Water free dyeing of polypropylene fabric under supercritical carbon dioxide and comparison with its aqueous analogue

Elmaaty, Tarek Abou; El‐Taweel, F. M. A.; Elsisi, Hanan; Okubayashi, Satoko

doi:10.1016/j.supflu.2018.05.018

Cited by 39 publications

(19 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the case of dying with dye 7 , the maximum color strength K/S value was obtained at a 6% concentration of the dye. This may be attributed to the fact that more amount of dyes were diffused into fabrics with increasing dye concentration . It can be concluded from Figure and the results in Table that the dispersed dye 7 has good affinity to fabric than others and the K/S value was increased by increasing the dye concentration to 6%.…”

Section: Resultsmentioning

confidence: 83%

Synthesis of Some New Thiazolo[3,2‐a]pyrimidine Derivatives and Their Applications as Disperse Dyes

Elmaaty

El‐Taweel

Abdeldayem

et al. 2019

Journal of Heterocyclic Chem

View full text Add to dashboard Cite

A series of novel thiazolo[3,2‐a]pyrimidine derivatives were synthesized by using β‐ketoanilides 1a–c as starting materials and as key intermediates for preparation of new pyrimidinecompounds 3a–e and fused heterocyclic pyrimidine derivatives 5a–c. The new compounds were transformed to disperse dyes 6a,b and 7. The chemical structures were elucidated by spectroscopic and elemental analyses and found to be in good agreement with the proposed structures. The versatility of compounds 6a,b and 7 for textile dyeing as disperse dyes was reported. The synthesized dyes were applied to polyester fabrics by using high temperature dyeing method at 120°C. The dye uptake expressed as color strength (k/s) of the dyed samples has been measured. Moreover, the color strength was examined in detail. In addition, the position of color in CIELAB coordinates (L*, a*, b*, h, and C*) was assessed. The color fastness of the dyed samples gave excellent results for washing and rubbing; however, the light fastness was moderate. Raman spectra of dyed samples unequivocally excluded ring dyeing and found to match with the proposed structures.

show abstract

Section: Resultsmentioning

confidence: 83%

Synthesis of Some New Thiazolo[3,2‐a]pyrimidine Derivatives and Their Applications as Disperse Dyes

Elmaaty

El‐Taweel

Abdeldayem

et al. 2019

Journal of Heterocyclic Chem

View full text Add to dashboard Cite

show abstract

“…49 PP is a highly crystalline polymer with a non-polar aliphatic structure that does not contain any sites to which conventional water-soluble dye may bind. 49 For this reason, SFD of PP with different disperse dyes was investigated in recent years. 9 Successful coloration was obtained even though the light fastness was generally low.…”

Section: Dyeing Of Other Synthetic Polymersmentioning

confidence: 99%

“…Moreover, the mechanical properties of PP were preserved after the supercritical treatment while a 25%-90% breakdown was observed after processing the fabric with the water medium. 49 Recently, Abou Elmaaty et al 51 continued to investigate the SFD of PP fabrics both at laboratory and semi-pilot scale with novel azo-based disperse dyes. The new dyes are multifunctional azopropanenitriles and azo amino pyrazole compounds and have again been employed both with the conventional aqueous process and the supercritical one.…”

Section: Dyeing Of Other Synthetic Polymersmentioning

confidence: 99%

Recent advances in supercritical fluid dyeing

Banchero

2020

Coloration Technology

View full text Add to dashboard Cite

Supercritical fluid dyeing is a promising technology that was first proposed in the 1980s to overcome the high energy demand and water consumption of conventional textile coloration. This review covers its advances from 2014 to the present, from the successful industrial implementation of supercritical fluid dyeing of polyethylene terephthalate to the most recent results obtained for the dyeing of other synthetic and natural textiles. Specific attention is also dedicated to the most innovative applications of supercritical fluid dyeing such as the functionalisation of textile and non-textile substrates, which may give rise to the development of other sustainable processes or novel advanced materials in the near future.

show abstract

“…With numerous advantages compared with conventional water dyeing, such as eliminating effluent discharge, saving water resources and preserving energy, the supercritical carbon dioxide (SC-CO 2 ) dyeing process is considered a green and energy-saving process in terms of sustainable development and being environmentally friendly [1][2][3][4][5]. However, in order to promote the application of supercritical fluid dyeing (SFD), it is necessary to establish the prediction model of the dyeing effect in SC-CO 2 in different working conditions such as dyeing time, temperature, pressure, dyestuff type and carrier type.…”

Section: Introductionmentioning

confidence: 99%

Establishment of the Predicting Models of the Dyeing Effect in Supercritical Carbon Dioxide Based on the Generalized Regression Neural Network and Back Propagation Neural Network

Zhang

Sun

et al. 2020

Processes

View full text Add to dashboard Cite

With the growing demand of supercritical carbon dioxide (SC-CO2) dyeing, it is important to precisely predict the dyeing effect of supercritical carbon dioxide. In this work, Generalized Regression Neural Network (GRNN) and Back Propagation Neural Network (BPNN) models have been employed to predict the dyeing effect of SC-CO2. These two models have been constructed based on published experimental data and calculated values. A total of 386 experimental data sets were used in the present work. In GRNN and BPNN models, two input parameters, such as temperature, pressure, dye stuff types, carrier types and dyeing time, were selected for the input layer and one variable, K/S value or dye-uptake, was used in the output layer. It was found that the values of mean-relative-error (MRE) for BPNN model and for GRNN model are 3.27–6.54% and 1.68–3.32%, respectively. The results demonstrate that both BPNN and GPNN models can accurately predict the effect of supercritical dyeing but the former is better than the latter.

show abstract

Water free dyeing of polypropylene fabric under supercritical carbon dioxide and comparison with its aqueous analogue

Cited by 39 publications

References 12 publications

Synthesis of Some New Thiazolo[3,2‐a]pyrimidine Derivatives and Their Applications as Disperse Dyes

Synthesis of Some New Thiazolo[3,2‐a]pyrimidine Derivatives and Their Applications as Disperse Dyes

Recent advances in supercritical fluid dyeing

Establishment of the Predicting Models of the Dyeing Effect in Supercritical Carbon Dioxide Based on the Generalized Regression Neural Network and Back Propagation Neural Network

Contact Info

Product

Resources

About