• CN: 11-2187/TH
  • ISSN: 0577-6686

Journal of Mechanical Engineering ›› 2026, Vol. 62 ›› Issue (4): 400-412.doi: 10.3901/JME.260135

Previous Articles    

Study on Optimization of Non-symmetric Volute and Underlying Mechanism for Centrifugal Fan

WANG Wei1,2, WANG Junlong1, LUO Xingqi1,2, CU Tingting1, LU Jinling1,2, FENG Jianjun1,2   

  1. 1. Institute of Water Resources and Hydro-electric Engineering, Xi'an University of Technology, Xi'an 710048;
    2. State Key Laboratory of Eco-hydraulics in Northwest Arid Region, Xi'an University of Technology, Xi'an 710048
  • Received:2025-02-13 Revised:2025-09-12 Published:2026-04-02

Abstract: In order to reduce the flow loss in the volute of centrifugal fan, a design method of non-symmetric volute based on vortex control is proposed. Five design variables of the non-symmetric volute were selected as optimization parameters, and the total pressure rise and efficiency of centrifugal fan are taken as optimization objectives to carry out multi-objective optimization design. The mechanism of loss reduction of the volute is revealed using experiments and large-eddy numerical simulations. The optimized centrifugal fan with non-symmetric volute is tested experimentally. The results show that the total pressure rise of the fan under the design condition is 3.90% higher than that of the original, and the efficiency is improved by 5.02%. Mechanism analysis shows that the non-symmetric volute translates the high strength and large scale vortex in the original volute into low strength and small scale vortex, especially eliminates the high strength vortex near the volute tongue. Therefore, the volute loss is remarkably reduced. It is found that the vortex scale is inversely related to the fan efficiency via analyzing the vortex scale in the volute quantitatively. In addition, the non-symmetric volute significantly reduces the pressure pulsation of low frequency caused by high intensity vortices in the original volute.

Key words: centrifugal fan, vortex loss, volute optimization, genetic algorithm, fan efficiency

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