Prediction of non-stationary deformation of gas turbine using machine learning approach coupling between CFD and FEM model

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F24%3A00375067" target="_blank" >RIV/68407700:21220/24:00375067 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.21495/em2024-226" target="_blank" >https://doi.org/10.21495/em2024-226</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.21495/em2024-226" target="_blank" >10.21495/em2024-226</a>

Result language
angličtina
Original language name
Prediction of non-stationary deformation of gas turbine using machine learning approach coupling between CFD and FEM model
Original language description
After shutdown, the gas turbine rotor system cooling primarily through natural convection and radiation. It is presenting a common engineering challenge prevalent across various applications. In power engineering, this phenomenon has long been acknowledged and addressed through gradual startup and shutdown procedures of the rotor system. However, within the aircraft engine domain, this issue is more necessary due to the variable operating conditions and temperatures changes by flight modes or engine shutdown events. Moreover, engine aftercooling proves particularly arduous owing to the intricate geometry and equipment constraints. This paper delves into the application of a developed Finite Element Method (FEM) tool for predicting rotor thermal bow induced by temperature discrepancies between the upper and lower sides of the rotor. The paper meticulously elucidates the mathematical model of the FEM tool and expounds upon the calculation methodology for rotor deflection based on the selected geometry.
Czech name
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Czech description
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Project
<a href="/en/project/EF16_019%2F0000826" target="_blank" >EF16_019/0000826: Center of Advanced Aerospace Technology</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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