Sliding velocity in wear simulation

Kindly incorporate a feature that allows for the input of sliding velocity in the wear simulation, as I believe the Archard wear model’s lack of sliding velocity input presents a significant limitation. Thank you!

One should be able to vary speed Or is there an alternnative I am not aware of?

The Archard wear model in PrePoMax is discretized on time increments and used in a static analysis. For each time increment, the relative sliding distance and the contact pressure are used to compute the energy that determines the volume of the removed material. The sliding distance is the distance the master part in contact moved along the node of the slave part. So, this sliding distance indirectly represents the velocity.

Noted, thank you. However, I believe that with some improvements, we could achieve more accurate results for:

  1. The Archard wear model is typically applied in dynamic conditions, as wear is often a result of continuous movement and fluctuating forces. Using a static analysis approach might not capture the full complexity of wear, especially in real-life scenarios involving high-speed and high-frequency interactions.

  2. Wear is cumulative and highly dependent on real-time interactions between the contacting surfaces. Discretizing the model into time increments might introduce inaccuracies if the time steps are too large or do not represent the actual wear process well, especially in complex systems like bulldozer blade used in construction or mining.

  3. Since velocity is not directly modeled but inferred from the sliding distance over time increments, this could lead to less accurate wear predictions in cases where the speed varies significantly. The indirect velocity representation may not fully account for dynamic changes in contact conditions (like varying loads or speeds).

I wanted to to simulate the interaction between the surface of the bulldozer blade and the kimberlite tailings during the blade’s operation of pushing the material.

In my opinion, your simulation task is beyond the CalculiX capabilities. It would require a dynamic analysis with support for discrete elements.

Right. Abaqus uses ALE (Arbitrary Lagrangian-Eulerian) adaptive meshing for that. But your case looks more like a problem for particle methods - DEM or SPH. Check OpenRadioss, it has some SPH capabilities and it’s meant for dynamics.

Noted, and Thank you