聚酯纤维
超临界二氧化碳
超临界流体
材料科学
复合材料
环境友好型
扫描电子显微镜
制浆造纸工业
傅里叶变换红外光谱
工艺工程
化学工程
化学
有机化学
工程类
生态学
生物
作者
Li-Yuan Guan,Meiwu Shi,Jia‐Jie Long
标识
DOI:10.1016/j.jcou.2022.102316
摘要
Traditional finishing methods for textiles manufacture usually involve burdensome processes and heavy pollutions, which can no longer meet the green and sustainable developments of modern textile industry. In this work, a green and eco-friendly method was developed for the stain proofing or namely the tri-proofing (water-, oil- and soil-proofing) finishing of polyester with one-step process in supercritical fluid of carbon dioxide (SCF-CO2). The effects of the dosage of tri-finishing agent, system temperature, pressure and duration on the tri-proofing performances of polyester were investigated, and a mechanism for supercritical tri-proofing finishing was further supposed. The achieved results demonstrate that the developed supercritical one-step process for tri-proofing finishing has good feasibility for preparing functional polyester fabric, and satisfactory processing performances and efficiency were obtained along with 4-grade or above for water- and soil-proofing, and 6-grade for oil-proofing on polyester. Moreover, the surface morphology and components of the polyester were effectively modified via the supercritical tri-proofing finishing, which was verified by SEM (Scanning electron microscope) and FT-IR (Fourier-transform infrared) analysis. Additionally, in comparison with the control substrate, an ignorable influence on the air permeability of the finished polyester was also available along with a comparable washing fastness. The repetitive washing had no considerable affect on water- and soil-proofing performances, while the oil-proofing grade slightly dropped. All results distinctly show that the supercritical tri-proofing finishing not only affords a promising strategy for imparting polyester with durable and multifunctional performances, but also is a powerful way with eco-friendly characteristics involving broad application markets.
科研通智能强力驱动
Strongly Powered by AbleSci AI