Optimizing the synthesis of cobalt aluminate pigment using fractional factorial design

Detalhes bibliográficos
Autor(a) principal: Gomes, Yara Feliciano
Data de Publicação: 2015
Outros Autores: Medeiros, P.N., Delmonte, Maurício Roberto Bomio, Santos, Ieda Maria Garcia dos, Paskocimas, Carlos Alberto, Nascimento, Rubens Maribondo do, Motta, Fabiana Villela da
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFRN
Texto Completo: https://repositorio.ufrn.br/handle/123456789/32014
Resumo: The increasing use of experimental design techniques comes from the growing need to optimize products and processes while minimizing costs and maximizing efficiency, productivity and quality of products. Ceramic pigments have wide application in ceramic industries in which the quality and advanced properties of materials are widely investigated. However, studies are required to improve the procedure for obtaining cobalt aluminate (CoAl2O4) using the Complex Polymerization Method (CPM). With the objective of optimizing this method, a 2(5-2) fractional factorial design was performed using data from UV–vis spectroscopy analysis as a response surface. To determine the best conditions for obtaining (CoAl2O4) in this study, five factors were chosen as input variables at levels determined for this study: citric acid concentration (stoichiometric), pyrolysis time (h), temperature (°C), calcination heating time and rate (°C/min). Through statistical application in the process of obtaining CoAl2O4, it was possible to study which of these factors may have greater influence in optimizing the synthesis. The precursor powders were characterized using TG/DSC thermogravimetric analysis, and the calcined powders were analyzed using X-ray diffraction (XRD) and energy dispersive scanning electron microscopy (SEM/EDS) to confirm the structural and morphological aspects of CoAl2O4. It was found that with increased calcination temperature 700 °C<800 °C<900 °C, the UV–vis bands decreased with increasing absorbance intensity, and with increasing pyrolysis time (h), there is a proportional increase in the UV–vis bands. The model was generated with the conditions proposed in this study due to the determination coefficient of 99.9%, variance (R2), and satisfactory response surfaces, thus obtaining optimization of the process according to the needs and applicability in the ceramic industry of pigments
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spelling Gomes, Yara FelicianoMedeiros, P.N.Delmonte, Maurício Roberto BomioSantos, Ieda Maria Garcia dosPaskocimas, Carlos AlbertoNascimento, Rubens Maribondo doMotta, Fabiana Villela da2021-03-29T17:13:39Z2021-03-29T17:13:39Z2015-01GOMES, Y.F.; MEDEIROS, P.N.; BOMIO, M.R.D.; SANTOS, I.M.G.; PASKOCIMAS, C.A.; NASCIMENTO, R.M.; MOTTA, F.V.. Optimizing the synthesis of cobalt aluminate pigment using fractional factorial design. Ceramics International, [S.L.], v. 41, n. 1, p. 699-706, jan. 2015. Disponível em: https://www.sciencedirect.com/science/article/pii/S0272884214013662?via%3Dihub. Acesso em: 09 fev. 2021. http://dx.doi.org/10.1016/j.ceramint.2014.08.1250272-8842https://repositorio.ufrn.br/handle/123456789/3201410.1016/j.ceramint.2014.08.125ElsevierCoAl2O4PigmentOptimizationFractional factorial designComplex Polymerization Method (CPM)Optimizing the synthesis of cobalt aluminate pigment using fractional factorial designinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleThe increasing use of experimental design techniques comes from the growing need to optimize products and processes while minimizing costs and maximizing efficiency, productivity and quality of products. Ceramic pigments have wide application in ceramic industries in which the quality and advanced properties of materials are widely investigated. However, studies are required to improve the procedure for obtaining cobalt aluminate (CoAl2O4) using the Complex Polymerization