Wear Simulation

Category: Structural Analysis | Integrated 2026-04-06
CAE visualization for wear model theory - technical simulation diagram
Wear Simulation

Wear: Theoretical Foundations

What is Wear Simulation?

🧑‍🎓

Professor, can we simulate wear (material loss) using FEM?


🎓

Yes. It calculates material removal on contact surfaces based on the Archard wear law and updates the geometry.


$$ \frac{dV}{ds} = K \cdot \frac{F_n}{H} $$

$V$ is wear volume, $s$ is sliding distance, $K$ is wear coefficient, $F_n$ is normal force, $H$ is hardness.


🧑‍🎓

Wear is proportional to sliding distance. It's a simple model.


🎓

The Archard equation is the simplest, but provides practical accuracy for many wear problems.


Implementation in FEM

🎓

Wear simulation procedure (iterative):

1. Contact Analysis — Calculate contact pressure and sliding amount

2. Wear Amount Calculation — Wear depth using Archard's equation

3. Mesh Update — Move nodes by the worn amount

4. Contact Analysis Again — With the updated geometry

5. Iterate until convergence


🧑‍🎓

Updating the mesh each time seems tough.


🎓

Can be automated using Abaqus UMESHMOTION (adaptive meshing) or LS-DYNA *MAT_WEAR.


Summary

🎓

Key Points:


  • Archard Wear Law — $dV/ds = K F_n / H$
  • Iteration of Contact → Wear Amount → Mesh Update — Time evolution of wear
  • Abaqus UMESHMOTION — Updates wear surface with adaptive mesh
  • Bearings, Gears, Brake Pads — Main applications

Coffee Break Trivia

Archard Wear Law 1953

The Archard wear law, which forms the basis of wear simulation, originates from a paper published by J.F. Archard and W. Hirst in 1953. It is a simple proportional law: wear volume V = k × W × s / H (k: wear coefficient, W: load, s: sliding distance, H: hardness). Even after over 60 years, it continues to be used as the standard model for industrial wear prediction. This paper preceded the launch of the Wear journal (1957) and greatly contributed to the establishment of the academic field of tribology.

Computational Methods for Wear

FEM Implementation of Wear

🎓

```

*ADAPTIVE MESH, TYPE=CONTACT SURFACE

wear_surface

*ADAPTIVE MESH CONTROLS, MESHING FREQUENCY=1

*UMESHMOTION $ Calculate wear amount in user subroutine

```


LS-DYNA:

```

*MAT_WEAR

K, H $ Archard coefficient and hardness

```


🧑‍🎓

So LS-DYNA has a dedicated wear material model.


🎓

*MAT_WEAR automatically thins contact surface elements to represent wear. Wear progresses without remeshing.


Summary

🎓
  • Abaqus UMESHMOTION — Most flexible. Custom wear laws
  • LS-DYNA *MAT_WEAR — Dedicated material model. Simple setup

  • Coffee Break Trivia

    Numerical Scheme for Geometry Update

    The numerical core of wear FEM lies in the iterative process of "wear amount → node movement → mesh update → re-contact". In the Eulerian approach proposed by Podra & Andersson (1997), the wear amount for one cycle is calculated using the Archard law, boundary nodes are retracted in the normal direction, and then element distortion is corrected using a smoothing algorithm. This method is still referenced as a reference implementation for ABAQUS UMESHMOTION user subroutine implementations.

    Wear in Practice

    Wear in Practice

    🎓
    • Bearing Wear Life Prediction — Contact pressure × sliding → wear amount
    • Gear Tooth Surface Wear — Tooth profile change → meshing degradation
    • Brake Pad Wear — Pad thickness reduction → braking force change
    • Artificial Joint Wear — UHMWPE (Ultra-High Molecular Weight Polyethylene) wear particles → osteolysis

    • Practical Checklist

      🎓
      • [ ] Is the wear coefficient $K$ based on experimental data?
      • [ ] Is the sliding distance calculation correct?
      • [ ] Is the mesh update stable? (No element degradation?)
      • [ ] Is the wear profile physically reasonable?

      • Coffee Break Trivia

        Cutting Tool Wear Prediction

        FEM incorporating the Archard wear law for metal cutting tool life prediction has become widespread since the 2000s. In an analysis of carbide end mills published by Sandvik in the 2010s using the DEFORM code, the machining length until tool flank wear width VB=0.3mm was predicted under conditions of cutting speed 200m/min and depth of cut 1mm, with an error of ±18% compared to experimental values. This result is used for design decisions in tool coating optimization.

        Wear: Software & Solver Comparison

        Wear Tools

        🎓
        • Abaqus UMESHMOTION — Most flexible. Arbitrary wear laws
        • LS-DYNA *MAT_WEAR — Dedicated model. Simple setup
        • COMSOL — Wear coupling in multiphysics
        • KISSsoft — Dedicated for gear wear

        • Selection Guide

          🎓
          • General Wear SimulationAbaqus UMESHMOTION
          • Wear During ImpactLS-DYNA *MAT_WEAR
          • Gear Wear → KISSsoft + FEM

          • Coffee Break Trivia

            Advanced Wear Models Beyond Archard

            While Archard's law remains the industrial standard, several advanced wear models have been proposed since the 1980s. The Kragelsky model incorporates material hardness variation, the Lim-Ashby wear map classifies wear regimes (adhesive, abrasive, surface fatigue, tribochemical), and the Zum Gahr model accounts for grain size effects. However, their computational costs and parameter identification requirements limit their practical adoption. For routine engineering practice, Archard's law remains the first choice due to its simplicity and reasonable predictive accuracy.

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