Advances in natural fiber polymer and PLA composites through artificial intelligence and machine learning integration - review overview

Aug 4, 2026

Natural Fibre Polymer (NFP) and polylactic acid (PLA) composites attract strong interest for their renewable, environmentally friendly and sustainable characteristics. Across the past decade, research has focused on developing and optimizing NFP/PLA composites for diverse use cases, including packaging, automotive, construction, textile and apparel, biomedical devices, agriculture and horticulture, and electronics. In parallel, artificial intelligence and machine learning approaches broaden pathways for progress. This review provides a comprehensive overview of AI/ML applications across synthesis and development, covering material characterization, manufacturing, property prediction, durability assessment, sustainability analysis, and future perspectives, highlighting both opportunities and challenges.

LanguageEnglish

CategoryResearch & Report

FormatPDF

Pages37

Reading Time1 h 33 min

AccessFree to download

Abstract

Introduction

Environmental sustainability and the shift toward renewable materials

Keywords

Edith Cowan University Research Online Research outputs 2022 to 2026 3-1-2025 Advances in natural fiber polymer and PLA composites through artificial intelligence and machine learning integration Md Helal Uddin Mohammed Huzaifa Mulla Tarek Abedin Abreeza Manap Boon Kar Yap See next page for additional authors Follow this and additional works at: [https://ro.ecu.edu.au/ecuworks2022-2026](https://ro.ecu.edu.au/ecuworks2022-2026) Part of the Artificial Intelligence and Robotics Commons 10.1007/s10965-025-04282-7 Uddin, M. H., Mulla, M. H., Abedin, T., Manap, A., Yap, B. K., Rajamony, R. K., ... & Nur-E-Alam, M. (2025) . Advances in natural fiber polymer and PLA composites through artificial intelligence and machine learning integration. Journal of Polymer Research, 32. [https://doi.org/10.1007/s10965-025-04282-7](https://doi.org/10.1007/s10965-025-04282-7) [This Journal Article is posted at Research Online.](This Journal Article is posted at Research Online.)[ ](This Journal Article is posted at Research Online.)[https://ro.ecu.edu.au/ecuworks2022-2026/5623](https://ro.ecu.edu.au/ecuworks2022-2026/5623) Authors Md Helal Uddin, Mohammed Huzaifa Mulla, Tarek Abedin, Abreeza Manap, Boon Kar Yap, Reji Kumar Rajamony, Kiran Shahapurkar, T. M.Yunus Khan, Manzoore Elahi M. Soudagar, and Mohammad Nur-EAlam This journal article is available at Research Online: [https://ro.ecu.edu.au/ecuworks2022-2026/5623](https://ro.ecu.edu.au/ecuworks2022-2026/5623) Journal of Polymer Research (2025) 32:76 [https://doi.org/10.1007/s10965-025-04282-7](https://doi.org/10.1007/s10965-025-04282-7) Advances in natural fiber polymer and PLA composites through artificial intelligence and machine learning integration Md. Helal Uddin1,2 · Mohammed Huzaifa Mulla3 · Tarek Abedin4 · Abreeza Manap1,2 · Boon KarYap1,4 · Reji Kumar Rajamony1,5 · Kiran Shahapurkar6 · T. M. Yunus Khan7 · Manzoore Elahi M. Soudagar8,9 · Mohammad Nur‑E‑Alam1,10,11,12 Received: 28 May 2024 / Accepted: 31 January 2025 © The Author(s) 2025 Abstract Natural Fibre Polymer (NFP) and Polylactic Acid (PLA) composites have received a lot of interest in a variety of sectors because they are environmentally friendly, renewable, and sustainable. Over the last decade, researchers have investigated the aspects of NFP/PLA composite development and optimization for a wide range of applications, including packaging materi‑ als, automotive components, construction materials, textile and apparel, biomedical devices, agricultural and horticultural applications, electronics, and consumer electronics. Furthermore, using Artificial Intelligence (AI) and Machine Learning (ML) methodologies has increased these polymer materials and associated technologies in their search for new potential ways to further progress in NFP and PLA composites. The purpose of this review paper is to present a complete overview of AI and machine learning applications in the synthesis and development of NFP/PLA composite materials. The subject matter includes the following research areas: material characterization, manufacturing, property prediction, durability assessment, sustainability analysis, and future perspectives, which demonstrate the potential and challenges of AI/ML in advancing NFP/ PLA composite materials and technologies. Keywords Natural fiber polymer · PLA · Artificial Intelligence (AI) · Machine Learning (ML) · Optimization · Decarbonization * Md. Helal Uddin [mdhelaluddinarnob@gmail.com](mdhelaluddinarnob@gmail.com) * Mohammad Nur‑E‑Alamm.nur‑e‑[alam@ecu.edu.au](alam@ecu.edu.au) 1 Institute of Sustainable Energy (ISE), Universiti Tenaga Nasional (UNITEN), UNITEN, Jalan‑Ikram, 43000 Kajang, Selangor, Malaysia 2 Department of Mechanical Engineering, College of Engineering, Universiti of Tenaga Nasional (UNITEN), UNITEN, Jalan‑Ikram, 43000 Kajang, Selangor, Malaysia 3 Division of Research and Development, Lovely Professional University, Phagwara, Punjab, India

FAQs

What is the focus of this review paper?

It presents a comprehensive overview of how artificial intelligence and machine learning are applied in the synthesis and development of natural fiber polymer (NFP) and PLA composite materials.

Why are NFP/PLA composites receiving increasing attention?

They are considered environmentally friendly, renewable, and sustainable, making them suitable for many sectors and applications.

Which research areas are covered for AI/ML applications in these composites?

The review covers material characterization, manufacturing, property prediction, durability assessment, sustainability analysis, and future perspectives.

Aug 4, 2026

Upload by River Wang