Method (CPM). With the objective of optimizing this method, a 2(5-2) fractional factorial design was performed using data from UV–vis spectroscopy analysis as a response surface. To determine the best conditions for obtaining (CoAl2O4) in this study, five factors were chosen as input variables at levels determined for this study: citric acid concentration (stoichiometric), pyrolysis time (h), temperature (°C), calcination heating time and rate (°C/min). Through statistical application in the process of obtaining CoAl2O4, it was possible to study which of these factors may have greater influence in optimizing the synthesis. The precursor powders were characterized using TG/DSC thermogravimetric analysis, and the calcined powders were analyzed using X-ray diffraction (XRD) and energy dispersive scanning electron microscopy (SEM/EDS) to confirm the structural and morphological aspects of CoAl2O4. It was found that with increased calcination temperature 700 °C<800 °C<900 °C, the UV–vis bands decreased with increasing absorbance intensity, and with increasing pyrolysis time (h), there is a proportional increase in the UV–vis bands. The model was generated with the conditions proposed in this study due to the determination coefficient of 99.9%, variance (R2), and satisfactory response surfaces, thus obtaining optimization of the process according to the needs and applicability in the ceramic industry of pigmentsengreponame:Repositório Institucional da UFRNinstname:Universidade Federal do Rio Grande do Norte (UFRN)instacron:UFRNinfo:eu-repo/semantics/openAccessCC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8914https://repositorio.ufrn.br/bitstream/123456789/32014/2/license_rdf4d2950bda3d176f570a9f8b328dfbbefMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81484https://repositorio.ufrn.br/bitstream/123456789/32014/3/license.txte9597aa2854d128fd968be5edc8a28d9MD53TEXTOptimizingTheSynthesis_PASKOCIMAS_2015.pdf.txtOptimizingTheSynthesis_PASKOCIMAS_2015.pdf.txtExtracted texttext/plain38610https://repositorio.ufrn.br/bitstream/123456789/32014/4/OptimizingTheSynthesis_PASKOCIMAS_2015.pdf.txt94107ae57718d25e11ad6a94e7aa0cfaMD54THUMBNAILOptimizingTheSynthesis_PASKOCIMAS_2015.pdf.jpgOptimizingTheSynthesis_PASKOCIMAS_2015.pdf.jpgGenerated Thumbnailimage/jpeg1713https://repositorio.ufrn.br/bitstream/123456789/32014/5/OptimizingTheSynthesis_PASKOCIMAS_2015.pdf.jpga8a5caace7feb85457144542401b61daMD55123456789/320142023-01-30 19:18:44.33oai:https://repositorio.ufrn.br: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Repositório de PublicaçõesPUBhttp://repositorio.ufrn.br/oai/opendoar:2023-01-30T22:18:44Repositório Institucional da UFRN - Universidade Federal do Rio Grande do Norte (UFRN)false
dc.title.pt_BR.fl_str_mv Optimizing the synthesis of cobalt aluminate pigment using fractional factorial design
title Optimizing the synthesis of cobalt aluminate pigment using fractional factorial design
spellingShingle Optimizing the synthesis of cobalt aluminate pigment using fractional factorial design
Gomes, Yara Feliciano
CoAl2O4
Pigment
Optimization
Fractional factorial design
Complex Polymerization Method (CPM)
title_short Optimizing the synthesis of cobalt aluminate pigment using fractional factorial design
title_full Optimizing the synthesis of cobalt aluminate pigment using fractional factorial design
title_fullStr Optimizing the synthesis of cobalt aluminate pigment using fractional factorial design
title_full_unstemmed Optimizing the synthesis of cobalt aluminate pigment using fractional factorial design
title_sort Optimizing the synthesis of cobalt aluminate pigment using fractional factorial design
author Gomes, Yara Feliciano
author_facet Gomes, Yara Feliciano
Medeiros, P.N.
Delmonte, Maurício Roberto Bomio
Santos, Ieda Maria Garcia dos
Paskocimas, Carlos Alberto
Nascimento, Rubens Maribondo do
Motta, Fabiana Villela da
author_role author
author2 Medeiros, P.N.
