Evidence map›Paper›PMID 42225666›Full record

ArticleScientific reports2026

Sustainable development and ANN-based prediction of bio-waste-filled flax-pineapple-epoxy hybrid composites for enhanced mechanical performance.

Sandeepkumar Gowda, Maruthi Prashanth B H, Ramesh S, Divijesh Puninchathaya P, Nidhin Raj A, Asif Iqbal Mulla, B Kiran Kumar, Priyaranjan Sharma, Gajanan Anne

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Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Sandeepkumar GowdaDepartment of Mechanical Engineering, AGMR College of Engineering and Technology, Hubli, 581207, Karnataka, India.
Maruthi Prashanth B HDepartment of Mechanical Engineering, AGMR College of Engineering and Technology, Hubli, 581207, Karnataka, India.
Ramesh SSchool of Computer Science and Engineering, RV University, Bangalore, 560059, India.
Divijesh Puninchathaya PDepartment of Mechanical Engineering, Nitte (Deemed to be University), NMAM Institute of Technology (NMAMIT), Nitte, Karkalla, 574110, India.
Nidhin Raj ADepartment of Mechanical Engineering, Adi Shankara Institute of Engineering & Technology, Ernakulam, 683574, Kerala, India.
Asif Iqbal MullaDepartment of Electronics & Communication Engineering, AGMR College of Engineering and Technology, Hubli, 581207, Karnataka, India.
B Kiran KumarDepartment of Mechanical Engineering, Koneru Lakshmaiah Education Foundation, Vijayawada, 522302, Andhra Pradesh, India.
Priyaranjan SharmaDepartment of Mechanical Engineering, Manipal University Jaipur, Dehmi Kalan, Jaipur, 303007, Rajasthan, India. priyaranjan.sharma@jaipur.manipal.edu.
Gajanan AnneManipal Institute of Technology, Manipal Academy of Higher Education, Manipal, India. gajanan.anne@manipal.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the increasing demand for sustainable and cost-effective materials, natural fiber-reinforced composites are gaining traction among manufacturers and consumers. This study addresses the growing need for eco-friendly and structurally reliable composite materials. It focuses on the incorporation of bio-waste fillers into epoxy composites reinforced with flax and pineapple fibers, assessing their suitability for lightweight structural applications in automotive and construction sectors. Four fillers—coconut shell powder (CSP), teak wood dust (TWD), eggshell powder (ESP), and rice husk powder (RHP)—were added at a fixed 10 wt% to fabricate hybrid composites using a combination of hand layup and hot-pressing techniques. Mechanical properties such as tensile strength, impact resistance, interlaminar shear strength (ILSS), fracture toughness, and flexural strength were evaluated. Among all, CSP-reinforced composites showed superior mechanical performance, with enhancements ranging from 1.95% to 42.8% over other variants. Scanning Electron Microscopy (SEM) analysis revealed improved fiber–matrix bonding and minimal voids in CSP composites. In addition, an Artificial Neural Network (ANN) model was employed to predict mechanical properties with high accuracy: 95.85% (tensile), 83.9% (flexural), and 89.83% (impact). These results underscore the potential of using agricultural and industrial waste fillers in natural fiber composites for sustainable, high-performance applications in structural engineering.

Indexed as

Artificial neural networkBio-waste fillersFracture toughnessHybrid compositeImpact strengthNatural fibers

Identifiers

PMID42225666
PMCPMC13226653

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