Evaluation of effective diffusivity correlations for soybeans in thin layer drying
| Autor(a) principal: | |
|---|---|
| Data de Publicação: | 2020 |
| Outros Autores: | , , |
| Tipo de documento: | Artigo |
| Idioma: | eng |
| Título da fonte: | Revista de Engenharia Química e Química |
| DOI: | 10.18540/jcecvl6iss4pp0446-0452 |
| Texto Completo: | https://periodicos.ufv.br/jcec/article/view/10895 |
| Resumo: | Soybean is one of the main crops in the world and drying plays an important role in maintaining the quality of the grains. The present study aimed to evaluate different existing models regarding the ability to predict the effective diffusivity of soybeans, an important parameter in studies of the operation. The slope method was used to determine the effective diffusivity, starting from the second Fick's Law, with negligible shrinkage and external mass transfer resistance. The parameter was analyzed as being dependent on both temperature and moisture content. The correlation proposed by Dotto et al. (2018) was the one with the lowest average error (0.048%) for the consideration of an average effective diffusivity. In order to consider a punctual effective diffusivity, modifications were made to the Dotto model, providing a maximum error of 2.6%. |
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Revista de Engenharia Química e Química |
| spelling |
Evaluation of effective diffusivity correlations for soybeans in thin layer dryingAnálise de correlações da difusividade efetiva de grãos de soja submetidos a secagem em camada finaMass transferFick’s LawSlope methodSoybean is one of the main crops in the world and drying plays an important role in maintaining the quality of the grains. The present study aimed to evaluate different existing models regarding the ability to predict the effective diffusivity of soybeans, an important parameter in studies of the operation. The slope method was used to determine the effective diffusivity, starting from the second Fick's Law, with negligible shrinkage and external mass transfer resistance. The parameter was analyzed as being dependent on both temperature and moisture content. The correlation proposed by Dotto et al. (2018) was the one with the lowest average error (0.048%) for the consideration of an average effective diffusivity. In order to consider a punctual effective diffusivity, modifications were made to the Dotto model, providing a maximum error of 2.6%.A soja é uma das principais lavouras mundiais e a secagem desempenha importante papel na manutenção da qualidade dos grãos. O presente estudo teve como objetivo avaliar diferentes modelos existentes quanto a capacidade de previsão da difusividade efetiva da soja, parâmetro este importante nos estudos da operação. Utilizou-se o método das tangentes para a determinação da difusividade efetiva, a partir da segunda Lei de Fick, desprezando encolhimento e a resistência externa a transferência de massa. O parâmetro foi analisado como sendo dependente tanto da temperatura como do teor de umidade. A correlação proposta por Dotto et al. (2018) foi a que apresentou menor erro médio (0,048%) para os a consideração de uma difusividade efetiva média. Para a consideração de uma difusividade efetiva pontual, foram realizadas modificações no modelo de Dotto, proporcionando um erro máximo de 2,6%.Universidade Federal de Viçosa - UFV2020-10-21info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufv.br/jcec/article/view/1089510.18540/jcecvl6iss4pp0446-0452The Journal of Engineering and Exact Sciences; Vol. 6 No. 4 (2020); 0446-0452The Journal of Engineering and Exact Sciences; Vol. 6 Núm. 4 (2020); 0446-0452The Journal of Engineering and Exact Sciences; v. 6 n. 4 (2020); 0446-04522527-1075reponame:Revista de Engenharia Química e Químicainstname:Universidade Federal de Viçosa (UFV)instacron:UFVenghttps://periodicos.ufv.br/jcec/article/view/10895/6045Copyright (c) 2020 The Journal of Engineering and Exact Scienceshttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessd'Avila, FelipeUrnau, Rafael MaurícioBlauth, Amanda Mansano ZanellaMoreira, Marcos Flávio Pinto2021-02-23T20:11:08Zoai:ojs.periodicos.ufv.br:article/10895Revistahttp://www.seer.ufv.br/seer/rbeq2/index.php/req2/indexONGhttps://periodicos.ufv.br/jcec/oaijcec.journal@ufv.br||req2@ufv.br2446-94162446-9416opendoar:2021-02-23T20:11:08Revista de Engenharia Química e Química - Universidade Federal de Viçosa (UFV)false |
| dc.title.none.fl_str_mv |
Evaluation of effective diffusivity correlations for soybeans in thin layer drying Análise de correlações da difusividade efetiva de grãos de soja submetidos a secagem em camada fina |
