In this work, a traditional dyeing fixing process by steaming is studied, in order to improve both the coloration quality of the final obtained fabrics and the energy performances of the process. 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, results which can be translated in consistent energy and, consequently, economical savings if applied to industrial size equipment.

Energy savings in dyeing fixing process of cotton fabrics by steaming

Orrù, P. F.
;
Buonadonna, P.
2017-01-01

Abstract

In this work, a traditional dyeing fixing process by steaming is studied, in order to improve both the coloration quality of the final obtained fabrics and the energy performances of the process. 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, results which can be translated in consistent energy and, consequently, economical savings if applied to industrial size equipment.
2017
Cotton; DOE; Process optimization.; Steaming; Business and International Management; Management of Technology and Innovation; Organizational Behavior and Human Resource Management; Strategy and Management; Tourism, Leisure and Hospitality Management; Management Science and Operations Research; Industrial and Manufacturing Engineering; Safety, Risk, Reliability and Quality; Waste Management and Disposal
File in questo prodotto:
File Dimensione Formato  
Buonadonna_XXII-Summer-School-Paper.pdf

Solo gestori archivio

Tipologia: versione pre-print
Dimensione 370.04 kB
Formato Adobe PDF
370.04 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11584/246430
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact