TY - JOUR
TI - Dyeing behavior prediction of cotton fabrics in supercritical CO2
AU - Zhang Juan
AU - Zheng Lai-Jiu
AU - Su Yao-Hua
AU - Liu Miao
AU - Yan Jun
AU - Xiong Xiao-Qing
JN - Thermal Science
PY - 2017
VL - 21
IS - 4
SP - 1739
EP - 1744
PT - Article
AB - 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.