Comprehensive analysis and modeling of dye diffusion within fibers in supercritical CO2 for sustainable textile dyeing

IF 4.4 3区 工程技术 Q2 CHEMISTRY, PHYSICAL
Shihan Wang, Tong Feng, Rongzhen Wang, Lin Li, Kunpeng Yu, Haixin Sun, Jianzhong Yin
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引用次数: 0

Abstract

The textile industry is widely recognized as a high-pollution sector, with conventional dyeing processes marked by excessive water usage, high pollutant discharge, and low efficiency. Supercritical CO2 dyeing has garnered attention for its environmental benefits; however, its industrial application remains limited due to inefficiencies, primarily governed by the diffusion coefficient of dyes within the fiber matrix. This study compiles and analyzes existing literature to systematically examine how temperature, pressure, dye type, and fiber type influence the diffusion coefficient. Results indicate that higher temperatures significantly enhance diffusion, consistent with the Arrhenius equation. Pressure can promote diffusion through CO2 plasticization of fibers, but its effect is complex and condition-dependent. Low-molar-mass dyes exhibit better diffusion, and fibers with lower crystallinity—such as PMIA—are more conducive to dye penetration. A multi-variable diffusion coefficient model was developed based on the Arrhenius equation and free volume theory. All model fitting errors were within 10 %, indicating strong descriptive accuracy within the studied parameter window. However, the model is currently limited to 14 data points covering four dyes, and within a temperature range of 353 K to 413 K and a pressure range of 15 MPa to 25 MPa. This model offers a theoretical foundation for optimizing supercritical CO2 dyeing parameters and may be extended to a broader range of fiber-dye systems in future applications.
超临界CO2环境下染料在纤维内扩散的综合分析与建模
纺织工业是公认的高污染行业,传统的染色工艺用水过多,污染物排放高,效率低。超临界CO2染色因其环境效益而备受关注;然而,由于效率低下,其工业应用仍然受到限制,主要受纤维基质内染料扩散系数的限制。本研究对已有文献进行整理和分析,系统考察温度、压力、染料类型和纤维类型对扩散系数的影响。结果表明,较高的温度显著促进了扩散,符合Arrhenius方程。压力可以促进CO2在纤维中的扩散,但其影响是复杂的,且依赖于条件。低摩尔质量的染料具有更好的扩散,而结晶度较低的纤维(如pmia)更有利于染料渗透。基于Arrhenius方程和自由体积理论建立了多变量扩散系数模型。所有模型拟合误差都在10 %以内,表明在研究参数窗口内具有很强的描述准确性。然而,该模型目前仅限于14个数据点,涵盖四种染料,温度范围为353 K至413 K,压力范围为15 MPa至25 MPa。该模型为优化超临界CO2染色参数提供了理论基础,并可在未来的应用中扩展到更广泛的纤维染料体系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Supercritical Fluids
Journal of Supercritical Fluids 工程技术-工程:化工
CiteScore
7.60
自引率
10.30%
发文量
236
审稿时长
56 days
期刊介绍: The Journal of Supercritical Fluids is an international journal devoted to the fundamental and applied aspects of supercritical fluids and processes. Its aim is to provide a focused platform for academic and industrial researchers to report their findings and to have ready access to the advances in this rapidly growing field. Its coverage is multidisciplinary and includes both basic and applied topics. Thermodynamics and phase equilibria, reaction kinetics and rate processes, thermal and transport properties, and all topics related to processing such as separations (extraction, fractionation, purification, chromatography) nucleation and impregnation are within the scope. Accounts of specific engineering applications such as those encountered in food, fuel, natural products, minerals, pharmaceuticals and polymer industries are included. Topics related to high pressure equipment design, analytical techniques, sensors, and process control methodologies are also within the scope of the journal.
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