Simultaneous Transfer Path Analysis of Axial Piston Pump Noise and Vibration
DOI:
https://doi.org/10.13052/ijfp1439-9776.2627Keywords:
Transfer path analysis, lumped parameter model, axial piston pumpAbstract
The recent trend in electrifying off-road vehicles has brought to light a critical issue – the noise emission of hydrostatic pumps and motors. In the transition from internal combustion engines (ICE) to electric motors, the previously masked noise from hydraulic pumps and motors has become significant in fluid power systems for off-road applications. The purpose of the present study is to develop an analyzing tool for the noise and vibration of hydrostatic pumps and motors. To achieve this goal, a dedicated lumped parameter model (LPM) was developed in Amesim. The numerical model takes into account various factors, including the fluid-dynamic path, unit kinematics, forces, and moments acting on the main components. The lumped parameter model simulates the internal forces/moments/ripples that cause noise and vibration of the axial piston pump. The method of simultaneous transfer path analysis (sTPA) is then applied to the relation between internal forces/moments/ripples and consequent noise and vibration.
With simultaneous excitation information provided by LPM and operational measurement of acoustic/vibration responses, sTPA estimates the frequency response functions between the excitations and acoustical/vibrational responses. Path contribution information provided by sTPA characterizes the significance of individual transfer paths. A 45cc pump was subjected to testing enabling the collection of noise and vibration data over a large range of operating conditions. With both measurement and simulation results, sTPA is conducted to analyze how the pump’s internal excitations correlate with pump noise and vibration. A parameter sensitivity analysis based on sTPA revealed that pump NVH exhibits maximum sensitivity to the X-moment excitation. This finding guides further exploration in quieter pump design, in which X-moment reduction is prioritized.
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