| Autor: |
Paresh Halder, Shin Hyung Rhee, Abdus Samad |
| Jazyk: |
angličtina |
| Rok vydání: |
2017 |
| Předmět: |
|
| Zdroj: |
International Journal of Naval Architecture and Ocean Engineering, Vol 9, Iss 1, Pp 11-24 (2017) |
| Druh dokumentu: |
article |
| ISSN: |
2092-6782 |
| DOI: |
10.1016/j.ijnaoe.2016.06.008 |
| Popis: |
The present work focuses multi-objective optimization of blade sweep for a Wells turbine. The blade-sweep parameters at the mid and the tip sections are selected as design variables. The peak-torque coefficient and the corresponding efficiency are the objective functions, which are maximized. The numerical analysis has been carried out by solving 3D RANS equations based on k-w SST turbulence model. Nine design points are selected within a design space and the simulations are run. Based on the computational results, surrogate-based weighted average models are constructed and the population based multi-objective evolutionary algorithm gave Pareto optimal solutions. The peak-torque coefficient and the corresponding efficiency are enhanced, and the results are analysed using CFD simulations. Two extreme designs in the Pareto solutions show that the peak-torque-coefficient is increased by 28.28% and the corresponding efficiency is decreased by 13.5%. A detailed flow analysis shows the separation phenomena change the turbine performance. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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