Avaliação da adsorção de indio (III) através de redes neuronais artificiais e modelos difusivos de transferência de massa

Detalhes bibliográficos
Ano de defesa: 2021
Autor(a) principal: Franco, Dison Stracke Pfingsten lattes
Orientador(a): Dotto, Guilherme Luiz lattes
Banca de defesa: Mallmann, Evandro Stoffels, Foletto, Edson Luiz, Oliveira, Jivago Schumacher de, Cadaval Junior, Tito Roberto Sant'Anna
Tipo de documento: Tese
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Federal de Santa Maria
Centro de Tecnologia
Programa de Pós-Graduação: Programa de Pós-Graduação em Engenharia Química
Departamento: Engenharia Química
País: Brasil
Palavras-chave em Português:
ANN
Palavras-chave em Inglês:
Área do conhecimento CNPq:
Link de acesso: http://repositorio.ufsm.br/handle/1/23354
Resumo: Technological development has increased the consumption of indium in the last decade and is currently classified as a critical material due to its scarcity. Its main application is related to the production of liquid crystal display. Due to this context, the recycling of indium is necessary. One route is to obtain it after leaching from a liquid crystal display, which can be done through the unitary adsorption operation. This work aimed to investigate the adsorption of In(III) using the neural network and mass transfer models. The adsorption of In (III) was evaluated using ten different adsorbents, activated carbon, multi-walled carbon nanotubes functionalized with OH, carbon nanotubes functionalized with COOH, chitin, chitosan, corn straw, sugarcane bagasse, orange peel and rice husks. The neural network models were able to predict the adsorption capacity for all adsorbents with R2 of 0.9998 and MSE 8.423x10-5 using ANFIS and R2 of 0.9913 and MSE 0.1721 using ANN. Among all ten adsorbents, the multiwalled carbon nanotubes functionalized with OH and another COOH, chitin and chitosan were the ones with the best adsorption capacity. It was found that chitosan has an In(III) adsorption capacity of 1000 mg g-1. Scanning electron microscopy of chitin and chitosan confirmed that both have a rigid surface without the presence of pores. Equilibrium isotherms showed that adsorption capacity increases with temperature. From the external mass transfer model and the modified Biot number values (8.82×10–4 and 2.71) it was found that the external mass transfer is the dominant phenomenon in the adsorption of In(III) onto chitin and chitosan. In summary, the In(III) atoms move out of solution and are instantly adsorbed to the surface through precipitation or coordination bonds.
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spelling 2021-12-17T11:29:18Z2021-12-17T11:29:18Z2021-06-11http://repositorio.ufsm.br/handle/1/23354Technological development has increased the consumption of indium in the last decade and is currently classified as a critical material due to its scarcity. Its main application is related to the production of liquid crystal display. Due to this context, the recycling of indium is necessary. One route is to obtain it after leaching from a liquid crystal display, which can be done through the unitary adsorption operation. This work aimed to investigate the adsorption of In(III) using the neural network and mass transfer models. The adsorption of In (III) was evaluated using ten different adsorbents, activated carbon, multi-walled carbon nanotubes functionalized with OH, carbon nanotubes functionalized with COOH, chitin, chitosan, corn straw, sugarcane bagasse, orange peel and rice husks. The neural network models were able to predict the adsorption capacity for all adsorbents with R2 of 0.9998 and MSE 8.423x10-5 using ANFIS and R2 of 0.9913 and MSE 0.1721 using ANN. Among all ten adsorbents, the multiwalled carbon nanotubes functionalized with OH and another COOH, chitin and chitosan were the ones with the best adsorption capacity. It was found that chitosan has an In(III) adsorption capacity of 1000 mg g-1. Scanning electron microscopy of chitin and chitosan confirmed that both have a rigid surface without the presence of pores. Equilibrium isotherms showed that adsorption capacity increases with temperature. From the external mass transfer model and the modified Biot number values (8.82×10–4 and 2.71) it was found that the external mass transfer is the dominant phenomenon in the adsorption of In(III) onto chitin and chitosan. In summary, the In(III) atoms move out of solution and are instantly adsorbed to the surface through precipitation or coordination bonds.O desenvolvimento tecnológico aumentou o consumo de índio na última década, sendo atualmente classificado como material crítico, devido sua escassez. Sua principal aplicação está relacionada a produção de display de cristal líquido. Devido a este contexto, o reciclo do índio é necessário. Uma rota é a obtenção do mesmo após a lixiviação de display de cristal líquido, este podendo ser feito através da operação unitária de adsorção. Este trabalho teve como objetivo investigar a adsorção de In (III) utilizando os modelos de redes neuronais e de transferência de massa. A adsorção de In (III) foi avaliada utilizando dez adsorventes diferentes, carvão ativado, nanotubos de carbono de múltiplas paredes funcionalizados com OH, nanotubos de carbono funcionalizados com COOH, quitina, quitosana, palha de milho, bagaço de cana, casca de laranja e casca de arroz. Os modelos de redes neuronais conseguiram prever a capacidade de adsorção para todos os adsorventes com R² de 0,9998 e MSE 8,423x10-5 utilizando o ANFIS e R² de 0.9913 e MSE 0.1721 utilizando o ANN. Dentre todos os dez adsorventes os nanotubos de carbono de múltiplas paredes funcionalizado com OH e outro COOH, quitina e quitosana foram os que apresentaram melhor capacidade de adsorção. Foi encontrado que a quitosana apresenta uma capacidade de adsorção de In (III) de 1000 mg g-¹. A microscopia eletrônica de varredura da quitina e quitosana confirmaram que ambas apresentam uma superfície rígida sem a presença de poros. As isotermas de equilíbrio mostraram que capacidade de adsorção aumenta com a temperatura. A partir do modelo de transferência de massa externo e dos valores do número de Biot (8,82×10–4 e 2,71) modificado foi encontrado que a transferência de massa externa é o fenômeno dominante na adsorção do In (III) sobre a quitina e quitosana. Em resumo, os átomos de In (III) se deslocam do seio da solução e são instantemente adsorvidos na superfície através de precipitação ou ligações de coordenação.Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul - FAPERGSporUniversidade Federal de Santa MariaCentro de TecnologiaPrograma de Pós-Graduação em Engenharia QuímicaUFSMBrasilEngenharia QuímicaAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessAdsorçãoIndioANNPVSDMEMTMResíduosQuitinaQuitosanaAdsorptionIndiumResiduesChitinChitosanCNPQ::ENGENHARIAS::ENGENHARIA QUIMICAAvaliação da adsorção de indio (III) através de redes neuronais artificiais e modelos difusivos de transferência de massaEvaluation of indio (III) adsorption through artificial neuronal networks and diffusive mass transfer modelsinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisDotto, Guilherme Luizhttp://lattes.cnpq.br/5412544199323879Salau, Nina Paula Gonçalveshttp://lattes.cnpq.br/4234840503539989Mallmann, Evandro StoffelsFoletto, Edson LuizOliveira, Jivago Schumacher deCadaval Junior, Tito Roberto Sant'Annahttp://lattes.cnpq.br/9143386977603350Franco, Dison Stracke Pfingsten300600000006600600600600600600600600cb4c4429-649d-4998-a6b3-cfcf481ab6b944255e9a-ce89-4a3f-b5ac-a61e402ee4e37d9f4393-468d-47eb-9097-4e9f03d62392d6b0623c-d90d-4a2a-bb93-ddfb0cd4b2a7c562ca96-6b02-442f-916b-5e207d8c78e9dca505d3-e3f6-4f16-8754-0b83a3c80bc5c9c36d35-c144-4b88-ae3b-a04c4f5622a3reponame:Manancial - Repositório Digital da UFSMinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMORIGINALTES_PPGEQ_2021_FRANCO_DISON.pdfTES_PPGEQ_2021_FRANCO_DISON.pdfTese de doutoradoapplication/pdf4155069http://repositorio.ufsm.br/bitstream/1/23354/1/TES_PPGEQ_2021_FRANCO_DISON.pdf846f93b1c92fa001e4dc0d019af5d16dMD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8805http://repositorio.ufsm.br/bitstream/1/23354/2/license_rdf4460e5956bc1d1639be9ae6146a50347MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-816http://repositorio.ufsm.br/bitstream/1/23354/3/license.txtf8fcb28efb1c8cf0dc096bec902bf4c4MD53TEXTTES_PPGEQ_2021_FRANCO_DISON.pdf.txtTES_PPGEQ_2021_FRANCO_DISON.pdf.txtExtracted texttext/plain201432http://repositorio.ufsm.br/bitstream/1/23354/4/TES_PPGEQ_2021_FRANCO_DISON.pdf.txtf6dde05b9eb670898d4a0cd143c36fccMD54THUMBNAILTES_PPGEQ_2021_FRANCO_DISON.pdf.jpgTES_PPGEQ_2021_FRANCO_DISON.pdf.jpgIM Thumbnailimage/jpeg4454http://repositorio.ufsm.br/bitstream/1/23354/5/TES_PPGEQ_2021_FRANCO_DISON.pdf.jpg85ceff557de2bcd0d39a105dfe5eff48MD551/233542021-12-18 03:03:52.35oai:repositorio.ufsm.br:1/23354Q3JlYXRpdmUgQ29tbW9ucw==Repositório Institucionalhttp://repositorio.ufsm.br/PUBhttp://repositorio.ufsm.br/oai/requestopendoar:39132021-12-18T06:03:52Manancial - Repositório Digital da UFSM - Universidade Federal de Santa Maria (UFSM)false
dc.title.por.fl_str_mv Avaliação da adsorção de indio (III) através de redes neuronais artificiais e modelos difusivos de transferência de massa
dc.title.alternative.eng.fl_str_mv Evaluation of indio (III) adsorption through artificial neuronal networks and diffusive mass transfer models
