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Establishment of a Modelica model for flow metering valve controlled pump and analysis on delivery and leakage characteristics

Author

Listed:
  • Wu, Yuelin
  • Fan, Liyun
  • Li, Bo
  • Wei, Yunpeng
  • Gu, Yuanqi
  • Wang, Jin

Abstract

With increasing supply pressure and pump speed in the high-pressure fuel pump (HPFP) of marine high-pressure common rail systems (HPCRS), efficiency deteriorates due to intensified leakage, cavitation, and inertial losses. Additionally, the fuel delivery characteristics are influenced by the coupled effects of the fuel metering valve (FMV) throttling and operational conditions, complicating the assurance of FMV reliability and fuel inlet stability. To analyze the mechanisms underlying these issues, a computationally efficient and accurate model is required to predict the dynamic performance under various operating conditions and partial loads. In this study, a customized Modelica library for HPFP was specifically developed and experimentally validated. The volumetric losses at fully open FMV conditions and fuel delivery characteristics under partially open FMV conditions were analyzed. Spectral analysis of inlet flow rates at varying throttle intensities was conducted to discuss reliability issues arising from hydraulic resonance. The results indicate that leakage loss significantly affects system volumetric efficiency, dominating under conditions of high supply pressure and low pump speed, accounting for up to 78 % of total volumetric losses. The cyclic fuel delivery quantity (CFDQ) is determined jointly by inlet characteristics at various FMV duty cycles and suction characteristics at different pump speeds. Hydraulic resonance occurs at an FMV duty cycle of 60 % and a pump speed of 1500 rev/min, resulting in a valve spool amplitude of 74 % of its maximum lift and unstable inlet flow conditions.

Suggested Citation

  • Wu, Yuelin & Fan, Liyun & Li, Bo & Wei, Yunpeng & Gu, Yuanqi & Wang, Jin, 2025. "Establishment of a Modelica model for flow metering valve controlled pump and analysis on delivery and leakage characteristics," Energy, Elsevier, vol. 339(C).
  • Handle: RePEc:eee:energy:v:339:y:2025:i:c:s0360544225046766
    DOI: 10.1016/j.energy.2025.139034
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    References listed on IDEAS

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