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Enhancement of a simplified model for maximum stress prediction

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Abstract

A simplified model for rapid estimation of maximum subsurface stress was previously reported by the authors. That model was found to predict the upper bound of the maximum von Mises stress in each layer below any surface with good accuracy. In this work, the model is enhanced by quantifying the difference between the predicted upper bound and the maximum stress for a specific rough surface. This is done by evaluating stress predictions for real rough surfaces, sinusoidal surfaces, ideal textured surfaces, and real rough surfaces with imposed computer generated texture. The difference between the predicted upper bound and the surface-specific maximum stress is found to be related to that surface’s roughness. The origin of this relationship is investigated in terms of apparent contact area. The enhanced simplified model provides an efficient means of estimating maximum stress in rough surface contact.

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Acknowledgements

The authors would like to express their sincere gratitude to the Eaton Corporation for providing surface digitization, Wayne W. Chen for assistance with plasticity modeling, and to the US National Science Foundation IGERT Program, Office of Naval Research, and Department of Energy for research support.

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Authors and Affiliations

  1. Department of Mechanical Engineering, Northwestern University, Evanston, IL, 60208, USA

    A. Martini & Q. J. Wang

  2. Ecole Polytechnique, Palaiseau, Paris, France

    G. Velter

  3. Department of Civil Engineering, Northwestern University, Evanston, IL, 60208, USA

    L. M. Keer

Authors
  1. A. Martini
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  2. G. Velter
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  3. L. M. Keer
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  4. Q. J. Wang
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Correspondence to A. Martini.

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Martini, A., Velter, G., Keer, L.M. et al. Enhancement of a simplified model for maximum stress prediction. Tribol Lett 27, 61–67 (2007). https://doi.org/10.1007/s11249-007-9205-1

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  • DOI: https://doi.org/10.1007/s11249-007-9205-1

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