LAPSE:2023.4223
Published Article

LAPSE:2023.4223
Numerical Simulation of Dyeing Process of Cotton with Natural Dye
February 22, 2023
Abstract
Cotton dyeing is a very complex process with many variables in which different phenomena occur simultaneously. This study aimed to describe the cotton dyeing process by natural dye, using a mathematical model that consists of three mass conservation equations that depict dyeing cotton in cones, taking a representative volume element at the micro, meso, and macroscales. The first equation describes the concentration changes of the dye in the solution, taking into account the diffusive, convective, adsorptive, and reactive effects. The second equation describes the changes in dye concentration in cotton fiber, considering the diffusive, adsorptive, and reactive effects within an intermediate scale. The last equation describes changes in the concentration of dye in the solution on the macroscale, based on the characteristics of the equipment and the difference in concentration before and after passing through the fiber. In addition, a fluid continuity equation was incorporated, taking into account Darcy’s law. In the simulation of the dyeing process with synthetic dye with initial concentrations of 0.408 and 2.06 kg/m3, RMSE of 0.00221 and 0.0289 kg/m3 were obtained, respectively. For the simulation of a dyeing process with natural dyeing, a behavior similar to the experimental data was obtained.
Cotton dyeing is a very complex process with many variables in which different phenomena occur simultaneously. This study aimed to describe the cotton dyeing process by natural dye, using a mathematical model that consists of three mass conservation equations that depict dyeing cotton in cones, taking a representative volume element at the micro, meso, and macroscales. The first equation describes the concentration changes of the dye in the solution, taking into account the diffusive, convective, adsorptive, and reactive effects. The second equation describes the changes in dye concentration in cotton fiber, considering the diffusive, adsorptive, and reactive effects within an intermediate scale. The last equation describes changes in the concentration of dye in the solution on the macroscale, based on the characteristics of the equipment and the difference in concentration before and after passing through the fiber. In addition, a fluid continuity equation was incorporated, taking into account Darcy’s law. In the simulation of the dyeing process with synthetic dye with initial concentrations of 0.408 and 2.06 kg/m3, RMSE of 0.00221 and 0.0289 kg/m3 were obtained, respectively. For the simulation of a dyeing process with natural dyeing, a behavior similar to the experimental data was obtained.
Record ID
Keywords
Adsorption, Darcy’s law, diffusion, mass transport, multiscale model, reactive dye
Subject
Suggested Citation
Hernández-Bautista G, García-Montalvo IA, Pérez-Santiago AD, Sánchez-Medina MA, Matías-Pérez D, Alpuche-Osorno JJ, Torres SS, Hernandez-Bautista E. Numerical Simulation of Dyeing Process of Cotton with Natural Dye. (2023). LAPSE:2023.4223
Author Affiliations
Hernández-Bautista G: Department of Chemical and Biochemical Engineering, Tecnológico Nacional de México/Instituto Tecnológico de Oaxaca, Oaxaca 68030, Mexico
García-Montalvo IA: Division of Graduate Studies and Research, Tecnológico Nacional de México/Instituto Tecnológico de Oaxaca, Oaxaca 68033, Mexico [ORCID]
Pérez-Santiago AD: Division of Graduate Studies and Research, Tecnológico Nacional de México/Instituto Tecnológico de Oaxaca, Oaxaca 68033, Mexico
Sánchez-Medina MA: Division of Graduate Studies and Research, Tecnológico Nacional de México/Instituto Tecnológico de Oaxaca, Oaxaca 68033, Mexico
Matías-Pérez D: Division of Graduate Studies and Research, Tecnológico Nacional de México/Instituto Tecnológico de Oaxaca, Oaxaca 68033, Mexico
Alpuche-Osorno JJ: School of Medicine, Universidad Anáhuac Oaxaca, Oaxaca 71248, Mexico
Torres SS: Instituto Politécnico Nacional, CIIDIR Unidad Oaxaca, Santa Cruz Xoxocotlán 71230, Mexico
Hernandez-Bautista E: Department of Chemical and Biochemical Engineering, Tecnológico Nacional de México/Instituto Tecnológico de Oaxaca, Oaxaca 68030, Mexico
García-Montalvo IA: Division of Graduate Studies and Research, Tecnológico Nacional de México/Instituto Tecnológico de Oaxaca, Oaxaca 68033, Mexico [ORCID]
Pérez-Santiago AD: Division of Graduate Studies and Research, Tecnológico Nacional de México/Instituto Tecnológico de Oaxaca, Oaxaca 68033, Mexico
Sánchez-Medina MA: Division of Graduate Studies and Research, Tecnológico Nacional de México/Instituto Tecnológico de Oaxaca, Oaxaca 68033, Mexico
Matías-Pérez D: Division of Graduate Studies and Research, Tecnológico Nacional de México/Instituto Tecnológico de Oaxaca, Oaxaca 68033, Mexico
Alpuche-Osorno JJ: School of Medicine, Universidad Anáhuac Oaxaca, Oaxaca 71248, Mexico
Torres SS: Instituto Politécnico Nacional, CIIDIR Unidad Oaxaca, Santa Cruz Xoxocotlán 71230, Mexico
Hernandez-Bautista E: Department of Chemical and Biochemical Engineering, Tecnológico Nacional de México/Instituto Tecnológico de Oaxaca, Oaxaca 68030, Mexico
Journal Name
Processes
Volume
9
Issue
12
First Page
2162
Year
2021
Publication Date
2021-11-30
ISSN
2227-9717
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Original Submission
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PII: pr9122162, Publication Type: Journal Article
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LAPSE:2023.4223
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https://doi.org/10.3390/pr9122162
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Feb 22, 2023
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