Cargando…
Toward More Universal Prediction of Polymer Solution Viscosity for Solvent-Based Recycling
[Image: see text] The viscosity of polymer solutions is important for both polymer synthesis and recycling. Polymerization reactions can become hampered by diffusional limitations once a viscosity threshold is reached, and viscous solutions complicate the cleaning steps during the dissolution–precip...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2022
|
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9354514/ https://www.ncbi.nlm.nih.gov/pubmed/35941852 http://dx.doi.org/10.1021/acs.iecr.2c01487 |
_version_ | 1784763089137172480 |
---|---|
author | Kol, Rita Nachtergaele, Pieter De Somer, Tobias D’hooge, Dagmar R. Achilias, Dimitris S. De Meester, Steven |
author_facet | Kol, Rita Nachtergaele, Pieter De Somer, Tobias D’hooge, Dagmar R. Achilias, Dimitris S. De Meester, Steven |
author_sort | Kol, Rita |
collection | PubMed |
description | [Image: see text] The viscosity of polymer solutions is important for both polymer synthesis and recycling. Polymerization reactions can become hampered by diffusional limitations once a viscosity threshold is reached, and viscous solutions complicate the cleaning steps during the dissolution–precipitation technique. Available experimental data is limited, which is more severe for green solvents, justifying dedicated viscosity data recording and interpretation. In this work, a systematic study is therefore performed on the viscosity of polystyrene solutions, considering different concentrations, temperatures, and conventional and green solvents. The results show that for the shear rate range of 1–1000 s(–1), the solutions with concentrations between 5 and 39 wt % display mainly Newtonian behavior, which is further confirmed by the applicability of the segment-based Eyring-NRTL and Eyring-mNRF models. Moreover, multivariate data analysis successfully predicts the viscosity of polystyrene solutions under different conditions. This approach will facilitate future data recording for other polymer–solvent combinations while minimizing experimental effort. |
format | Online Article Text |
id | pubmed-9354514 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-93545142022-08-06 Toward More Universal Prediction of Polymer Solution Viscosity for Solvent-Based Recycling Kol, Rita Nachtergaele, Pieter De Somer, Tobias D’hooge, Dagmar R. Achilias, Dimitris S. De Meester, Steven Ind Eng Chem Res [Image: see text] The viscosity of polymer solutions is important for both polymer synthesis and recycling. Polymerization reactions can become hampered by diffusional limitations once a viscosity threshold is reached, and viscous solutions complicate the cleaning steps during the dissolution–precipitation technique. Available experimental data is limited, which is more severe for green solvents, justifying dedicated viscosity data recording and interpretation. In this work, a systematic study is therefore performed on the viscosity of polystyrene solutions, considering different concentrations, temperatures, and conventional and green solvents. The results show that for the shear rate range of 1–1000 s(–1), the solutions with concentrations between 5 and 39 wt % display mainly Newtonian behavior, which is further confirmed by the applicability of the segment-based Eyring-NRTL and Eyring-mNRF models. Moreover, multivariate data analysis successfully predicts the viscosity of polystyrene solutions under different conditions. This approach will facilitate future data recording for other polymer–solvent combinations while minimizing experimental effort. American Chemical Society 2022-07-14 2022-08-03 /pmc/articles/PMC9354514/ /pubmed/35941852 http://dx.doi.org/10.1021/acs.iecr.2c01487 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Kol, Rita Nachtergaele, Pieter De Somer, Tobias D’hooge, Dagmar R. Achilias, Dimitris S. De Meester, Steven Toward More Universal Prediction of Polymer Solution Viscosity for Solvent-Based Recycling |
title | Toward More Universal
Prediction of Polymer Solution
Viscosity for Solvent-Based Recycling |
title_full | Toward More Universal
Prediction of Polymer Solution
Viscosity for Solvent-Based Recycling |
title_fullStr | Toward More Universal
Prediction of Polymer Solution
Viscosity for Solvent-Based Recycling |
title_full_unstemmed | Toward More Universal
Prediction of Polymer Solution
Viscosity for Solvent-Based Recycling |
title_short | Toward More Universal
Prediction of Polymer Solution
Viscosity for Solvent-Based Recycling |
title_sort | toward more universal
prediction of polymer solution
viscosity for solvent-based recycling |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9354514/ https://www.ncbi.nlm.nih.gov/pubmed/35941852 http://dx.doi.org/10.1021/acs.iecr.2c01487 |
work_keys_str_mv | AT kolrita towardmoreuniversalpredictionofpolymersolutionviscosityforsolventbasedrecycling AT nachtergaelepieter towardmoreuniversalpredictionofpolymersolutionviscosityforsolventbasedrecycling AT desomertobias towardmoreuniversalpredictionofpolymersolutionviscosityforsolventbasedrecycling AT dhoogedagmarr towardmoreuniversalpredictionofpolymersolutionviscosityforsolventbasedrecycling AT achiliasdimitriss towardmoreuniversalpredictionofpolymersolutionviscosityforsolventbasedrecycling AT demeestersteven towardmoreuniversalpredictionofpolymersolutionviscosityforsolventbasedrecycling |