Please use this identifier to cite or link to this item: http://elar.urfu.ru/handle/10995/111450
Title: Mechanical, Structural and Scaling Properties of Coals: Depth-sensing Indentation Studies
Authors: Kossovich, E. L.
Borodich, F. M.
Epshtein, S. A.
Galanov, B. A.
Minin, M. G.
Prosina, V. A.
Issue Date: 2019
Publisher: Springer Verlag
Springer Science and Business Media LLC
Citation: Mechanical, Structural and Scaling Properties of Coals: Depth-sensing Indentation Studies / E. L. Kossovich, F. M. Borodich, S. A. Epshtein et al. — DOI 10.1016/j.polymer.2021.124093 // Applied Physics A: Materials Science and Processing. — 2019. — Vol. 125. — Iss. 3. — 195.
Abstract: This paper discusses special features of mechanical behaviour of coals discovered using depth-sensing indentation (DSI) techniques along with other traditional methods of material testing. Many of the special features are caused by the presence of multiscale complex heterogeneous internal structures within the samples and brittleness of some coal components. Experimental methodology for studying mechanical properties of coals and other natural extreme materials like bones is discussed. It is argued that values of microhardness of bituminous coals correlate strongly with the maximum load; therefore, the use of this parameter in application to coals may be meaningless. For analysis of the force-displacement curves obtained by DSI, both Oliver–Pharr and Galanov–Dub approaches are employed. It is argued that during nanoindentation, the integrity of the internal structure of a coal sample within a small area of high stress field near the tip of indenter may be destroyed. Hence, the standard approaches to mechanical testing of coals should be re-examined. © 2019, Springer-Verlag GmbH Germany, part of Springer Nature.
Keywords: BITUMINOUS COAL
FRACTURE MECHANICS
MECHANICAL PROPERTIES
DEPTH SENSING INDENTATION
EXPERIMENTAL METHODOLOGY
FORCE-DISPLACEMENT CURVES
INTERNAL STRUCTURE
MATERIAL TESTING
MAXIMUM LOAD
MECHANICAL BEHAVIOUR
SCALING PROPERTIES
MECHANICAL TESTING
URI: http://elar.urfu.ru/handle/10995/111450
Access: info:eu-repo/semantics/openAccess
SCOPUS ID: 85061829210
WOS ID: 000459145400007
PURE ID: 9075161
ISSN: 0947-8396
DOI: 10.1007/s00339-018-2282-1
Sponsorship: Acknowledgements Research was supported by the Russian Science Foundation (Grant № 16-17-10217).
RSCF project card: 16-17-10217
Appears in Collections:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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