Condition Monitoring Method for Automatic Transmission Clutches

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Published Oct 18, 2020
Agusmian Partogi Ompusunggu Jean-Michel Papy Steve Vandenplas Paul Sas Hendrik Van Brussel

Abstract

This paper presents the development of a condition monitoring method for wet friction clutches which might be useful for automatic transmission applications. The method is developed
based on quantifying the change of the relative rotational velocity signal measured between the input and output shaft of a clutch. Prior to quantifying the change, the raw velocity signal is preprocessed to capture the relative velocity signal of interest. Three dimensionless parameters, namely the normalized engagement duration, the normalized Euclidean distance and the spectral angle mapper distance, that can be easily extracted from the signal of interest are proposed in this paper to quantify the change. In order to experimentally evaluate and verify the potential of the proposed method, clutches’ life data obtained by conducting accelerated life tests on some commercial clutches with different lining friction materials using a fully instrumented SAE#2 test setup, are utilized for this purpose. The aforementioned parameters extracted from the experimental data clearly exhibit progressive changes during the clutch service life and are well correlated with the evolution of the mean coefficient of friction (COF), which can be seen as a reference feature. Hence, the quantities proposed in this paper can therefore be seen as principle features that may enable us to monitor and assess the condition of wet friction clutches.

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Keywords

on-line condition monitoring, Wet friction clutches, dissimilarity measures, automatic transmissions

References
Fei, J., Li, H.-J., Qi, L.-H., Fu, Y.-W., & Li, X.-T. (2008). Carbon-Fiber Reinforced Paper-Based Friction Material: Study on Friction Stability as a Function of Operating Variables. Journal of Tribology, 130(4), 041605.
Gao, H., & Barber, G. C. (2002). Microcontact Model for Paper-BasedWet Friction Materials. Journal of Tribology, 124(2), 414 - 419.
Guan, J.,Willermet, P., Carter, R., & Melotik., D. (1998). Interaction Between ATFs and FrictionMaterial forModulated Torque Converter Clutches. SAE Technical Paper, 981098, 245252.
Jullien, A., Meurisse, M., & Berthier, Y. (1996). Determination of tribological history and wear through visualisation in lubricated contacts using a carbon-based composite. Wear, 194(1 - 2), 116 - 125.
Kruse, F., Lefkoff, A., Boardman, J., Heidebrecht, K., Shapiro, A., Barloon, P., et al. (1993). The spectral image processing system (SIPS) - interactive visualization and analysis of imaging spectrometer data. Remote Sensing of Environment, 44(2-3), 145 - 163.
Li, S., Devlin, M., Tersigni, S., Jao, T.-C., Yatsunami, K., & Cameron., T. (2003). Fundamentals of Anti-Shudder Durability: Part I - Clutch Plate Study. SAE Technical Paper, 2003-01-1983, 51 62.
Maeda, M., & Murakami, Y. (2003). Testing method and effect of ATF performance on degradation of wet friction materials. SAE Technical Paper, 2003-01-1982, 45 -50.
Matsuo, K., & Saeki, S. (1997). Study on the change of friction characteristics with use in the wet clutch of automatic transmission. SAE Technical Paper, 972928, 93 - 98.
Nyman, P.,Maki, R., Olsson, R., & Ganemi, B. (2006). Influence of surface topography on friction characteristics in wet clutch applications. Wear, 261(1), 46 - 52. (Papers presented at the 11th Nordic Symposium on Tribology, NORDTRIB 2004)
Ompusunggu, A. P., Janssens, T., Al-Bender, F., Sas, P., & VanBrussel, H. (2011). Engagement behavior of degrading wet friction clutches. In 2011 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM2011).
Ompusunggu, A. P., Papy, J.-M., Vandenplas, S., Sas, P., & VanBrussel, H. (n.d.). A novel monitoring method of wet friction clutches based on the post-lockup torsional vibration signal. Mechanical Systems and Signal Processing, submitted after revision.
Ompusunggu, A. P., Papy, J.-M., Vandenplas, S., Sas, P., & VanBrussel, H. (2009). Exponential data fitting for features extraction in condition monitoring of paperbased wet clutches. In C. Gentile, F. Benedettini, R. Brincker, & N. Moller (Eds.), The Proceedings of the 3rd International OperationalModal Analysis Conference (IOMAC) (Vol. 1, p. 323-330). Starrylink Editrice
Brescia.
Ompusunggu, A. P., Sas, P., VanBrussel, H., Al-Bender, F., Papy, J.-M., & Vandenplas, S. (2010). Pre-filtered Hankel Total Least Squares method for condition monitoring of wet friction clutches. In The Proceedings of the 7th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies (CM-MFPT). Coxmor Publishing Company.
Ompusunggu, A. P., Sas, P., VanBrussel, H., Al-Bender, F., Papy, J.-M., & Vandenplas, S. (2011). Normal-mode vibration analysis for condition monitoring of wet friction clutches. In Proceedings of the 24th International Congress on Condition Monitoring and Diagnostic Engineering Management (COMADEM).
Ompusunggu, A. P., Sas, P., VanBrussel, H., Al-Bender, F., & Vandenplas, S. (2010). Statistical feature extraction of pre-lockup torsional vibration signals for condition monitoring of wet friction clutches. In Proceedings of ISMA2010 Including USD2010.
Ost, W., Baets, P. D., & Degrieck, J. (2001). The tribological behaviour of paper friction plates for wet clutch application investigated on SAE # II and pin-on-disk test rigs. Wear, 249(5-6), 361 - 371.
Paclik, P., & Duin, R. P. W. (2003). Dissimilarity-based classification of spectra: computational issues. Real- Time Imaging, 9(4), 237 - 244.
SAE-International. (2012). SAE No. 2 Friction Test Machine Durability Test (Vol. SAE J2489).
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Technical Papers