Dyeing behavior prediction of cotton fabrics in supercritical CO2

Dyeing behavior prediction of cotton fabrics in supercritical CO2

This paper aims at establishing a model predicting the dyeing behavior of cotton fabrics in supercritical CO2 by using the multiple linear regression, where dyeing temperature, dyeing pressure, dyeing period, and dye concentration are selected as independent variables. The theoretical prediction sho...

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Veröffentlicht in:Thermal science 2017, Vol.21 (4), p.1739-1744
Hauptverfasser: Zhang, Juan, Zheng, Lai-Jiu, Su, Yao-Hua, Liu, Miao, Yan, Jun, Xiong, Xiao-Qing
Format: Artikel
Sprache:eng
Schlagworte:
Carbon dioxide
Cotton
Cotton fabrics
Dyeing
Dyes
Fabrics
Independent variables
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Zusammenfassung:This paper aims at establishing a model predicting the dyeing behavior of cotton fabrics in supercritical CO2 by using the multiple linear regression, where dyeing temperature, dyeing pressure, dyeing period, and dye concentration are selected as independent variables. The theoretical prediction shows good accuracy for color strength value and breaking strength of the dyed cotton fabrics. nema
ISSN:0354-9836
2334-7163
DOI:10.2298/TSCI160805062Z