SEM analysis and standard test methods were applied to characterise the structure, mechanical, electrical, antibacterial, and air permeability behaviour of the fabrics. For the analysis of the moisture management properties of the investigated fabrics, the water absorption capacity, water absorption time, the relative water vapour permeability, and the relative water vapour resistivity were examined. MATLAB software was applied for linear regression analysis between the overall moisture management capability (OMMC) estimated using the M259 device and individual standard parameters, such as resistance and permeability, water absorption, and air permeability. The linear regression equation OMMC = a + b× X1 + c× X3, where X1 - relative water vapour permeability; X3 - air permeability, was found to be suitable for predicting complex moisture management strongly related to the thermophysical comfort of a particular garment.