Nanoindentation as an Adequate Tool for Studding Mechanical Properties of Cellulose Derivatives
G. Zamfirova, V. Gaydarov, J. Zhang, J.M. Zhang
Journal
NANOSCIENCE & NANOTECHNOLOGY: Nanostructured Materials Application and Innovation Transfers, Volume 19, Number 2, 2019
Article ID
6
Pages
28-32
Title
Nanoindentation as an Adequate Tool for Studding Mechanical Properties of Cellulose Derivatives
Author(s), Affiliation(s)
G. Zamfirova, Transport University "T. Kabsleshkov"
V. Gaydarov, Transport University "T. Kabsleshkov"
J. Zhang, CAS Key Laboratory of Engineering Plastics, CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences
J.M. Zhang, CAS Key Laboratory of Engineering Plastics, CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences
Keywords
Nanoindentation, load-displacement curve, indentation hardness, cellulose derivatives
Abstract
Nanoindentation methods as a part of contact mechanics are based on continuous measuring of the indentation depth at constant loading rate. The indentation apparatus records the load-displacement curves (indentation curves), which are a base for obtaining many indentation mechanical characteristics: universal hardness, Martens hardness, indentation hardness, creep behavior, indentation modulus, elastic-plastic properties etc. Now our research is focused on natural polymers, especially cellulose, including cellulose derivatives with different substituent.
Acknowledge/Funder
This work was funded by National Science Fund (Bilateral Project Bulgaria-China 01/10
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How to be cited
G. Zamfirova, V. Gaydarov, J. Zhang, J.M. Zhang, Nanoindentation As An Adequate Tool For Studding Mechanical Properties Of Cellulose Derivatives, Nanoscience & Nanotechnology, 19, .N 2 (2019) pp. 28-32
DOI
123
Date ASAP
3 August 2021
Date Published
18 October 2021
Article's URL
https://nsnt.iees.bas.bg/en/articles-123/show-162(6)
Corresponding author
Gergana Zamfirova, nsnt5@iees.bas.bg
Journal Metrics
- ISSN 1313-8995 (print)
- ISSN 2738-8743 (online)
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