| title |
Evaluation of effective diffusivity correlations for soybeans in thin layer drying |
| spellingShingle |
Evaluation of effective diffusivity correlations for soybeans in thin layer drying Evaluation of effective diffusivity correlations for soybeans in thin layer drying d'Avila, Felipe Mass transfer Fick’s Law Slope method d'Avila, Felipe Mass transfer Fick’s Law Slope method |
| title_short |
Evaluation of effective diffusivity correlations for soybeans in thin layer drying |
| title_full |
Evaluation of effective diffusivity correlations for soybeans in thin layer drying |
| title_fullStr |
Evaluation of effective diffusivity correlations for soybeans in thin layer drying Evaluation of effective diffusivity correlations for soybeans in thin layer drying |
| title_full_unstemmed |
Evaluation of effective diffusivity correlations for soybeans in thin layer drying Evaluation of effective diffusivity correlations for soybeans in thin layer drying |
| title_sort |
Evaluation of effective diffusivity correlations for soybeans in thin layer drying |
| author |
d'Avila, Felipe |
| author_facet |
d'Avila, Felipe d'Avila, Felipe Urnau, Rafael Maurício Blauth, Amanda Mansano Zanella Moreira, Marcos Flávio Pinto Urnau, Rafael Maurício Blauth, Amanda Mansano Zanella Moreira, Marcos Flávio Pinto |
| author_role |
author |
| author2 |
Urnau, Rafael Maurício Blauth, Amanda Mansano Zanella Moreira, Marcos Flávio Pinto |
| author2_role |
author author author |
| dc.contributor.author.fl_str_mv |
d'Avila, Felipe Urnau, Rafael Maurício Blauth, Amanda Mansano Zanella Moreira, Marcos Flávio Pinto |
| dc.subject.por.fl_str_mv |
Mass transfer Fick’s Law Slope method |
| topic |
Mass transfer Fick’s Law Slope method |
| description |
Soybean is one of the main crops in the world and drying plays an important role in maintaining the quality of the grains. The present study aimed to evaluate different existing models regarding the ability to predict the effective diffusivity of soybeans, an important parameter in studies of the operation. The slope method was used to determine the effective diffusivity, starting from the second Fick's Law, with negligible shrinkage and external mass transfer resistance. The parameter was analyzed as being dependent on both temperature and moisture content. The correlation proposed by Dotto et al. (2018) was the one with the lowest average error (0.048%) for the consideration of an average effective diffusivity. In order to consider a punctual effective diffusivity, modifications were made to the Dotto model, providing a maximum error of 2.6%. |
| publishDate |
2020 |
| dc.date.none.fl_str_mv |
2020-10-21 |
| dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| format |
article |
| status_str |
publishedVersion |
| dc.identifier.uri.fl_str_mv |
https://periodicos.ufv.br/jcec/article/view/10895 10.18540/jcecvl6iss4pp0446-0452 |
| url |
https://periodicos.ufv.br/jcec/article/view/10895 |
| identifier_str_mv |
10.18540/jcecvl6iss4pp0446-0452 |
| dc.language.iso.fl_str_mv |
eng |
| language |
eng |
| dc.relation.none.fl_str_mv |
https://periodicos.ufv.br/jcec/article/view/10895/6045 |
| dc.rights.driver.fl_str_mv |
Copyright (c) 2020 The Journal of Engineering and Exact Sciences https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
| rights_invalid_str_mv |
Copyright (c) 2020 The Journal of Engineering and Exact Sciences https://creativecommons.org/licenses/by/4.0 |
| eu_rights_str_mv |
openAccess |
| dc.format.none.fl_str_mv |
application/pdf |
| dc.publisher.none.fl_str_mv |
Universidade Federal de Viçosa - UFV |
| publisher.none.fl_str_mv |
Universidade Federal de Viçosa - UFV |
| dc.source.none.fl_str_mv |
The Journal of Engineering and Exact Sciences; Vol. 6 No. 4 (2020); 0446-0452 The Journal of Engineering and Exact Sciences; Vol. 6 Núm. 4 (2020); 0446-0452 The Journal of Engineering and Exact Sciences; v. 6 n. 4 (2020); 0446-0452 2527-1075 reponame:Revista de Engenharia Química e Química instname:Universidade Federal de Viçosa (UFV) instacron:UFV |
| instname_str |
Universidade Federal de Viçosa (UFV) |
| instacron_str |
UFV |
| institution |
UFV |
| reponame_str |
Revista de Engenharia Química e Química |
| collection |
Revista de Engenharia Química e Química |
| repository.name.fl_str_mv |
Revista de Engenharia Química e Química - Universidade Federal de Viçosa (UFV) |
| repository.mail.fl_str_mv |
jcec.journal@ufv.br||req2@ufv.br |
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1822180726459596800 |
| dc.identifier.doi.none.fl_str_mv |
10.18540/jcecvl6iss4pp0446-0452 |
