Forecasting Chemical Characteristics of Aircraft Fuel Using Artificial Neural Networks
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Journal of Aerospace Technology and Management (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2175-91462021000100322 |
Resumo: | ABSTRACT Aircraft fuels, called jet propulsion, are used in several areas of activity within aeronautics. There are jet fuels based on kerosene, that is, those obtained commercially, and there are synthetics produced in the laboratory. All of these fuels are included within the so-called propellants. In this article, Jet propulsion-8 (JP 8) fuel was used as the basis for data analysis, and thus two temperature ranges were analyzed. The first range, from 300 to 2500 K, was analyzed for specific heat, enthalpy and entropy. Based on theoretical and experimental data, artificial neural networks (ANNs) were developed to identify these properties in other working conditions, that is, at other temperatures. |
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Journal of Aerospace Technology and Management (Online) |
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Forecasting Chemical Characteristics of Aircraft Fuel Using Artificial Neural NetworksFuelTemperatureEnthalpyEntropyHeatABSTRACT Aircraft fuels, called jet propulsion, are used in several areas of activity within aeronautics. There are jet fuels based on kerosene, that is, those obtained commercially, and there are synthetics produced in the laboratory. All of these fuels are included within the so-called propellants. In this article, Jet propulsion-8 (JP 8) fuel was used as the basis for data analysis, and thus two temperature ranges were analyzed. The first range, from 300 to 2500 K, was analyzed for specific heat, enthalpy and entropy. Based on theoretical and experimental data, artificial neural networks (ANNs) were developed to identify these properties in other working conditions, that is, at other temperatures.Departamento de Ciência e Tecnologia Aeroespacial2021-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2175-91462021000100322Journal of Aerospace Technology and Management v.13 2021reponame:Journal of Aerospace Technology and Management (Online)instname:Departamento de Ciência e Tecnologia Aeroespacial (DCTA)instacron:DCTA10.1590/jatm.v13.1221info:eu-repo/semantics/openAccessRocha,Felipe ValverdeIha,KoshunTolosa,Thiago Antonio Grandi deeng2021-05-19T00:00:00Zoai:scielo:S2175-91462021000100322Revistahttp://www.jatm.com.br/ONGhttps://old.scielo.br/oai/scielo-oai.php||secretary@jatm.com.br2175-91461984-9648opendoar:2021-05-19T00:00Journal of Aerospace Technology and Management (Online) - Departamento de Ciência e Tecnologia Aeroespacial (DCTA)false |
dc.title.none.fl_str_mv |
Forecasting Chemical Characteristics of Aircraft Fuel Using Artificial Neural Networks |
title |
Forecasting Chemical Characteristics of Aircraft Fuel Using Artificial Neural Networks |
spellingShingle |
Forecasting Chemical Characteristics of Aircraft Fuel Using Artificial Neural Networks Rocha,Felipe Valverde Fuel Temperature Enthalpy Entropy Heat |
title_short |
Forecasting Chemical Characteristics of Aircraft Fuel Using Artificial Neural Networks |
title_full |
Forecasting Chemical Characteristics of Aircraft Fuel Using Artificial Neural Networks |
title_fullStr |
Forecasting Chemical Characteristics of Aircraft Fuel Using Artificial Neural Networks |
title_full_unstemmed |
Forecasting Chemical Characteristics of Aircraft Fuel Using Artificial Neural Networks |
title_sort |
Forecasting Chemical Characteristics of Aircraft Fuel Using Artificial Neural Networks |
author |
Rocha,Felipe Valverde |
author_facet |
Rocha,Felipe Valverde Iha,Koshun Tolosa,Thiago Antonio Grandi de |
author_role |
author |
author2 |
Iha,Koshun Tolosa,Thiago Antonio Grandi de |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Rocha,Felipe Valverde Iha,Koshun Tolosa,Thiago Antonio Grandi de |
dc.subject.por.fl_str_mv |
Fuel Temperature Enthalpy Entropy Heat |
topic |
Fuel Temperature Enthalpy Entropy Heat |
description |
ABSTRACT Aircraft fuels, called jet propulsion, are used in several areas of activity within aeronautics. There are jet fuels based on kerosene, that is, those obtained commercially, and there are synthetics produced in the laboratory. All of these fuels are included within the so-called propellants. In this article, Jet propulsion-8 (JP 8) fuel was used as the basis for data analysis, and thus two temperature ranges were analyzed. The first range, from 300 to 2500 K, was analyzed for specific heat, enthalpy and entropy. Based on theoretical and experimental data, artificial neural networks (ANNs) were developed to identify these properties in other working conditions, that is, at other temperatures. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2175-91462021000100322 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2175-91462021000100322 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/jatm.v13.1221 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Departamento de Ciência e Tecnologia Aeroespacial |
publisher.none.fl_str_mv |
Departamento de Ciência e Tecnologia Aeroespacial |
dc.source.none.fl_str_mv |
Journal of Aerospace Technology and Management v.13 2021 reponame:Journal of Aerospace Technology and Management (Online) instname:Departamento de Ciência e Tecnologia Aeroespacial (DCTA) instacron:DCTA |
instname_str |
Departamento de Ciência e Tecnologia Aeroespacial (DCTA) |
instacron_str |
DCTA |
institution |
DCTA |
reponame_str |
Journal of Aerospace Technology and Management (Online) |
collection |
Journal of Aerospace Technology and Management (Online) |
repository.name.fl_str_mv |
Journal of Aerospace Technology and Management (Online) - Departamento de Ciência e Tecnologia Aeroespacial (DCTA) |
repository.mail.fl_str_mv |
||secretary@jatm.com.br |
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1754732532390166528 |