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...

Full description

Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: Elsevier 2021-09-01
Series:Journal of Materials Research and Technology
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S223878542100750X
_version_ 1818358845498458112
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.
first_indexed 2024-12-13T20:35:28Z
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
work_keys_str_mv AT arturscrego kalso42thermaldecompositionkineticsmodelingthroughgraphicalandpsomethods
AT carolinavbmarprates kalso42thermaldecompositionkineticsmodelingthroughgraphicalandpsomethods
AT talitasxsilva kalso42thermaldecompositionkineticsmodelingthroughgraphicalandpsomethods
AT joaogneto kalso42thermaldecompositionkineticsmodelingthroughgraphicalandpsomethods
AT rogeriocsnavarro kalso42thermaldecompositionkineticsmodelingthroughgraphicalandpsomethods
AT rodrigofmsouza kalso42thermaldecompositionkineticsmodelingthroughgraphicalandpsomethods
AT eduardoabrocchi kalso42thermaldecompositionkineticsmodelingthroughgraphicalandpsomethods