Model validation and uncertainty analysis in the wear prediction of a wet clutch
Document Type
Article
Publication Date
10-15-2016
Abstract
An uncertainty quantification analysis is performed to further investigate the nature of the “two-stage” wear process of the paper-based friction lining in a wet clutch. In this approach, the results of a computerized wear prediction model are examined through sensitivity analysis and a model validation that utilizes the Monte Carlo (MC) method. Extensive computational results that take into account the uncertainty and variability in the input data are presented to gain insight into the evolution of temperature and wear during the engagement process.
Publication Source (Journal or Book title)
Wear
First Page
112
Last Page
121
Recommended Citation
Li, M., Khonsari, M., Lingesten, N., Marklund, P., McCarthy, D., & Lundin, J. (2016). Model validation and uncertainty analysis in the wear prediction of a wet clutch. Wear, 364-365, 112-121. https://doi.org/10.1016/j.wear.2016.07.007