Exploring digital image correlation technique for the analysis of the tensile properties of all-cellulose composites
Access rights
openAccess
URL
Journal Title
Journal ISSN
Volume Title
A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
This publication is imported from Aalto University research portal.
View publication in the Research portal (opens in new window)
View/Open full text file from the Research portal (opens in new window)
Other link related to publication (opens in new window)
View publication in the Research portal (opens in new window)
View/Open full text file from the Research portal (opens in new window)
Other link related to publication (opens in new window)
Date
2021-05
Department
Major/Subject
Mcode
Degree programme
Language
en
Pages
14
4165-4178
4165-4178
Series
Cellulose, Volume 28, issue 7
Abstract
Abstract: All-cellulose composites (ACCs) were prepared from filter paper via partial dissolution in the ionic liquid 1-ethyl-3-methylimidazolium acetate, and material tensile properties were investigated using various approaches. One is based on data directly taken from a tensile testing machine, and the other uses two-cameras stereovision with digital image correlation (DIC) technique. In the latter case, virtual extensometer with different locations on the sample and averaging over sample surface were tested. Nominal and true stress–strain dependences were built and Young's modulus, tensile strength, elongation at maximal stress and toughness were evaluated as a function of ACC density. A minor difference was observed for the stress–strain dependences derived from different approaches which use the DIC technique, most probably because of low ACC deformation. However, the results reveal that the nominal stress–strain curve from DIC is significantly different from that which is directly derived from the data provided by machine sensors thus strongly impacting Young’s modulus and elongation at break values. This study provides an insight into the evaluation of the mechanical properties of ACCs. Graphic abstract: [Figure not available: see fulltext.]Description
Funding Information: The financial support from Business Finland (Grant No. 211599), FinnCERES funding, Foundation for Aalto University Science and Technology, Stora Enso Oyj and UPM-Kymmene Oyj is gratefully acknowledged. Authors wish to thank Separation Research Oy Ab and Fibertus Oy for collaboration. We also acknowledge the provision of facilities and technical support by Aalto University at OtaNano-Nanomicroscopy Center (Aalto-NMC). Funding Information: Open access funding provided by Aalto University. Business Finland (Grant No. 211599), FinnCERES funding, Foundation for Aalto University Science and Technology, Stora Enso Oyj and UPM-Kymmene Oyj. Publisher Copyright: © 2021, The Author(s). Copyright: Copyright 2021 Elsevier B.V., All rights reserved.
Keywords
Digital image correlation, Filter paper, Ionic liquid, Tensile properties
Other note
Citation
Chen, F, Sawada, D, Pradille, C, Hummel, M, Sixta, H, Budtova, T & Bouvard, J-L 2021, ' Exploring digital image correlation technique for the analysis of the tensile properties of all-cellulose composites ', Cellulose, vol. 28, no. 7, pp. 4165-4178 . https://doi.org/10.1007/s10570-021-03807-9