title Avaliação da adsorção de indio (III) através de redes neuronais artificiais e modelos difusivos de transferência de massa
spellingShingle Avaliação da adsorção de indio (III) através de redes neuronais artificiais e modelos difusivos de transferência de massa
Franco, Dison Stracke Pfingsten
Adsorção
Indio
ANN
PVSDM
EMTM
Resíduos
Quitina
Quitosana
Adsorption
Indium
Residues
Chitin
Chitosan
CNPQ::ENGENHARIAS::ENGENHARIA QUIMICA
title_short Avaliação da adsorção de indio (III) através de redes neuronais artificiais e modelos difusivos de transferência de massa
title_full Avaliação da adsorção de indio (III) através de redes neuronais artificiais e modelos difusivos de transferência de massa
title_fullStr Avaliação da adsorção de indio (III) através de redes neuronais artificiais e modelos difusivos de transferência de massa
title_full_unstemmed Avaliação da adsorção de indio (III) através de redes neuronais artificiais e modelos difusivos de transferência de massa
title_sort Avaliação da adsorção de indio (III) através de redes neuronais artificiais e modelos difusivos de transferência de massa
author Franco, Dison Stracke Pfingsten
author_facet Franco, Dison Stracke Pfingsten
author_role author
dc.contributor.advisor1.fl_str_mv Dotto, Guilherme Luiz
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/5412544199323879
dc.contributor.advisor-co1.fl_str_mv Salau, Nina Paula Gonçalves
dc.contributor.advisor-co1Lattes.fl_str_mv http://lattes.cnpq.br/4234840503539989
dc.contributor.referee1.fl_str_mv Mallmann, Evandro Stoffels
dc.contributor.referee2.fl_str_mv Foletto, Edson Luiz
dc.contributor.referee3.fl_str_mv Oliveira, Jivago Schumacher de
dc.contributor.referee4.fl_str_mv Cadaval Junior, Tito Roberto Sant'Anna
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/9143386977603350
dc.contributor.author.fl_str_mv Franco, Dison Stracke Pfingsten
contributor_str_mv Dotto, Guilherme Luiz
Salau, Nina Paula Gonçalves
Mallmann, Evandro Stoffels
Foletto, Edson Luiz
Oliveira, Jivago Schumacher de
Cadaval Junior, Tito Roberto Sant'Anna
dc.subject.por.fl_str_mv Adsorção
Indio
ANN
PVSDM
EMTM
Resíduos
Quitina
Quitosana
topic Adsorção
Indio
ANN
PVSDM
EMTM
Resíduos
Quitina
Quitosana
Adsorption
Indium
Residues
Chitin
Chitosan
CNPQ::ENGENHARIAS::ENGENHARIA QUIMICA
dc.subject.eng.fl_str_mv Adsorption
Indium
Residues
Chitin
Chitosan
dc.subject.cnpq.fl_str_mv CNPQ::ENGENHARIAS::ENGENHARIA QUIMICA
description Technological development has increased the consumption of indium in the last decade and is currently classified as a critical material due to its scarcity. Its main application is related to the production of liquid crystal display. Due to this context, the recycling of indium is necessary. One route is to obtain it after leaching from a liquid crystal display, which can be done through the unitary adsorption operation. This work aimed to investigate the adsorption of In(III) using the neural network and mass transfer models. The adsorption of In (III) was evaluated using ten different adsorbents, activated carbon, multi-walled carbon nanotubes functionalized with OH, carbon nanotubes functionalized with COOH, chitin, chitosan, corn straw, sugarcane bagasse, orange peel and rice husks. The neural network models were able to predict the adsorption capacity for all adsorbents with R2 of 0.9998 and MSE 8.423x10-5 using ANFIS and R2 of 0.9913 and MSE 0.1721 using ANN. Among all ten adsorbents, the multiwalled carbon nanotubes functionalized with OH and another COOH, chitin and chitosan were the ones with the best adsorption capacity. It was found that chitosan has an In(III) adsorption capacity of 1000 mg g-1. Scanning electron microscopy of chitin and chitosan confirmed that both have a rigid surface without the presence of pores. Equilibrium isotherms showed that adsorption capacity increases with temperature. From the external mass transfer model and the modified Biot number values (8.82×10–4 and 2.71) it was found that the external mass transfer is the dominant phenomenon in the adsorption of In(III) onto chitin and chitosan. In summary, the In(III) atoms move out of solution and are instantly adsorbed to the surface through precipitation or coordination bonds.
publishDate 2021
dc.date.accessioned.fl_str_mv 2021-12-17T11:29:18Z
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dc.publisher.none.fl_str_mv Universidade Federal de Santa Maria
Centro de Tecnologia
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dc.publisher.country.fl_str_mv Brasil
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publisher.none.fl_str_mv Universidade Federal de Santa Maria
Centro de Tecnologia
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