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<p>Centrifugal fuel pumps, as a key component of aeroengines, directly impact the performance and reliability of the engine. In response to this, this paper proposes a multidisciplinary optimization design method suitable for centrifugal fuel pumps to enhance hydraulic performance and structural strength. This method combines artificial neural networks and particle swarm optimization to adjust the distribution of blade wrap angle and thickness, with constraints on head coefficient and maximum impeller stress, aiming to maximize efficiency and minimize deformation. The optimization results show a 4.4% increase in efficiency and a 0.6&#xa0;μm decrease in maximum blade deformation while maintaining the head coefficient and maximum stress without deterioration. Furthermore, a comparative analysis of internal flow between the optimized and original models was conducted, revealing the impact mechanisms of blade wrap angle and thickness on internal flow and structural strength. It was found that the rearward movement and thinning of the leading edge of the blade are beneficial in improving pump efficiency and reducing impeller deformation. Additionally, an investigation into the cavitation performance of the pump was carried out, showing an enhancement in cavitation performance for the optimized model as well. </p>

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Multidisciplinary optimization design and flow analysis of the centrifugal fuel pump

  • 期刊论文

  • 发表日期：

    2025年5月2日

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  • Tianxin Wu,
  • Kai Wang,
  • Ling Zhang,
  • Runan Hua,
  • Denghao Wu,
  • Houlin Liu

摘要

Centrifugal fuel pumps, as a key component of aeroengines, directly impact the performance and reliability of the engine. In response to this, this paper proposes a multidisciplinary optimization design method suitable for centrifugal fuel pumps to enhance hydraulic performance and structural strength. This method combines artificial neural networks and particle swarm optimization to adjust the distribution of blade wrap angle and thickness, with constraints on head coefficient and maximum impeller stress, aiming to maximize efficiency and minimize deformation. The optimization results show a 4.4% increase in efficiency and a 0.6 μm decrease in maximum blade deformation while maintaining the head coefficient and maximum stress without deterioration. Furthermore, a comparative analysis of internal flow between the optimized and original models was conducted, revealing the impact mechanisms of blade wrap angle and thickness on internal flow and structural strength. It was found that the rearward movement and thinning of the leading edge of the blade are beneficial in improving pump efficiency and reducing impeller deformation. Additionally, an investigation into the cavitation performance of the pump was carried out, showing an enhancement in cavitation performance for the optimized model as well.