Prediction of temperature field distribution in a gas turbine using a higher order neural network
This paper presents the prediction of temperature field distribution in a single annular section using an artificial neural network (ANN). This temperature distribution is non-uniform on the outer tube due to continuous natural convection and radiation caused by the homogeneous steady-state heating...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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CTU Central Library
2023-12-01
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| Series: | Acta Polytechnica |
| Subjects: | |
| Online Access: | https://ojs.cvut.cz/ojs/index.php/ap/article/view/9354 |
| _version_ | 1797357636445798400 |
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| author | Jan Pařez Patrik Kovář Adam Tater |
| author_facet | Jan Pařez Patrik Kovář Adam Tater |
| author_sort | Jan Pařez |
| collection | DOAJ |
| description |
This paper presents the prediction of temperature field distribution in a single annular section using an artificial neural network (ANN). This temperature distribution is non-uniform on the outer tube due to continuous natural convection and radiation caused by the homogeneous steady-state heating of the inner tube, which represents the hot gas flow path through the turbine. The outer tube represents the case of a gas turbine. This temperature is important for the electronic components attached to the engine or the overall engine deformation. The presented approach allows for a quick estimation of the temperature distribution without the need to perform time consuming computational fluid dynamics (CFD) simulations. This can greatly accelerate the design and development of gas turbines. A machine learning approach is applied to an extensive set of CFD simulations under different operating conditions and geometry setups.
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| first_indexed | 2024-03-08T14:48:06Z |
| format | Article |
| id | doaj.art-88e2d1de3bc6474ca194e318f922d13e |
| institution | Directory Open Access Journal |
| issn | 1805-2363 |
| language | English |
| last_indexed | 2024-03-08T14:48:06Z |
| publishDate | 2023-12-01 |
| publisher | CTU Central Library |
| record_format | Article |
| series | Acta Polytechnica |
| spelling | doaj.art-88e2d1de3bc6474ca194e318f922d13e2024-01-11T07:58:16ZengCTU Central LibraryActa Polytechnica1805-23632023-12-0163610.14311/AP.2023.63.0430Prediction of temperature field distribution in a gas turbine using a higher order neural networkJan Pařez0Patrik Kovář1Adam Tater2Czech Technical University in Prague, Faculty of Mechanical Engineering, Center of Aviation and Space Research, Technická 4, Prague 6, Czech RepublicCzech Technical University in Prague, Faculty of Mechanical Engineering, Center of Aviation and Space Research, Technická 4, Prague 6, Czech RepublicCzech Technical University in Prague, Faculty of Mechanical Engineering, Center of Aviation and Space Research, Technická 4, Prague 6, Czech Republic This paper presents the prediction of temperature field distribution in a single annular section using an artificial neural network (ANN). This temperature distribution is non-uniform on the outer tube due to continuous natural convection and radiation caused by the homogeneous steady-state heating of the inner tube, which represents the hot gas flow path through the turbine. The outer tube represents the case of a gas turbine. This temperature is important for the electronic components attached to the engine or the overall engine deformation. The presented approach allows for a quick estimation of the temperature distribution without the need to perform time consuming computational fluid dynamics (CFD) simulations. This can greatly accelerate the design and development of gas turbines. A machine learning approach is applied to an extensive set of CFD simulations under different operating conditions and geometry setups. https://ojs.cvut.cz/ojs/index.php/ap/article/view/9354gas turbine coolingheat transferartificial neural networknatural convection |
| spellingShingle | Jan Pařez Patrik Kovář Adam Tater Prediction of temperature field distribution in a gas turbine using a higher order neural network Acta Polytechnica gas turbine cooling heat transfer artificial neural network natural convection |
| title | Prediction of temperature field distribution in a gas turbine using a higher order neural network |
| title_full | Prediction of temperature field distribution in a gas turbine using a higher order neural network |
| title_fullStr | Prediction of temperature field distribution in a gas turbine using a higher order neural network |
| title_full_unstemmed | Prediction of temperature field distribution in a gas turbine using a higher order neural network |
| title_short | Prediction of temperature field distribution in a gas turbine using a higher order neural network |
| title_sort | prediction of temperature field distribution in a gas turbine using a higher order neural network |
| topic | gas turbine cooling heat transfer artificial neural network natural convection |
| url | https://ojs.cvut.cz/ojs/index.php/ap/article/view/9354 |
| work_keys_str_mv | AT janparez predictionoftemperaturefielddistributioninagasturbineusingahigherorderneuralnetwork AT patrikkovar predictionoftemperaturefielddistributioninagasturbineusingahigherorderneuralnetwork AT adamtater predictionoftemperaturefielddistributioninagasturbineusingahigherorderneuralnetwork |