In this work a traditional dyeing fixing process by steaming is studied, in order to improve the colour quality of the final obtained fabrics. Starting from the factor’s ranges currently in use by textile industrial operators, a full factorial design with two factors (steam flow rate and steaming time) and three levels is settled following the guidelines of Design of Experiments (DOE). A multiple response model characterized by different subset of regressors is proposed and the best one is chosen by means of Mallows’ Cp, R2 and R2(adj) and S criterions. The analysis puts in evidence that the obtained predictive models point out the high influence of the time spent by the fabric in the steaming chamber, while the one of the steam flow rate can be considered negligible. This fact leads to the opportunity to produce the best quality fabrics at the lowest level of steam flow rate, maintaining the steaming time under the traditionally employed one of 14 minutes, actually 11.1 minutes.

Quality assessment of dyeing fixing process on cotton fabrics

Buonadonna Pasquale
2017-01-01

Abstract

In this work a traditional dyeing fixing process by steaming is studied, in order to improve the colour quality of the final obtained fabrics. Starting from the factor’s ranges currently in use by textile industrial operators, a full factorial design with two factors (steam flow rate and steaming time) and three levels is settled following the guidelines of Design of Experiments (DOE). A multiple response model characterized by different subset of regressors is proposed and the best one is chosen by means of Mallows’ Cp, R2 and R2(adj) and S criterions. The analysis puts in evidence that the obtained predictive models point out the high influence of the time spent by the fabric in the steaming chamber, while the one of the steam flow rate can be considered negligible. This fact leads to the opportunity to produce the best quality fabrics at the lowest level of steam flow rate, maintaining the steaming time under the traditionally employed one of 14 minutes, actually 11.1 minutes.
2017
Cotton; Steaming; Dyeing; DOE; Process optimization
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11584/246469
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