Projects per year
Abstract
Lubrication film thickness monitoring between moving contact surfaces within industrial machinery is of great research interest because it is linked to the efficiency and rate of maintenance of the machine. Ultrasound reflectometry shows potential within this field of research, primarily because the ultrasound transducers can be conveniently implemented in operation-ready machinery. In this article, the lubrication film thickness inside an operational radial piston motor is estimated using two adaptive ultrasound reflectometry methods. A new Gaussian random walk based adaptive ultrasound reflectometry method is compared against the existing layer phase-lag method with adaptive Extended Kalman filter based calibration. It is found that the new method proposed gives less noisy and more accurate lubrication film thickness estimates, but it is more difficult to tune. It is found that both methods can detect the significant lubrication film thickness dynamics present in a radial piston motor, but they need further investigation regarding their robustness and reliability.
Original language | English |
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Title of host publication | Proceedings of the BATH/ASME 2022 Symposium on Fluid Power and Motion Control |
Publisher | American Society of Mechanical Engineers |
Publication date | 1 Nov 2022 |
Article number | V001T01A025 |
ISBN (Electronic) | 9780791886335 |
DOIs | |
Publication status | Published - 1 Nov 2022 |
Event | BATH/ASME 2022 Symposium on Fluid Power and Motion Control - Bath, United Kingdom Duration: 14 Sept 2022 → 16 Sept 2022 |
Conference
Conference | BATH/ASME 2022 Symposium on Fluid Power and Motion Control |
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Country/Territory | United Kingdom |
City | Bath |
Period | 14/09/2022 → 16/09/2022 |
Fingerprint
Dive into the research topics of 'In-Situ Lubrication Film Thickness Measurements in a Radial Piston Motor Using Adaptive Ultrasound Reflectometry'. Together they form a unique fingerprint.Projects
- 2 Active
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Adaptive Ultrasound Reflectometry for Tribomechatronic Systems
01/08/2021 → 31/07/2024
Project: PhD Project
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UltrAdapt: Adaptive Ultrasound Reflectometry Techniques for Smart Tribology Systems
Independent Research Fund Denmark
01/09/2020 → 31/08/2024
Project: Research