Mori-Tanaka homogenization for biocomposites: recycled PET and agroindustrial biomass integration

Purpose This research proposes the application of computational techniques to design a novel biocomposite from material from two wastes: recycled PET and a Colombian biomass. Design/methodology/approach This research proposes the application of computational techniques to design a novel biocomposite from material from two wastes: recycled PET and a Colombian biomass. To select the biomass, a review of crops with higher production and environmental impact was done. Subsequently, the material design was carried out by homogenization software using the first-order Mori-Tanaka method. During the design, the PET matrix was , and different morphologies were proposed for the natural fiber reinforcements, taking into account the nature of the biomass: fibers, particles and granules. The biocomposite reinforced with continuous pineapple peel fibers presented the best characteristics due to the morphology of the reinforcement mainly. Findings The results of designing biomass/PET biomaterials, with variations based on biomass types and homogenization methods. Longitudinal stiffness (E1) significantly increases in PET/pineapple composites compared to other fibers, attributed to the tensile strength and stress distribution of pineapple leaf fibers. After enzymatic degumming, the pineapple fibers show higher cellulose content and crystallinity, enhancing stiffness. In contrast, PET/cocoa and PET/avocado exhibit lower stiffness, suitable for flexible applications. The Mori-Tanaka method shows homogenization improves stiffness, but experimental tests are needed to fully understand the mechanical behavior of these biocomposites. Originality/value The originality of this study lies in the development of biocomposites using different biomass sources and PET, with a focus on pineapple leaf fibers, which exhibit unique mechanical properties. The research highlights the influence of the enzymatic degumming process on fiber morphology, resulting in enhanced stiffness and strength. By applying homogenization techniques, this study offers new insights into optimizing biocomposite materials. The findings provide valuable contributions to the field by demonstrating the potential of pineapple leaf fibers for high-performance applications while also addressing limitations in mechanical testing methods and offering pathways for future experimental validation.

Authors

Publication Details

Journal
Multidiscipline Modeling in Materials and Structures
Published
2025-05-02
DOI
https://doi.org/10.1108/mmms-10-2024-0302
Primary Topic
Composite Material Mechanics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mori-Tanaka homogenization for biocomposites: recycled PET and agroindustrial biomass integration

Claudia Tavera-Ruiz, Juan León-Becerra, Fernando Díaz-Gómez
Multidiscipline Modeling in Materials and Structures
Composite Material Mechanics
article

Mori-Tanaka homogenization for biocomposites: recycled PET and agroindustrial biomass integration

Claudia Tavera-Ruiz, Juan León-Becerra, Fernando Díaz-Gómez
article en

Abstract

Purpose This research proposes the application of computational techniques to design a novel biocomposite from material from two wastes: recycled PET and a Colombian biomass. Design/methodology/approach This research proposes the application of computational techniques to design a novel biocomposite from material from two wastes: recycled PET and a Colombian biomass. To select the biomass, a review of crops with higher production and environmental impact was done. Subsequently, the material design was carried out by homogenization software using the first-order Mori-Tanaka method. During the design, the PET matrix was , and different morphologies were proposed for the natural fiber reinforcements, taking into account the nature of the biomass: fibers, particles and granules. The biocomposite reinforced with continuous pineapple peel fibers presented the best characteristics due to the morphology of the reinforcement mainly. Findings The results of designing biomass/PET biomaterials, with variations based on biomass types and homogenization methods. Longitudinal stiffness (E1) significantly increases in PET/pineapple composites compared to other fibers, attributed to the tensile strength and stress distribution of pineapple leaf fibers. After enzymatic degumming, the pineapple fibers show higher cellulose content and crystallinity, enhancing stiffness. In contrast, PET/cocoa and PET/avocado exhibit lower stiffness, suitable for flexible applications. The Mori-Tanaka method shows homogenization improves stiffness, but experimental tests are needed to fully understand the mechanical behavior of these biocomposites. Originality/value The originality of this study lies in the development of biocomposites using different biomass sources and PET, with a focus on pineapple leaf fibers, which exhibit unique mechanical properties. The research highlights the influence of the enzymatic degumming process on fiber morphology, resulting in enhanced stiffness and strength. By applying homogenization techniques, this study offers new insights into optimizing biocomposite materials. The findings provide valuable contributions to the field by demonstrating the potential of pineapple leaf fibers for high-performance applications while also addressing limitations in mechanical testing methods and offering pathways for future experimental validation.

Multidiscipline Modeling in Materials and Structures
Openalex Percentile: Top 90%
Composite Material Mechanics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.