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Prediction of subsurface stress in elastic perfectly plastic rough components

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Abstract

Understanding and anticipating the effects of surface roughness on subsurface stress in the design phase can help ensure that performance and life requirements are satisfied. One approach used to address this problem is to simulate contact between digitized real, machined surfaces, and then analyze the predicted subsurface stress field. Often, elastic-perfectly plastic contact models are used in these simulations because of their relative computational efficiency. Reported here is an analysis of the magnitude and location of maximum stress predicted using an elastic-perfectly plastic model. Trends are identified which then enable estimation of the upper bound of the simulation results based on surface discretization, operating conditions, and material properties. These estimations can be used as an effective and efficient tool for rapid prediction of maximum subsurface stress in real surface contact.

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Acknowledgments

The authors would like to express their sincere gratitude to the Eaton Corporation for providing surface digitization 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. Wang

  2. Ecole Polytechnique, Palaiseau, France

    B. Escoffier

  3. Caterpillar Inc., Peoria, IL, 61629-1480, USA

    S.B. Liu

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

    L.M. Keer

  5. Eaton Corporation, Southfield, MI, 48075, USA

    D. Zhu & M. Bujold

Authors
  1. A. Martini
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  2. B. Escoffier
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  3. Q. Wang
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  4. S.B. Liu
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  5. L.M. Keer
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  6. D. Zhu
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  7. M. Bujold
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Corresponding author

Correspondence to A. Martini.

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Martini, A., Escoffier, B., Wang, Q. et al. Prediction of subsurface stress in elastic perfectly plastic rough components. Tribol Lett 23, 243–251 (2006). https://doi.org/10.1007/s11249-006-9062-3

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  • DOI: https://doi.org/10.1007/s11249-006-9062-3

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