Abstract
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. Thirteen design parameters are selected for the trimming and in the impellers, blades and volute regions. The total efficiency and the force applied on the impeller are improved by maximizing and minimizing their values, respectively. A coupling was achieved between CFD, Latin Hypercube Sampling, Kriging metamodel and the Efficient Global Optimization to find the optimal design. Configuration 2 allows to improve the efficiency by 7.64% and to reduce the force by 33.36% compared to Configuration 1. The Kriging and the EGO models predict with accuracy the objective functions of the optimal design with a maximum error of 4.50%. Based on the optimal design of Configuration 2, a blade trimming was applied, which allows to improve the initial efficiency by 7.86%. The optimal prototype over all configurations was built and validated successfully against experimental data with a maximum error of 1.10%.
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