Forecasting Chemical Characteristics of Aircraft Fuel Using Artificial Neural Networks
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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Instituto de Aeronáutica e Espaço (IAE)
2021-05-01
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| Series: | Journal of Aerospace Technology and Management |
| Subjects: | |
| Online Access: | https://www.jatm.com.br/jatm/article/view/1221 |
| _version_ | 1818193741734739968 |
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| author | Felipe Valverde Rocha Thiago Antonio Grandi de Tolosa Koshun Iha |
| author_facet | Felipe Valverde Rocha Thiago Antonio Grandi de Tolosa Koshun Iha |
| author_sort | Felipe Valverde Rocha |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-12T00:51:13Z |
| format | Article |
| id | doaj.art-4b19db2802664b89b0bf1f7b59bd5469 |
| institution | Directory Open Access Journal |
| issn | 2175-9146 |
| language | English |
| last_indexed | 2024-12-12T00:51:13Z |
| publishDate | 2021-05-01 |
| publisher | Instituto de Aeronáutica e Espaço (IAE) |
| record_format | Article |
| series | Journal of Aerospace Technology and Management |
| spelling | doaj.art-4b19db2802664b89b0bf1f7b59bd54692022-12-22T00:44:00ZengInstituto de Aeronáutica e Espaço (IAE)Journal of Aerospace Technology and Management2175-91462021-05-0113Forecasting Chemical Characteristics of Aircraft Fuel Using Artificial Neural NetworksFelipe Valverde RochaThiago Antonio Grandi de TolosaKoshun IhaAircraft 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.https://www.jatm.com.br/jatm/article/view/1221FuelTemperatureEnthalpyEntropyHeat |
| spellingShingle | Felipe Valverde Rocha Thiago Antonio Grandi de Tolosa Koshun Iha Forecasting Chemical Characteristics of Aircraft Fuel Using Artificial Neural Networks Journal of Aerospace Technology and Management Fuel Temperature Enthalpy Entropy Heat |
| title | 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_short | Forecasting Chemical Characteristics of Aircraft Fuel Using Artificial Neural Networks |
| title_sort | forecasting chemical characteristics of aircraft fuel using artificial neural networks |
| topic | Fuel Temperature Enthalpy Entropy Heat |
| url | https://www.jatm.com.br/jatm/article/view/1221 |
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