Archard wear

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Predictive modeling schemes for wear in tribometers

Study of wear in complex micro-mechanical components is often accomplished experimentally using a pin-
on-disc and twin-disc tribometer. The present paper proposes an approach that involves a computationally
efficient incremental implementation of Archard’s wear model on the global scale for modeling sliding and
slipping wear in such experiments. It will be shown that this fast simplistic numerical tool can be used to
identify the wear coefficient from pin-on-disc experimental data and also predict the wear depths within a
limited range of parameter variation. Further it will also be used to study the effect of introducing friction


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