Development of a new neural network model to predict the effect of Esparak dye concentration and pH of dye bath on the rate of Extraction of wool fibers with an environmental protection approach

Subject Areas : Environmental pollutions (water, soil and air)

Mir Saeid Hesarian ¹ , Jafar Tavoosi ² , sajad yousefi ³

1 - Assistant Professor of Textile Engineering, Urmia University of Technology, Urmia, Iran. *(CorrespondingAuthor)
2 - Assistant Professor of Electrical Engineering, Faculty of Engineering, Ilam University, Ilam, Iran.
3 - Assistant Professor of Electrical Engineering, Department of Electrical Engineering, Technical and vocational University, Tehran, Iran.

Received: 2021-09-15 Accepted : 2022-10-12 Published : 2023-02-20

Keywords: Textile, Biodegradable, Esparak, Neural Network,

Abstract :

Background and Objective: Most synthetic dyes used in the textile industry have environmental hazards. Therefore, the interest in using biodegradable natural dyes prepared from plants is the main goal of this article. Material and Methodology:  Raw wool fibers were dyed using natural dye and the amount of dye extraction was investigated. Therefore, different percentages of dyes with three different pH values ​​were added to dye bath. The extraction parameter was measured using a UV-visible method. To investigate the effect of changes in dye concentration and pH on extraction, a new neural network model was developed. By development of new neural network model, the concentration of dye spray with three different pH values was considered as the input of the network and the extraction value of wool fibers was considered as the output of the model. In neural network training, 80% of the data were considered for training and the remaining 20% for testing. Fidings: In this paper, the experimental results are based on the values obtained from the UV-visible method and the modeling results are a prediction values of the developed neural network model as the extraction parameter. Discussion & Conclusion: Based on the experimental and modeling results, with increasing the dye concentration, the extraction value of wool fibers increases and changing the pH of the dye bath has practically no effect on the salinization of wool fibers. Finally, the neural network prediction model can be used as an alternative to repeated experiments with toxic substances to study the dyeing behavior of fibers and thus save human lives from death.

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