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Abstrakt
An important operational task for thermal turbines during run-up and run-down is to keep the stresses in the structural elements at a right level. This applies not only to their instantaneous values, but also to the impact of them on the engine lifetime. The turbine shaft is a particularly important element. The distribution of stresses depends on geometric characteristics of the shaft and its specific locations. This means a groove manufactured for fixing the rotor blades. The extreme stresses in this place occur during the start-up and the shaft heating to normal operating temperature. The process needs optimisation. Optimization tasks are multidisciplinary issues and can be carried out using different methods. In recent years, particular attention in optimisation has been paid to the use of artificial intelligence methods. Among them, a special role is assigned to genetic algorithms. The paper presents a genetic algorithm method to optimise the steam turbine shaft heating process during its start-up phase. The presented optimization task of this algorithm is to carry out the process of the shaft heating as soon as possible at the conditions of not exceeding the stresses at critical locations at any heating phase.
Cytowania
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Web of Science
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Autorzy (4)
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Krzysztof Dominiczak doktor
-
Romuald Rządkowski
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Pełna treść
- Wersja publikacji
- Accepted albo Published Version
- Licencja
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Informacje szczegółowe
- Kategoria:
- Publikacja w czasopiśmie
- Typ:
- artykuły w czasopismach
- Opublikowano w:
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Archives of Thermodynamics
nr 41,
strony 255 - 268,
ISSN: 1231-0956 - Język:
- angielski
- Rok wydania:
- 2020
- Opis bibliograficzny:
- Dominiczak K., Drosińska-Komor M., Rządkowski R., Głuch J.: Optimisation of turbine shaft heating process under steam turbine run-up conditions// Archives of Thermodynamics -Vol. 41,iss. 4 (2020), s.255-268
- DOI:
- Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.24425/ather.2020.135863
- Weryfikacja:
- Politechnika Gdańska
wyświetlono 129 razy
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