Please use this identifier to cite or link to this item: http://hdl.handle.net/10362/165784
Title: Identification of Apple Fruit-Skin Constitutive Laws by Full-Field Methods Using Uniaxial Tensile Loading
Author: Campos, Teresa
Araújo, Rafael
Xavier, José
Nguyễn, Quyền
Dourado, Nuno
Morais, José
Pereira, Fábio
Keywords: apple skin
digital image correlation
finite element analysis
hyperelasticity
uniaxial tensile loading
Materials Science(all)
Condensed Matter Physics
Issue Date: 1-Feb-2024
Abstract: The protective and preservative role of apple skin in maintaining the integrity of the fruit is well-known, with its mechanical behaviour playing a pivotal role in determining fruit storage capacity. This study employs a combination of experimental and numerical methodologies, specifically utilising the digital image correlation (DIC) technique. A specially devised inverse strategy is applied to evaluate the mechanical behaviour of apple skin under uniaxial tensile loading. Three apple cultivars were tested in this work: Malus domestica Starking Delicious, Malus pumila Rennet, and Malus domestica Golden Delicious. Stress–strain curves were reconstructed, revealing distinct variations in the mechanical responses among these cultivars. Yeoh’s hyperelastic model was fitted to the experimental data to identify the coefficients capable of reproducing the non-linear deformation. The results suggest that apple skin varies significantly in composition and structure among the tested cultivars, as evidenced by differences in elastic properties and non-linear behaviour. These differences can significantly affect how fruit is handled, stored, and transported. Thus, the insights resulting from this research enable the development of mathematical models based on the mechanical behaviour of apple tissue, constituting important data for improvements in the economics of the agri-food industry.
Description: The authors acknowledge the Portuguese Foundation for Science and Technology (FCT—MCTES) for the conceded financial support through the reference grant EXPL/EME-APL/0587/2021. The second author also acknowledges FCT for his grant ref. BI/UTAD/22/2022. The third author also acknowledges FCT for its financial support via the projects UIDB/00667/2020 and UIDP/00667/2020 (UNIDEMI). Publisher Copyright: © 2024 by the authors.
Peer review: yes
URI: http://hdl.handle.net/10362/165784
DOI: https://doi.org/10.3390/ma17030700
ISSN: 1996-1944
Appears in Collections:Home collection (FCT)

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