NDLI: A comparison of the predictions of a multiscale model and optical real area of contact measurements

Content Provider	IEEE Xplore Digital Library
Author	Jackson, Robert L. Down, Michael P. Liu, Hong McBride, John W.
Copyright Year	2014
Description	Author affiliation: Electro-mechanical Engineering, University of Southampton, UK (Down, Michael P.) \|\| University of Southampton-Malaysia Campus (Liu, Hong; McBride, John W.) \|\| Department of Mechanics Engineering, Auburn University, Auburn, AL, USA (Jackson, Robert L.)
Abstract	Rough surface contact is difficult to model effectively due to the existence of multiples scales of geometrical features (i.e. asperities). There are many different methodologies in the literature to theoretically predict the real area of contact, but few of these have been compared directly to experimental data. This is because it is very difficult to measure the real area of contact between surfaces due to an obstructed line-of-sight and the very small scale of the surface features that are in contact. This work presents the predictions of a multiscale rough surface contact model in comparison to measurements made of the real area of contact between a transparent glass surface pressed against a metallic surface. A laser profilometer is used to scan the deformed profile of the surface and therefore the contact area can be measured. The multiscale model is able to account for the resolution of the measurement by neglecting smaller scales of features. The multiscale model compares well with the measurements at low loads, but not at high loads. The real contact pressure predicted by the multiscale model and measured are both much higher than conventional hardness that is often used to predict the real area of contact.
Starting Page	1
Ending Page	8
File Size	348871
Page Count	8
File Format	PDF
e-ISBN	9781479960682
DOI	10.1109/HOLM.2014.7031026
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Rough surfaces Surface roughness Area measurement Load modeling Predictive models Surface resistance Mathematical model contact resistance and conductance rough surface contact experimental
Content Type	Text
Resource Type	Article

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