Computational simulation of soybean particles flow in a hopper using computational fluid dynamics (CFD) and discrete elements method (DEM)
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Research, Society and Development |
Texto Completo: | https://rsdjournal.org/index.php/rsd/article/view/5463 |
Resumo: | The hoppers are the most common structures used in storage units for agricultural products such as grains and cereals. The soybean, which is one of the most common products in Brazil spend most of their time in a hopper between the stages of picking and shipment. Problems such as damage to the hopper structures during the outflow are factors that have been the subject of studies using computational models. Computational Fluid Dynamics (CFD) has played a big role in gas-solid systems study, together with the Discrete Element Method (DEM). This method manages both fluid phase as the solid phase, which in this case is granular, through the Eulerian and Lagrangian approach. The DEM is based on the interaction between the particles and each one is separately monitored. This work aims to calibrate the parameters of the spring-dashpot model, in the granular dynamics of fluids study, which influences the contact between the soy particles in the silo. For this purpose, a comparison was made of the experimental discharge time of soybeans into a hopper, with the time resulting from 27 simulations generated by a central composite design (CCD). Through the analysis of the simulations and statistics, it was possible to identify the factors that influence whether or not the time of discharge and establish a calibration of these parameters that best describe the experimental results. |
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Computational simulation of soybean particles flow in a hopper using computational fluid dynamics (CFD) and discrete elements method (DEM)Simulación computacional del flujo de partículas de soja en una tolva usando fluido dinámico computacional (CFD) y el método de elemento discreto (DEM)Simulação computacional do fluxo de partículas de soja em uma tremonha usando fluidodinâmica computacional (CFD) e o método dos elementos discretos (DEM)Computational simulationSoybeanHopperDischarge time.Simulação computacionalSojaTremonhaTempo de descarga.Simulación computacionalSojaTolvaTiempo de descarga.The hoppers are the most common structures used in storage units for agricultural products such as grains and cereals. The soybean, which is one of the most common products in Brazil spend most of their time in a hopper between the stages of picking and shipment. Problems such as damage to the hopper structures during the outflow are factors that have been the subject of studies using computational models. Computational Fluid Dynamics (CFD) has played a big role in gas-solid systems study, together with the Discrete Element Method (DEM). This method manages both fluid phase as the solid phase, which in this case is granular, through the Eulerian and Lagrangian approach. The DEM is based on the interaction between the particles and each one is separately monitored. This work aims to calibrate the parameters of the spring-dashpot model, in the granular dynamics of fluids study, which influences the contact between the soy particles in the silo. For this purpose, a comparison was made of the experimental discharge time of soybeans into a hopper, with the time resulting from 27 simulations generated by a central composite design (CCD). Through the analysis of the simulations and statistics, it was possible to identify the factors that influence whether or not the time of discharge and establish a calibration of these parameters that best describe the experimental results.Las tolvas son las estructuras más comunes utilizadas en las unidades de almacenamiento de productos agrícolas, como granos y cereales. La soja, que es uno de los productos más comunes en Brasil, pasa la mayor parte del tiempo en una tolva entre las etapas de cosecha y envío. Problemas como el daño a las estructuras de la tolva durante la salida son factores que han sido objeto de estudios utilizando modelos computacionales. La Dinámica de Fluidos Computacional (CFD) ha jugado un gran papel en el estudio de los sistemas de gas sólido, junto con el Método de Elementos Discretos (DEM). Este método gestiona la fase fluida y la fase sólida, que en este caso es granular, utilizando los enfoques Euleriano y Lagrangiano. El DEM se basa en la interacción entre las partículas y cada una se controla por separado. Este trabajo tiene como objetivo calibrar los parámetros del modelo "muelle-amortiguador", en el estudio de dinámica granular de los fluidos, que influyen en el contacto entre las partículas de soja en el silo. Para este propósito, se hizo una comparación del tiempo experimental para descargar la soja en una tolva, con el tiempo resultante de 27 simulaciones generadas por una planificación compuesta central (PCC). Mediante el análisis de las simulaciones y estadísticas, fue posible identificar los factores que influyen o no en el tiempo de descarga y establecer una calibración de estos parámetros que mejor describan los resultados experimentales.As tremonhas são as estruturas mais comuns usadas em unidades de armazenamento de produtos agrícolas, como grãos e cereais. A soja, que é um dos produtos mais comuns no Brasil, passa a maior parte do tempo em uma tremonha entre as etapas de colheita e embarque. Problemas como danos às estruturas da tremonha durante a saída são fatores que foram objeto de estudos usando modelos computacionais. A Fluidodinâmica Computacional (CFD) tem desempenhado um grande papel no estudo de sistemas gás-sólido, juntamente com o Método de Elementos Discretos (DEM). Esse método gerencia a fase fluida e a fase sólida, que neste caso é granular, por meio das abordagens Euleriana e Lagrangiana. O DEM é baseado na interação entre as partículas e cada uma é monitorada separadamente. Este trabalho tem por objetivo calibrar os parâmetros do modelo mola-amortecedor, presente no estudo da dinâmica granular dos fluidos, que influencia o contato entre as partículas de soja no silo. Para este fim foi feita a comparação do tempo experimental de descarga da soja em uma tremonha, com o tempo resultante de 27 simulações geradas por um planejamento composto central (PCC). Através da análise das simulações e estatísticas, foi