Abstract
As the flow state in the volute plays an important role in the energy loss of the squirrel cage fan, the optimization design of the fan volute has drawn great attention. To further improve the overall performance of the fan, the aerodynamic match between the volute and the inlet nozzle as well as the local flow pattern within the fan components should be considered in the optimization. In the present work, a high-dimensional optimization method based on the genetic algorithm, support vector regression surrogate model, Latin hypercube sampling method and the mixed adaptive sampling algorithm is developed. Then, the integrated optimization for inlet nozzle and volute of the fan is carried out, in which both the aerodynamic performance and the impeller-volute interaction are considered. The optimization results show that the total efficiency of the fan increases by 2.24% and the static pressure recover coefficient increases by 2.18%. The reversed flow at the impeller outlet is restrained, and the flow uniformity at the impeller inlet is improved. This work is helpful for the design of squirrel cage fans with high aerodynamic performance.
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Schedule a callMore From: Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy
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