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TECHNICAL PAPERS

Modeling and Identification of Lubricated Polymer Friction Dynamics

[+] Author and Article Information
Geesern Hsu

Center for Robust Design, Faculty of Engineering, National University of Singapore, Singapore 119260

Andrew E. Yagle

Department of Electrical Engineering and Computer Science, The University of Michigan, Ann Arbor, MI 48109-2125

Kenneth C. Ludema

Department of Mechanical Engineering and Applied Mechanics, The University of Michigan, Ann Arbor, MI 48109-2125

Joel A. Levitt

Scientific Research Laboratories, The Ford Motor Company, Dearborn, MI 48121

J. Dyn. Sys., Meas., Control 122(1), 78-88 (Oct 11, 1996) (11 pages) doi:10.1115/1.482431 History: Received October 11, 1996
Copyright © 2000 by ASME
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References

Figures

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Stribeck curve. The duty parameter is defined as μfv/Fn where μf is the lubricant viscosity, v is the sliding velocity, and Fn is the normal force per unit contact area.
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A simplified condition of polymer-to-metal contact with lubricant. mh is the average separation between the polymer and metal surfaces with maximum MM and minimum Mm,As is the local deformation on the polymer surface with maximum AM and minimum Am.
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Schematic of a hydraulic actuator, the seals are all made of polymers and both sides of the piston are filled with hydraulic fluid. Lubricated polymer friction exists at all seal-to-metal contacts.
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Comparison of the deterministic model (dashed line) and the measured data (solid line)
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Comparison of the overall stochastic model (dashed line) and the measured data (solid line)
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The estimated normalized autocorrelation function of the prediction error of the stochastic model. The two parallel dashed lines denote 95% confidence interval.
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A close-up of the extended Kalman filter’s estimates (marked by  * ) and the measured data (solid line) after 1 hour and 32 minutes of reciprocating sliding
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The estimated normalized autocorrelation function of the prediction error of the extended Kalman filter after 1 hour and 32 minutes of reciprocating sliding. The two parallel dashed lines denote 95% confidence interval.
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A close-up of the extended Kalman filter’s estimates (marked by  * ) and the measured data (solid line) after 8 hours of reciprocating sliding
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The estimated normalized autocorrelation function of the prediction error of the extended Kalman filter after 8 hours of reciprocating sliding. The two parallel dashed lines denote 95% confidence interval.
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The trajectory of parameter a2 after 1 hour and 32 minutes of reciprocating sliding
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The trajectory of parameter a2 after 8 hours of reciprocating sliding
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The trajectory of parameter β3 after 1 hour and 32 minutes of reciprocating sliding
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The trajectory of parameter β3 after 8 hours of reciprocating sliding

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