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Analysis of the morphometric variations in natural fibres by automated laser scanning: Towards an efficient and reliable assessment of the cross-sectional area

Authors :
Johnny Beaugrand
Stéphane Corn
Nicolas Le Moigne
William Garat
Anne Bergeret
Pôle Matériaux Polymères Avancés (Pôle MPA)
Centre des Matériaux des Mines d'Alès (C2MA)
IMT - MINES ALES (IMT - MINES ALES)
Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-IMT - MINES ALES (IMT - MINES ALES)
Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)
Fractionnement des AgroRessources et Environnement (FARE)
Université de Reims Champagne-Ardenne (URCA)-Institut National de la Recherche Agronomique (INRA)
Laboratoire d'excellence Innovation et Territoires de Montagne (Labex ITEM)
Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])
Montpellier SupAgro
Fractionnement des AgroRessources et Environnement - UMR-A 614 (FARE)
Université de Reims Champagne-Ardenne (URCA)-SFR Condorcet
Université de Reims Champagne-Ardenne (URCA)-Université de Picardie Jules Verne (UPJV)-Centre National de la Recherche Scientifique (CNRS)-Université de Reims Champagne-Ardenne (URCA)-Université de Picardie Jules Verne (UPJV)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Recherche Agronomique (INRA)
Université Grenoble Alpes (UGA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Irstea-Université Joseph Fourier - Grenoble 1 (UJF)-Université Pierre Mendès France - Grenoble 2 (UPMF)
Source :
Composites Part A: Applied Science and Manufacturing, Composites Part A: Applied Science and Manufacturing, Elsevier, 2018, 108, pp.114-123. ⟨10.1016/j.compositesa.2018.02.018⟩
Publication Year :
2018
Publisher :
HAL CCSD, 2018.

Abstract

International audience; The development of natural fibres in engineering applications requires the reliable and accurate assessment of their dimensional characteristics and mechanical properties. Fibre cross-sectional area (CSA) obtained from lateral dimensional measurements should consider the specific cross-sectional shape of natural fibres and its wide lengthwise morphometric variations. In this study, a detailed dimensional analysis was conducted on a selected panel of natural fibres with contrasted morphometric characteristics belonging to various phylogenetic plant species with dissimilar functions in planta. An automated laser scanning technique was used, and geometrical models and filtering data method were developed for calculation of reliable CSAs adapted to each plant fibre species. Results show that CSAs of palm and sisal fibre bundles can be satisfactorily assessed by a circular model with minimal data processing, whereas hemp, flax and nettle fibre bundles require specific data filtering due to partial splicing, and can be better assessed by an elliptic model.

Details

Language :
English
ISSN :
1359835X
Database :
OpenAIRE
Journal :
Composites Part A: Applied Science and Manufacturing, Composites Part A: Applied Science and Manufacturing, Elsevier, 2018, 108, pp.114-123. ⟨10.1016/j.compositesa.2018.02.018⟩
Accession number :
edsair.doi.dedup.....a368140c7396295317a1930be6cdb41f
Full Text :
https://doi.org/10.1016/j.compositesa.2018.02.018⟩