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Optimization of a Powerful Double-Intake and Rotor Squirrel Cage Fan
In the present study, a powerful double-intake and rotor squirrel cage fan is designed and optimized by using a developed optimization process loop based only on open source libraries: Dakota, Salome and OpenFoam. Eleven design parameters are selected in the impellers, blades and volute regions as optimization parameters to maximize the total efficiency. A coupling is achieved between CFD, Latin Hypercube Sampling (LHS), Kriging metamodel and the Efficient Global Optimization to find the optimal design. The Kriging and the EGO models predict accurately the efficiency ε with a maximum error of 1.22%.
Optimization of a Powerful Double-Intake and Rotor Squirrel Cage Fan
In the present study, a powerful double-intake and rotor squirrel cage fan is designed and optimized by using a developed optimization process loop based only on open source libraries: Dakota, Salome and OpenFoam. Eleven design parameters are selected in the impellers, blades and volute regions as optimization parameters to maximize the total efficiency. A coupling is achieved between CFD, Latin Hypercube Sampling (LHS), Kriging metamodel and the Efficient Global Optimization to find the optimal design. The Kriging and the EGO models predict accurately the efficiency ε with a maximum error of 1.22%.
Optimization of a Powerful Double-Intake and Rotor Squirrel Cage Fan
Environ Sci Eng
Wang, Liangzhu Leon (editor) / Ge, Hua (editor) / Zhai, Zhiqiang John (editor) / Qi, Dahai (editor) / Ouf, Mohamed (editor) / Sun, Chanjuan (editor) / Wang, Dengjia (editor) / Le Hocine, Alla Eddine Benchikh (author) / Poncet, Sébastien (author) / Fellouah, Hachimi (author)
International Conference on Building Energy and Environment ; 2022
Proceedings of the 5th International Conference on Building Energy and Environment ; Chapter: 237 ; 2221-2225
2023-09-05
5 pages
Article/Chapter (Book)
Electronic Resource
English
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