Supercritical CO2 dyeing for nylon, acrylic, polyester, and casein buttons and their optimum dyeing conditions by design of experiments

Bai, Tierong; Kobayashi, K.; Tamura, Kazuhiro; Yan, Jun; Zheng, Laijiu

doi:10.1016/j.jcou.2019.05.013

Cited by 36 publications

(13 citation statements)

References 34 publications

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“…110 Another recent application is the SFD of buttons made of different materials. 111 Even though buttons are non-textile materials, this application may have potential interest for the textiles industry. The authors investigated the SFD of nylon, acrylic, polyester and casein buttons with CI Disperse Red 22.…”

Section: Dyeing Of Non-textile Materialsmentioning

confidence: 99%

“…By using the Taguchi design-of-experiments technique, the optimal working conditions for the different materials were evaluated. 111…”

Section: Dyeing Of Non-textile Materialsmentioning

confidence: 99%

“…Another recent application is the SFD of buttons made of different materials 111 . Even though buttons are non‐textile materials, this application may have potential interest for the textiles industry.…”

Section: Supercritical Fluid Dyeing Of Non‐textile Materialsmentioning

confidence: 99%

See 2 more Smart Citations

Recent advances in supercritical fluid dyeing

Banchero

2020

Coloration Technology

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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.

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Section: Dyeing Of Non-textile Materialsmentioning

confidence: 99%

“…By using the Taguchi design-of-experiments technique, the optimal working conditions for the different materials were evaluated. 111…”

Section: Dyeing Of Non-textile Materialsmentioning

confidence: 99%

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Recent advances in supercritical fluid dyeing

Banchero

2020

Coloration Technology

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“…where K is the absorption coefficient of light, S is the scattering coefficient of light and R was the surface reflectance [1], respectively. Due to different dimensions and greater magnitude of value in the input variables, to (scaling) the values of the input variables within a uniform range (e.g., 0-1) was necessary before training the neutral network.…”

Section: Data Collection and Pre-processingmentioning

confidence: 99%

“…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

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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.

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Adhesive Hybrid Interpenetrating Network Hydrogel‐Based Detector to Monitor Solar Radiation Dose Required for Plant Growth

Shi²,

Ji³

et al. 2022

Adv Eng Mater

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An adhesive and visualized hydrogel‐based detector is designed to monitor the solar radiation dose required for plant growth by the discoloration of methylene blue (MB) under sunshine. The detector is based on hybrid hydrogels prepared from photoinitiated polymerization. The combination of polypropylene (PP) fabrics acting as a substrate and the photoinitiated polymerization on the graphitic carbon nitride (g‐C3N4) surface enables a smaller thickness and a more homogenous distribution of the g‐C3N4 nanosheets. Thus, the hybrid interpenetrating network (IPN) hydrogel on the PP fabrics with a thickness of 1.5 mm presents an improved photodegradation capability. In addition, better mechanical properties and lower weight of the hydrogel‐based detector are achieved by the presence of the PP fabrics. In combination with the stickiness from a polyurethane resin acting as glue, the obtained detector can be easily pasted on the leaf of a plant as demonstrated for the example of Epipremnum aureum. The radiation dose exposed to the leaves can be accurately traced from the change in color of the detector to ensure a sufficient radiation for plant growth and avoid possible burn to the leaves under sunshine.

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Supercritical CO2 dyeing for nylon, acrylic, polyester, and casein buttons and their optimum dyeing conditions by design of experiments

Cited by 36 publications

References 34 publications

Recent advances in supercritical fluid dyeing

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

Adhesive Hybrid Interpenetrating Network Hydrogel‐Based Detector to Monitor Solar Radiation Dose Required for Plant Growth

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