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Öğe Investigation and feed-forward neural network-based estimation of dyeing properties of air plasma treated wool fabric dyed with natural dye obtained from Hibiscus sabdariffa(John Wiley and Sons, 2022) Omerogullari Basyigit, Zeynep; Eyupoglu, Can; Eyupoglu, Seyda; Merdan, NigarIn the colouring processes of textile products, more environmentally friendlychemicals and finishing methods should be used instead of conventional onesthat harm the environment every day, so that alternative realistic ways to pro-tect nature, both academically and industrially, could be possible. Due to someinconveniences caused by synthetic dyes that are widely used today, in thisstudy, ultrasonic dyeing of wool fabric withHibiscus sabdariffawas carried outafter environmental-friendly air vacuum plasma application which increasedthe absorption of the dyes into the textile material. According to the perfor-mance results, colour strengths of the wool fabrics were increased significantly.Surface morphology analysis was carried out and etching effects of air vacuumplasma treatment were clearly seen on the micrographs of the treated woolfabrics. An environmental-friendly green process was achieved through thisstudy and it was concluded that vacuum air plasma treatment could be analternative green-process as a pretreatment to increase the dye up-take of natu-ral dyeing treatment. Moreover, in this study, a feed-forward neural network(FFNN) model was presented and used for predicting the dyeing properties(L,a,bandK/S) of samples. The experimental results showed that the pre-sented model achieves the regression values greater than 0.9 for all dyeingproperties. Consequently, it was considered that the proposed FFNN was suc-cessfully modelled and could be efficiently utilised for dyeing characteristics ofwool fabrics dyed with natural dye extracted fromHibiscus sabdariffaÖğe Natural dyeing of air plasma-treated wool fabric with Rubia tinctorum L. and prediction of dyeing properties using an artificial neural network(John Wiley and Sons Inc, 2023) Eyupoglu, Can; Eyupoglu, Seyda; Merdan, Nigar; Omerogullari Basyigit, ZeynepIn this study, the ecological dyeing process of wool fabrics was investigated. Wool fabric samples were treated with atmospheric pressure plasma-jet and corona discharge plasma to modify the surface to make the process sustainable and greener. The samples were dyed with the aqueous extract procured from the powdered roots of Rubia tinctorum L. (madder) using the ultrasonic-assisted method. Scanning electron microscopy and Fourier Transform–infrared analysis were performed to investigate the effect of plasma treatment on the physical and chemical properties of wool fibres. The effects of plasma treatment type, plasma treatment parameters and the duration of dyeing on colorimetric and fastness properties were investigated. The etching of the wool fibre surface and roughness after plasma treatment were proven with scanning electron microscopy images. The Fourier Transform–infrared spectra showed that no significant differences in the functional groups of wool fibre occurred after plasma treatment. The experimental results proved that plasma treatment parameters and dyeing time had an effect on the colorimetric and fastness properties of the samples. Furthermore, an artificial neural network model was proposed for estimating the dyeing properties of wool fabrics, namely, L, a, b, K/S, colour change, rubbing fastness (dry) and rubbing fastness (wet). The experimental results show that the proposed model achieves regression values greater than 0.97 for all dyeing properties. The proposed model is successful and can be efficiently used for estimating the dyeing characteristics of wool fabrics.