Modeling and Experiment for the Diffusion Coefficient of Subcritical Carbon Dioxide in Poly(methyl methacrylate) to Predict Gas Sorption and Desorption

Several researchers have investigated the phenomenon of polymer–gas mixtures, and a few have proposed diffusion coefficient values instead of a diffusion coefficient model. There is a paucity of studies focused on the continuous change in the diffusion coefficient corresponding to the overall pressu...

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Main Authors: Jaehoo Kim, Kwan Hoon Kim, Youngjae Ryu, Sung Woon Cha
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Polymers
Subjects:
Online Access:https://www.mdpi.com/2073-4360/14/3/596
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author Jaehoo Kim
Kwan Hoon Kim
Youngjae Ryu
Sung Woon Cha
author_facet Jaehoo Kim
Kwan Hoon Kim
Youngjae Ryu
Sung Woon Cha
author_sort Jaehoo Kim
collection DOAJ
description Several researchers have investigated the phenomenon of polymer–gas mixtures, and a few have proposed diffusion coefficient values instead of a diffusion coefficient model. There is a paucity of studies focused on the continuous change in the diffusion coefficient corresponding to the overall pressure and temperature range of the mixture. In this study, the gas sorption and desorption experiments of poly(methyl methacrylate) (PMMA) were conducted via solid-state batch foaming, and the weight change was measured using the gravimetric method with a magnetic balance. The control parameters were temperature, which ranged from 290 to 370 K, and pressure, which ranged from 2 to 5 MPa in the subcritical regime. Based on the experimental data, the diffusion coefficient of the PMMA was calculated using Fick’s law. After calculating the diffusion coefficient in the range of the experiment, the diffusion coefficient model was employed using the least-squares method. Subsequently, the model was validated by comparing the obtained results with those in the literature, and the overall trend was found to be consistent. Therefore, it was confirmed that there were slight differences between the diffusion coefficient obtained using only Fick’s equation and the value using by a different method.
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spelling doaj.art-3ee0030dab40438c8e6259b198e570492023-11-23T17:36:30ZengMDPI AGPolymers2073-43602022-02-0114359610.3390/polym14030596Modeling and Experiment for the Diffusion Coefficient of Subcritical Carbon Dioxide in Poly(methyl methacrylate) to Predict Gas Sorption and DesorptionJaehoo Kim0Kwan Hoon Kim1Youngjae Ryu2Sung Woon Cha3Department of Mechanical Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, KoreaDepartment of Mechanical Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, KoreaDepartment of Mechanical Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, KoreaDepartment of Mechanical Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, KoreaSeveral researchers have investigated the phenomenon of polymer–gas mixtures, and a few have proposed diffusion coefficient values instead of a diffusion coefficient model. There is a paucity of studies focused on the continuous change in the diffusion coefficient corresponding to the overall pressure and temperature range of the mixture. In this study, the gas sorption and desorption experiments of poly(methyl methacrylate) (PMMA) were conducted via solid-state batch foaming, and the weight change was measured using the gravimetric method with a magnetic balance. The control parameters were temperature, which ranged from 290 to 370 K, and pressure, which ranged from 2 to 5 MPa in the subcritical regime. Based on the experimental data, the diffusion coefficient of the PMMA was calculated using Fick’s law. After calculating the diffusion coefficient in the range of the experiment, the diffusion coefficient model was employed using the least-squares method. Subsequently, the model was validated by comparing the obtained results with those in the literature, and the overall trend was found to be consistent. Therefore, it was confirmed that there were slight differences between the diffusion coefficient obtained using only Fick’s equation and the value using by a different method.https://www.mdpi.com/2073-4360/14/3/596poly(methyl methacrylate)diffusion coefficientgas sorptionsolubilitysolid-state batch foaminggas desorption
spellingShingle Jaehoo Kim
Kwan Hoon Kim
Youngjae Ryu
Sung Woon Cha
Modeling and Experiment for the Diffusion Coefficient of Subcritical Carbon Dioxide in Poly(methyl methacrylate) to Predict Gas Sorption and Desorption
Polymers
poly(methyl methacrylate)
diffusion coefficient
gas sorption
solubility
solid-state batch foaming
gas desorption
title Modeling and Experiment for the Diffusion Coefficient of Subcritical Carbon Dioxide in Poly(methyl methacrylate) to Predict Gas Sorption and Desorption
title_full Modeling and Experiment for the Diffusion Coefficient of Subcritical Carbon Dioxide in Poly(methyl methacrylate) to Predict Gas Sorption and Desorption
title_fullStr Modeling and Experiment for the Diffusion Coefficient of Subcritical Carbon Dioxide in Poly(methyl methacrylate) to Predict Gas Sorption and Desorption
title_full_unstemmed Modeling and Experiment for the Diffusion Coefficient of Subcritical Carbon Dioxide in Poly(methyl methacrylate) to Predict Gas Sorption and Desorption
title_short Modeling and Experiment for the Diffusion Coefficient of Subcritical Carbon Dioxide in Poly(methyl methacrylate) to Predict Gas Sorption and Desorption
title_sort modeling and experiment for the diffusion coefficient of subcritical carbon dioxide in poly methyl methacrylate to predict gas sorption and desorption
topic poly(methyl methacrylate)
diffusion coefficient
gas sorption
solubility
solid-state batch foaming
gas desorption
url https://www.mdpi.com/2073-4360/14/3/596
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