Work

Dyeing behavior prediction of cotton fabrics in supercritical CO2

Year: 2017
Type: article
Abstract: 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.
Language: English
Open Access status: gold
Estimated APC paid: $161
OpenAlex ID: W2595035992
FWCI: 0.488
Cites: 14
Cited by: 9
Related to: 10