possível identificar os fatores que influenciam o tempo de descarga ou não e estabelecer uma calibração desses parâmetros que melhor descrevem os resultados experimentais.Research, Society and Development2020-07-13info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/546310.33448/rsd-v9i8.5463Research, Society and Development; Vol. 9 No. 8; e448985463Research, Society and Development; Vol. 9 Núm. 8; e448985463Research, Society and Development; v. 9 n. 8; e4489854632525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIenghttps://rsdjournal.org/index.php/rsd/article/view/5463/5030Copyright (c) 2020 Jéssica Aparecida Apolinário de Paula, Érica Victor de Faria, Ana Christina Pitard Lima, José Luiz Vieira Neto, Kássia Graciele dos Santosinfo:eu-repo/semantics/openAccessPaula, Jéssica Aparecida Apolinário deFaria, Érica Victor deLima, Ana Christina PitardVieira Neto, José LuizSantos, Kássia Graciele dos2020-08-20T18:00:17Zoai:ojs.pkp.sfu.ca:article/5463Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:28:58.392413Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false |
dc.title.none.fl_str_mv |
Computational simulation of soybean particles flow in a hopper using computational fluid dynamics (CFD) and discrete elements method (DEM) Simulación computacional del flujo de partículas de soja en una tolva usando fluido dinámico computacional (CFD) y el método de elemento discreto (DEM) Simulação computacional do fluxo de partículas de soja em uma tremonha usando fluidodinâmica computacional (CFD) e o método dos elementos discretos (DEM) |
title |
Computational simulation of soybean particles flow in a hopper using computational fluid dynamics (CFD) and discrete elements method (DEM) |
spellingShingle |
Computational simulation of soybean particles flow in a hopper using computational fluid dynamics (CFD) and discrete elements method (DEM) Paula, Jéssica Aparecida Apolinário de Computational simulation Soybean Hopper Discharge time. Simulação computacional Soja Tremonha Tempo de descarga. Simulación computacional Soja Tolva Tiempo de descarga. |
title_short |
Computational simulation of soybean particles flow in a hopper using computational fluid dynamics (CFD) and discrete elements method (DEM) |
title_full |
Computational simulation of soybean particles flow in a hopper using computational fluid dynamics (CFD) and discrete elements method (DEM) |
title_fullStr |
Computational simulation of soybean particles flow in a hopper using computational fluid dynamics (CFD) and discrete elements method (DEM) |
title_full_unstemmed |
Computational simulation of soybean particles flow in a hopper using computational fluid dynamics (CFD) and discrete elements method (DEM) |
title_sort |
Computational simulation of soybean particles flow in a hopper using computational fluid dynamics (CFD) and discrete elements method (DEM) |
author |
Paula, Jéssica Aparecida Apolinário de |
author_facet |
Paula, Jéssica Aparecida Apolinário de Faria, Érica Victor de Lima, Ana Christina Pitard Vieira Neto, José Luiz Santos, Kássia Graciele dos |
author_role |
author |
author2 |
Faria, Érica Victor de Lima, Ana Christina Pitard Vieira Neto, José Luiz Santos, Kássia Graciele dos |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Paula, Jéssica Aparecida Apolinário de Faria, Érica Victor de Lima, Ana Christina Pitard Vieira Neto, José Luiz Santos, Kássia Graciele dos |
dc.subject.por.fl_str_mv |
Computational simulation Soybean Hopper Discharge time. Simulação computacional Soja Tremonha Tempo de descarga. Simulación computacional Soja Tolva Tiempo de descarga. |
topic |
Computational simulation Soybean Hopper Discharge time. Simulação computacional Soja Tremonha Tempo de descarga. Simulación computacional Soja Tolva Tiempo de descarga. |
description |
The hoppers are the most common structures used in storage units for agricultural products such as grains and cereals. The soybean, which is one of the most common products in Brazil spend most of their time in a hopper between the stages of picking and shipment. Problems such as damage to the hopper structures during the outflow are factors that have been the subject of studies using computational models. Computational Fluid Dynamics (CFD) has played a big role in gas-solid systems study, together with the Discrete Element Method (DEM). This method manages both fluid phase as the solid phase, which in this case is granular, through the Eulerian and Lagrangian approach. The DEM is based on the interaction between the particles and each one is separately monitored. This work aims to calibrate the parameters of the spring-dashpot model, in the granular dynamics of fluids study, which influences the contact between the soy particles in the silo. For this purpose, a comparison was made of the experimental discharge time of soybeans into a hopper, with the time resulting from 27 simulations generated by a central composite design (CCD). Through the analysis of the simulations and statistics, it was possible to identify the factors that influence whether or not the time of discharge and establish a calibration of these parameters that best describe the experimental results. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-07-13 |
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://rsdjournal.org/index.php/rsd/article/view/5463 10.33448/rsd-v9i8.5463 |
url |
https://rsdjournal.org/index.php/rsd/article/view/5463 |
identifier_str_mv |
10.33448/rsd-v9i8.5463 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/5463/5030 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Research, Society and Development |
publisher.none.fl_str_mv |
Research, Society and Development |
dc.source.none.fl_str_mv |
Research, Society and Development; Vol. 9 No. 8; e448985463 Research, Society and Development; Vol. 9 Núm. 8; e448985463 Research, Society and Development; v. 9 n. 8; e448985463 2525-3409 reponame:Research, Society and Development instname:Universidade Federal de Itajubá (UNIFEI) instacron:UNIFEI |
instname_str |
Universidade Federal de Itajubá (UNIFEI) |
instacron_str |
UNIFEI |
institution |
UNIFEI |
reponame_str |
Research, Society and Development |
collection |
Research, Society and Development |
repository.name.fl_str_mv |
Research, Society and Development - Universidade Federal de Itajubá (UNIFEI) |
repository.mail.fl_str_mv |
rsd.articles@gmail.com |
_version_ |
1797052652530434048 |