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Pin-on-Disc Modelling with Mesh Deformation Using Discrete Element Method.

Yunpeng Yan1, Rudy Helmons1,2, Dingena Schott1

  • 1Department of Maritime and Transport Technology, Delft University of Technology, 2628 CD Delft, The Netherlands.

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Summary
This summary is machine-generated.

This study validates a numerical model for pin-on-disc wear testing. The discrete element method accurately predicts wear volume and contour, correlating experimental and simulation results.

Keywords:
calibration of wear coefficientmesh deformationscaling factorsliding wear

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Area of Science:

  • Materials Science
  • Tribology
  • Computational Mechanics

Background:

  • The pin-on-disc test is a standard method for evaluating sliding wear properties.
  • Accurate prediction of wear behavior is crucial for material design and performance assessment.

Purpose of the Study:

  • To compare long-term laboratory pin-on-disc test performance with a short-term numerical model.
  • To evaluate the effect of mesh size on wear simulation results.
  • To establish a scaling factor for relating experimental and numerical model parameters.

Main Methods:

  • A discrete element method (DEM) was employed, integrated with the Archard wear model and deformable geometry.
  • The influence of mesh size on wear prediction was systematically investigated.
  • A scaling factor was developed to correlate experimental revolutions with simulation parameters.

Main Results:

  • Numerical simulations demonstrated that disc mesh size significantly impacts wear contour prediction.
  • Wear depth and width exhibited a normal distribution post run-in, while wear volume showed a quadratic relationship with revolutions.
  • Accurate matching of experimental and simulated wear volumes was achieved for a minimum of eight revolutions.

Conclusions:

  • The developed DEM model, combined with the Archard wear model, provides a reliable method for simulating pin-on-disc wear.
  • The study successfully calibrated a wear coefficient, showing good agreement between experimental and simulated wear volumes.
  • Mesh size is a critical parameter influencing the accuracy of wear contour predictions in DEM simulations.