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 |
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| container_title | Thermal science |
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| creator | Zhang, Juan Zheng, Lai-Jiu Su, Yao-Hua Liu, Miao Yan, Jun Xiong, Xiao-Qing |
| description | 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.
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| doi_str_mv | 10.2298/TSCI160805062Z |
| format | Article |
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The theoretical prediction shows good accuracy for color strength value and breaking strength of the dyed cotton fabrics.
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| source | Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Free Full-Text Journals in Chemistry |
| subjects | Carbon dioxide Cotton Cotton fabrics Dyeing Dyes Fabrics Independent variables |
| title | Dyeing behavior prediction of cotton fabrics in supercritical CO2 |
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