Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Non-direct estimations of adhesive and elastic properties of materials by depth-sensing indentation

Borodich, Feodor M. ORCID: and Galanov, Boris A. 2008. Non-direct estimations of adhesive and elastic properties of materials by depth-sensing indentation. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 464 (2098) , pp. 2759-2776. 10.1098/rspa.2008.0044

Full text not available from this repository.


Using the connection between depth-sensing indentation by spherical indenters and mechanics of adhesive contact, a new method for non-direct determination of adhesive and elastic properties of contacting materials is proposed. At low loads, the force–displacement curves reflect not only elastic properties but also adhesive properties of the contact, and therefore one can try to extract from experiments both the elastic characteristics of contacting materials (such as the reduced elastic modulus) and characteristics of molecular adhesion (such as the work of adhesion and the pull-off force) using a non-direct approach. The direct methods of estimations of the adhesive characteristics of materials currently used in experiments are rather complicated due to the instability of the experimental force–displacement diagrams for ultra-low tensile forces. The proposed method is based on the use of the stable experimental data for the elastic stage of the force–displacement curve and the mechanics of adhesive contact for spherical indenters. Since the experimental data always have some measurement errors, mathematical techniques for solving ill-posed problems are employed.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Engineering
Subjects: T Technology > T Technology (General)
Uncontrolled Keywords: adhesion of solids; depth-sensing indentation; contact mechanics
Publisher: Royal Society
ISSN: 1471-2946
Last Modified: 17 Oct 2022 09:43

Citation Data

Cited 45 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item