Delmonte, Maurício Roberto Bomio
Santos, Ieda Maria Garcia dos
Paskocimas, Carlos Alberto
Nascimento, Rubens Maribondo do
Motta, Fabiana Villela da
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Gomes, Yara Feliciano
Medeiros, P.N.
Delmonte, Maurício Roberto Bomio
Santos, Ieda Maria Garcia dos
Paskocimas, Carlos Alberto
Nascimento, Rubens Maribondo do
Motta, Fabiana Villela da
dc.subject.por.fl_str_mv CoAl2O4
Pigment
Optimization
Fractional factorial design
Complex Polymerization Method (CPM)
topic CoAl2O4
Pigment
Optimization
Fractional factorial design
Complex Polymerization Method (CPM)
description The increasing use of experimental design techniques comes from the growing need to optimize products and processes while minimizing costs and maximizing efficiency, productivity and quality of products. Ceramic pigments have wide application in ceramic industries in which the quality and advanced properties of materials are widely investigated. However, studies are required to improve the procedure for obtaining cobalt aluminate (CoAl2O4) using the Complex Polymerization Method (CPM). With the objective of optimizing this method, a 2(5-2) fractional factorial design was performed using data from UV–vis spectroscopy analysis as a response surface. To determine the best conditions for obtaining (CoAl2O4) in this study, five factors were chosen as input variables at levels determined for this study: citric acid concentration (stoichiometric), pyrolysis time (h), temperature (°C), calcination heating time and rate (°C/min). Through statistical application in the process of obtaining CoAl2O4, it was possible to study which of these factors may have greater influence in optimizing the synthesis. The precursor powders were characterized using TG/DSC thermogravimetric analysis, and the calcined powders were analyzed using X-ray diffraction (XRD) and energy dispersive scanning electron microscopy (SEM/EDS) to confirm the structural and morphological aspects of CoAl2O4. It was found that with increased calcination temperature 700 °C<800 °C<900 °C, the UV–vis bands decreased with increasing absorbance intensity, and with increasing pyrolysis time (h), there is a proportional increase in the UV–vis bands. The model was generated with the conditions proposed in this study due to the determination coefficient of 99.9%, variance (R2), and satisfactory response surfaces, thus obtaining optimization of the process according to the needs and applicability in the ceramic industry of pigments
publishDate 2015
dc.date.issued.fl_str_mv 2015-01
dc.date.accessioned.fl_str_mv 2021-03-29T17:13:39Z
dc.date.available.fl_str_mv 2021-03-29T17:13:39Z
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dc.identifier.citation.fl_str_mv GOMES, Y.F.; MEDEIROS, P.N.; BOMIO, M.R.D.; SANTOS, I.M.G.; PASKOCIMAS, C.A.; NASCIMENTO, R.M.; MOTTA, F.V.. Optimizing the synthesis of cobalt aluminate pigment using fractional factorial design. Ceramics International, [S.L.], v. 41, n. 1, p. 699-706, jan. 2015. Disponível em: https://www.sciencedirect.com/science/article/pii/S0272884214013662?via%3Dihub. Acesso em: 09 fev. 2021. http://dx.doi.org/10.1016/j.ceramint.2014.08.125
dc.identifier.uri.fl_str_mv https://repositorio.ufrn.br/handle/123456789/32014
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dc.identifier.doi.none.fl_str_mv 10.1016/j.ceramint.2014.08.125
identifier_str_mv GOMES, Y.F.; MEDEIROS, P.N.; BOMIO, M.R.D.; SANTOS, I.M.G.; PASKOCIMAS, C.A.; NASCIMENTO, R.M.; MOTTA, F.V.. Optimizing the synthesis of cobalt aluminate pigment using fractional factorial design. Ceramics International, [S.L.], v. 41, n. 1, p. 699-706, jan. 2015. Disponível em: https://www.sciencedirect.com/science/article/pii/S0272884214013662?via%3Dihub. Acesso em: 09 fev. 2021. http://dx.doi.org/10.1016/j.ceramint.2014.08.125
0272-8842
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