Model of contact friction based on extreme value statistics
Azadeh Malekan, Shahin Rouhani

TL;DR
This paper introduces a contact friction model based on extreme value statistics, demonstrating how different distributions and contact models influence the relation between load and friction, with Gumbel distribution showing the best conformity to Amontons law.
Contribution
It combines EVS with asperity contact models to better understand friction laws, especially highlighting the role of Gumbel distribution and adhesion effects in contact mechanics.
Findings
Gumbel distribution closely mimics Amontons law over a wide range.
Elastic-plastic contact with Gumbel distribution shows best conformity.
Adhesion influences friction at zero or negative loads.
Abstract
We propose a model based on extreme value statistics (EVS) and combine it with different models for single asperity contact, including adhesive and elasto-plastic contacts, to derive a relation between the applied load and the friction force on a rough interface. We find that when the summit distribution is Gumbel, and the contact model is Hertzian we have the closest conformity with Amontons law. The range over which Gumbel distribution mimics Amontons law is wider than the Greenwood-Williamson Model. However exact conformity with Amonton's law does not seem for any of the well-known EVS distributions. On the other hand plastic deformations in contact area reduce the relative change of pressure slightly with Gumbel distribution. Elastic-plastic contact mixes with Gumbel distribution for summits. it shows the best conformity with Amonton`s law. Other extreme value statistics are also…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
