TY - JOUR
T1 - Ultrasonic reflection measured oil film thickness in the slipper bearings of an aviation fuel piston pump
AU - Zheng, Peng
AU - Dou, Pan
AU - Wu, Quanzhong
AU - Jia, Yaping
AU - Wu, Tonghai
AU - Yu, Min
AU - Lei, Yaguo
AU - Reddyhoff, Tom
N1 - Publisher Copyright:
© 2024
PY - 2024/11/1
Y1 - 2024/11/1
N2 - Running on an ultra-thin dynamic oil film, the slipper bearing in an aviation fuel piston pump is vulnerable to lubrication failure. To improve lubrication performance, the slipper surface is often grooved. However, the eventual lubrication effects remain challenging to judge qualitatively due to inaccessible measurement of oil film thickness distribution during pump operation. Eddy current sensors have been attempted, but they inevitably damage the oil film itself, and the tribo-pair test bench or incomplete pump used cannot simulate the complete working performance of a real pump. Addressing this issue, an ultrasonic-based method is investigated for online monitoring of the oil film thickness in a grooved slipper bearing. Firstly, the influence of groove texture on acoustic reflection is investigated by dividing the acoustic echoes into that from the top and bottom of the grooved surface, respectively. On this basis, a reflection coefficient extraction method fusing the reference signal and reflected signals at the top and bottom of the grooved surface is proposed, which can accurately extract the reflection coefficient and thus calculate the oil film thickness. Secondly, the finite element simulation is carried out to reveal the universal effects of the groove structure on the classical calculation method. The theoretical validity of the proposed reflection coefficient extraction method is verified by finite element simulation and experiment. A real aviation fuel piston pump is adopted for experimental validation, which is thoroughly performed under various operating conditions. The ultrasound measurement method shows promising results that are consistent with the theoretical calculations.
AB - Running on an ultra-thin dynamic oil film, the slipper bearing in an aviation fuel piston pump is vulnerable to lubrication failure. To improve lubrication performance, the slipper surface is often grooved. However, the eventual lubrication effects remain challenging to judge qualitatively due to inaccessible measurement of oil film thickness distribution during pump operation. Eddy current sensors have been attempted, but they inevitably damage the oil film itself, and the tribo-pair test bench or incomplete pump used cannot simulate the complete working performance of a real pump. Addressing this issue, an ultrasonic-based method is investigated for online monitoring of the oil film thickness in a grooved slipper bearing. Firstly, the influence of groove texture on acoustic reflection is investigated by dividing the acoustic echoes into that from the top and bottom of the grooved surface, respectively. On this basis, a reflection coefficient extraction method fusing the reference signal and reflected signals at the top and bottom of the grooved surface is proposed, which can accurately extract the reflection coefficient and thus calculate the oil film thickness. Secondly, the finite element simulation is carried out to reveal the universal effects of the groove structure on the classical calculation method. The theoretical validity of the proposed reflection coefficient extraction method is verified by finite element simulation and experiment. A real aviation fuel piston pump is adopted for experimental validation, which is thoroughly performed under various operating conditions. The ultrasound measurement method shows promising results that are consistent with the theoretical calculations.
KW - Aviation fuel piston pump
KW - Oil film thickness
KW - Online monitoring
KW - Slipper bearing
KW - Ultrasonic measurement
UR - https://www.scopus.com/pages/publications/85197658091
U2 - 10.1016/j.ymssp.2024.111696
DO - 10.1016/j.ymssp.2024.111696
M3 - 文章
AN - SCOPUS:85197658091
SN - 0888-3270
VL - 220
JO - Mechanical Systems and Signal Processing
JF - Mechanical Systems and Signal Processing
M1 - 111696
ER -