KAl(SO4)2 thermal decomposition kinetics modeling through graphical and PSO methods
The present manuscript proposes the use of two different approaches for kinetic modeling to study the thermal decomposition of sulfates: a graphical one (sigmoid) and a stochastic one (particle swarm optimization - PSO). Three scenarios were analyzed: pure potassium alum, pure aluminum sulfate, and...
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Elsevier
2021-09-01
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Series: | Journal of Materials Research and Technology |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S223878542100750X |
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author | Artur S.C. Rego Carolina V.B. Marprates Talita S.X. Silva João G. Neto Rogério C.S. Navarro Rodrigo F.M. Souza Eduardo A. Brocchi |
author_facet | Artur S.C. Rego Carolina V.B. Marprates Talita S.X. Silva João G. Neto Rogério C.S. Navarro Rodrigo F.M. Souza Eduardo A. Brocchi |
author_sort | Artur S.C. Rego |
collection | DOAJ |
description | The present manuscript proposes the use of two different approaches for kinetic modeling to study the thermal decomposition of sulfates: a graphical one (sigmoid) and a stochastic one (particle swarm optimization - PSO). Three scenarios were analyzed: pure potassium alum, pure aluminum sulfate, and a mixture of potassium sulfate and aluminum sulfate using TGA under inert atmosphere (N2). The presence of potassium sulfate reduced the decomposition temperature of aluminum sulfate. The results of both methods agree with each other, despite not yielding the same values. The determined apparent orders were around 1.7 for all cases in the graphical method and varied from 1.02 (pure aluminum sulfate) and around 1.5 (potassium alum and mixture of sulfates) for the PSO method. The activation energies were in the range 209–264 kJ mol−1 for the graphical method and 296–352 kJ mol−1 for the PSO method, with the mixture of sulfates having the lowest activation energy values, and the pure aluminum sulfate having the highest ones. |
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format | Article |
id | doaj.art-e776c56b670a43738fee6262b5820afc |
institution | Directory Open Access Journal |
issn | 2238-7854 |
language | English |
last_indexed | 2024-12-13T20:35:28Z |
publishDate | 2021-09-01 |
publisher | Elsevier |
record_format | Article |
series | Journal of Materials Research and Technology |
spelling | doaj.art-e776c56b670a43738fee6262b5820afc2022-12-21T23:32:18ZengElsevierJournal of Materials Research and Technology2238-78542021-09-011419751984KAl(SO4)2 thermal decomposition kinetics modeling through graphical and PSO methodsArtur S.C. Rego0Carolina V.B. Marprates1Talita S.X. Silva2João G. Neto3Rogério C.S. Navarro4Rodrigo F.M. Souza5Eduardo A. Brocchi6Department of Chemical and Materials Engineering, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), 22453-900, Rio de Janeiro, RJ, BrazilDepartment of Chemical and Materials Engineering, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), 22453-900, Rio de Janeiro, RJ, BrazilDepartment of Chemical and Materials Engineering, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), 22453-900, Rio de Janeiro, RJ, BrazilDepartment of Chemical and Materials Engineering, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), 22453-900, Rio de Janeiro, RJ, BrazilDepartment of Chemical and Materials Engineering, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), 22453-900, Rio de Janeiro, RJ, BrazilCorresponding author.; Department of Chemical and Materials Engineering, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), 22453-900, Rio de Janeiro, RJ, BrazilDepartment of Chemical and Materials Engineering, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), 22453-900, Rio de Janeiro, RJ, BrazilThe present manuscript proposes the use of two different approaches for kinetic modeling to study the thermal decomposition of sulfates: a graphical one (sigmoid) and a stochastic one (particle swarm optimization - PSO). Three scenarios were analyzed: pure potassium alum, pure aluminum sulfate, and a mixture of potassium sulfate and aluminum sulfate using TGA under inert atmosphere (N2). The presence of potassium sulfate reduced the decomposition temperature of aluminum sulfate. The results of both methods agree with each other, despite not yielding the same values. The determined apparent orders were around 1.7 for all cases in the graphical method and varied from 1.02 (pure aluminum sulfate) and around 1.5 (potassium alum and mixture of sulfates) for the PSO method. The activation energies were in the range 209–264 kJ mol−1 for the graphical method and 296–352 kJ mol−1 for the PSO method, with the mixture of sulfates having the lowest activation energy values, and the pure aluminum sulfate having the highest ones.http://www.sciencedirect.com/science/article/pii/S223878542100750XThermal decomposition kineticsThermogravimetryParticle optimization kineticsThermodynamics simulationPotassium alum |
spellingShingle | Artur S.C. Rego Carolina V.B. Marprates Talita S.X. Silva João G. Neto Rogério C.S. Navarro Rodrigo F.M. Souza Eduardo A. Brocchi KAl(SO4)2 thermal decomposition kinetics modeling through graphical and PSO methods Journal of Materials Research and Technology Thermal decomposition kinetics Thermogravimetry Particle optimization kinetics Thermodynamics simulation Potassium alum |
title | KAl(SO4)2 thermal decomposition kinetics modeling through graphical and PSO methods |
title_full | KAl(SO4)2 thermal decomposition kinetics modeling through graphical and PSO methods |
title_fullStr | KAl(SO4)2 thermal decomposition kinetics modeling through graphical and PSO methods |
title_full_unstemmed | KAl(SO4)2 thermal decomposition kinetics modeling through graphical and PSO methods |
title_short | KAl(SO4)2 thermal decomposition kinetics modeling through graphical and PSO methods |
title_sort | kal so4 2 thermal decomposition kinetics modeling through graphical and pso methods |
topic | Thermal decomposition kinetics Thermogravimetry Particle optimization kinetics Thermodynamics simulation Potassium alum |
url | http://www.sciencedirect.com/science/article/pii/S223878542100750X |
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