Titre :

Reliability modeling of tensile properties in recycled carbon fibers: A comparative fit of statistical distributions pre- and post-textile processing

Auteur(s) :

Ivars, Jean [Auteur]
Génie des Matériaux Textiles - ULR 2461 [GEMTEX]
Tran, Kim Phuc [Auteur]
Génie des Matériaux Textiles - ULR 2461 [GEMTEX]
Labanieh, Ahmad Rashed [Auteur]
Génie des Matériaux Textiles - ULR 2461 [GEMTEX]
Soulat, Damien [Auteur]
Génie et Matériaux Textiles [GEMTEX]

Titre de la revue :

Materials Today Communications

Nom court de la revue :

Mater. Today Commun.

Numéro :

43

Pagination :

111818

Éditeur :

Elsevier

Date de publication :

2025-02-04

ISSN :

2352-4928

Mot(s)-clé(s) en anglais :

Statistical fitting
Recycled carbon fiber
Tensile properties
Statistical distributions
Reliability modeling

Discipline(s) HAL :

Sciences de l'ingénieur [physics]

Résumé en anglais : [en]

Due to their extensive use in the aerospace, automotive, wind energy, and sports industries, the recycling of carbon fiber composites has become increasingly important. Characterization of the tensile properties of these ...
Lire la suite >Due to their extensive use in the aerospace, automotive, wind energy, and sports industries, the recycling of carbon fiber composites has become increasingly important. Characterization of the tensile properties of these recycled fibers is essential, using single fiber tensile tests that provide data on tensile strength, elongation at break, and tensile modulus. This study compares four statistical distributions—2-parameter Weibull, 3-parameter Weibull, Normal, and Lognormal—to fit tensile data from two batches of recycled carbon fibers: one after recycling, and the same type of fiber after a further carding process. Maximum Likelihood Estimation (MLE) was used for the fitting process, while the Sum of Squared Errors (SSE) and Kolmogorov-Smirnov (KS) tests were employed to evaluate the fitting performance. The 2-parameter Weibull distribution provided the best fit overall for tensile strength, elongation at break, and tensile modulus. However, the Normal distribution performed slightly better for tensile strength and tensile modulus in the post-carding batch, indicating that different models might be more appropriate at various processing stages. This study illustrates the challenge of selecting a single model and balancing computational accuracy with mechanical consistency across different properties and conditions, providing insights into the complex behavior of discontinuous fiber composites and contributing to a better understanding of the mechanical challenges associated with recycled materials and their processing.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Établissement(s) :

Université de Lille
ENSAIT
Junia HEI

Collections :

• Génie des matériaux textiles (GEMTEX) - ULR 2641

Équipe(s) de recherche :

Mechanics Textile Composites
Human-Centered Design

Date de dépôt :

2025-03-15T22:04:24Z
2025-03-26T16:03:31Z