Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

Wyszukujesz frazę "Kaplan turbine" wg kryterium: Temat


Wyświetlanie 1-5 z 5
Tytuł:
Engineering design of low-head Kaplan hydraulic turbine blades using the inverse problem method
Autorzy:
Krzemianowski, Z.
Powiązania:
https://bibliotekanauki.pl/articles/200629.pdf
Data publikacji:
2019
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
inverse method
hydraulic turbine blade design
low-head Kaplan turbine
curvilinear coordinate system
Christoffel symbols
Opis:
The paper concerns the engineering design of guide vane and runner blades of hydraulic turbines using the inverse problem on the basis of the definition of a velocity hodograph, which is based on Wu’s theory [1, 2]. The design concerns the low-head double-regulated axial Kaplan turbine model characterized by a very high specific speed. The three-dimensional surfaces of turbine blades are based on meridional geometry that is determined in advance and, additionally, the distribution of streamlines must also be defined. The principles of the method applied for the hydraulic turbine and related to its conservation equations are also presented. The conservation equations are written in a curvilinear coordinate system, which adjusts to streamlines by means of the Christoffel symbols. This leads to significant simplification of the computations and generates fast results of three-dimensional blade surfaces. Then, the solution can be found using the method of characteristics. To assess usefulness of the design and robustness of the method, numerical and experimental investigations in a wide range of operations were carried out. Afterwards, the so-called shell characteristics were determined by means of experiments, which allowed to evaluate the method for application to the low-head (1.5 m) Kaplan hydraulic turbine model with the kinematic specific speed (»260). The numerical and experimental results show the successful usage of the method and it can be concluded that it will be useful in designing other types of Kaplan and Francis turbine blades with different specific speeds.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2019, 67, 6; 1133-1147
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Dynamic state assessment of the water turbine with the power of 600 kW
Ocena stanu dynamicznego turbiny wodnej o mocy 600 kW
Autorzy:
Żywica, G.
Bagiński, P.
Breńkacz, Ł.
Powiązania:
https://bibliotekanauki.pl/articles/328043.pdf
Data publikacji:
2013
Wydawca:
Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
Tematy:
machine's dynamic state
vibrodiagnostics
water turbine
Kaplan turbine
stan dynamiczny maszyny
wibrodiagnostyka
turbina wodna
turbina Kaplana
Opis:
The article discusses the results of experimental studies to assess the dynamic state of the turbine set with the Kaplan turbine. The dynamic assessment was made on the basis of appropriate standards, based on the measurement results of selected parameters of vibration, which have been measured for several states of the machine load. In addition, we attempted to identify the causes of the increased vibration levels based on the measured vibration spectrum and the temperature distribution on the machine casing. On the basis of analysis results, the tested fluidflow machine was qualified in the appropriate zone (defining the state of vibration) and identified the source of high levels of vibration.
W artykule omówiono wyniki badań eksperymentalnych mających na celu ocenę stanu dynamicznego hydrozespołu z turbiną Kaplana. Oceny stanu dynamicznego dokonano w oparciu o odpowiednie normy, na podstawie wyników pomiarów wybranych wielkości charakterystycznych drgań, które zostały zmierzone dla kilku stanów obciążenia maszyny. Dodatkowo, podjęto próbę wskazania przyczyn podwyższonego poziomu drgań w oparciu o zmierzone widma drgań oraz rozkład temperatury na korpusie maszyny. Na podstawie przeprowadzonych analiz zakwalifikowano badaną maszynę przepływową do odpowiedniej strefy (określającej jej stan drganiowy) oraz wskazano źródło podwyższonego poziomu drgań.
Źródło:
Diagnostyka; 2013, 14, 1; 65-70
1641-6414
2449-5220
Pojawia się w:
Diagnostyka
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Computational fluid dynamics simulations of small capacity Kaplan turbines
Autorzy:
Kaniecki, M.
Krzemianowski, Z.
Banaszek, M.
Powiązania:
https://bibliotekanauki.pl/articles/175414.pdf
Data publikacji:
2011
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
hydraulic Kaplan turbine
CFD simulations
determination of operating parameters
cam curve characteristic
hill diagram
Opis:
In the presented paper authors focused on numerical analysis of the flow through selected constructions of Kaplan and semi-Kaplan machines. The paper contains three computation examples; each of them concentrates on different aspects of computational fluid dynamics (CFD) utilization. The numerical tests of various turbulent models for Kaplan turbine CFD applications, numerical determination of the cam curve characteristic and numerical analysis of operating parameters of the semi-Kaplan machine have been presented. The methodology of the implemented numerical computations and final results of calculations have been discussed in each of the presented study cases.
Źródło:
Transactions of the Institute of Fluid-Flow Machinery; 2011, 123; 71-84
0079-3205
Pojawia się w:
Transactions of the Institute of Fluid-Flow Machinery
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Prediction of Kaplan turbine coordination tests based on least squares support vector machine with an improved grey wolf optimization algorithm
Autorzy:
Kong, Fannie
Xia, Jiahui
Yang, Daliang
Luo, Ming
Powiązania:
https://bibliotekanauki.pl/articles/2173627.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
Kaplan turbine
coordination tests
least squares support vector machine
improved grey wolf optimization
turbina Kaplana
test koordynacyjny
metoda najmniejszych kwadratów
ulepszona optymalizacja szarego wilka
Opis:
The optimum combination of blade angle of the runner and guide vane opening with Kaplan turbine can improve the hydroelectric generating the set operation efficiency and the suppression capability of oscillations. Due to time and cost limitations and the complex operation mechanism of the Kaplan turbine, the coordination test data is insufficient, making it challenging to obtain the whole curves at each head under the optimum coordination operation by field tests. The field test data is employed to propose a least-squares support vector machine (LSSVM)-based prediction model for Kaplan turbine coordination tests. Considering the small sample characteristics of the test data of Kaplan turbine coordination, the LSSVM parameters are optimized by an improved grey wolf optimization (IGWO) algorithm with mixed non-linear factors and static weights. The grey wolf optimization (GWO) algorithm has some deficiencies, such as the linear convergence factor, which inaccurately simulates the actual situation, and updating the position indeterminately reflects the absolute leadership of the leader wolf. The IGWO algorithm is employed to overcome the aforementioned problems. The prediction model is simulated to verify the effectiveness of the proposed IGWO-LSSVM. The results show high accuracy with small samples, a 2.59% relative error in coordination tests, and less than 1.85% relative error in non-coordination tests under different heads.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2021, 69, 3; art. no. e137124
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Prediction of Kaplan turbine coordination tests based on least squares support vector machine with an improved grey wolf optimization algorithm
Autorzy:
Kong, Fannie
Xia, Jiahui
Yang, Daliang
Luo, Ming
Powiązania:
https://bibliotekanauki.pl/articles/2128160.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
Kaplan turbine
coordination tests
least squares support vector machine
improved grey wolf optimization
turbina Kaplana
test koordynacyjny
metoda najmniejszych kwadratów
ulepszona optymalizacja szarego wilka
Opis:
The optimum combination of blade angle of the runner and guide vane opening with Kaplan turbine can improve the hydroelectric generating the set operation efficiency and the suppression capability of oscillations. Due to time and cost limitations and the complex operation mechanism of the Kaplan turbine, the coordination test data is insufficient, making it challenging to obtain the whole curves at each head under the optimum coordination operation by field tests. The field test data is employed to propose a least-squares support vector machine (LSSVM)-based prediction model for Kaplan turbine coordination tests. Considering the small sample characteristics of the test data of Kaplan turbine coordination, the LSSVM parameters are optimized by an improved grey wolf optimization (IGWO) algorithm with mixed non-linear factors and static weights. The grey wolf optimization (GWO) algorithm has some deficiencies, such as the linear convergence factor, which inaccurately simulates the actual situation, and updating the position indeterminately reflects the absolute leadership of the leader wolf. The IGWO algorithm is employed to overcome the aforementioned problems. The prediction model is simulated to verify the effectiveness of the proposed IGWO-LSSVM. The results show high accuracy with small samples, a 2.59% relative error in coordination tests, and less than 1.85% relative error in non-coordination tests under different heads.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2021, 69, 3; e137124, 1--9
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-5 z 5

    Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies