Girish Hariharan¹, Vinyas¹, Gowrishankar Mandya Chennegowda¹, Nitesh Kumar¹, Shiva Kumar¹, Deepak Doreswamy², Subraya Krishna Bhat^1,*

CMC-Computers, Materials & Continua, Vol.86, No.3, 2026, DOI:10.32604/cmc.2025.073772 - 12 January 2026

Abstract This study presents a framework involving statistical modeling and machine learning to accurately predict and optimize the mechanical and damping properties of hybrid granite–epoxy (G–E) composites reinforced with cast iron (CI) filler particles. Hybrid G–E composite with added cast iron (CI) filler particles enhances stiffness, strength, and vibration damping, offering enhanced performance for vibration-sensitive engineering applications. Unlike conventional approaches, this work simultaneously employs Artificial Neural Networks (ANN) for high-accuracy property prediction and Response Surface Methodology (RSM) for in-depth analysis of factor interactions and optimization. A total of 24 experimental test data sets of varying input… More >

Bindi Saurabh Thakkar¹, Pradeep Kumar Karsh^2,*

CMC-Computers, Materials & Continua, Vol.86, No.2, pp. 1-22, 2026, DOI:10.32604/cmc.2025.072839 - 09 December 2025

Abstract This study investigates the uncertain dynamic characterization of hybrid composite plates by employing advanced machine-assisted finite element methodologies. Hybrid composites, widely used in aerospace, automotive, and structural applications, often face variability in material properties, geometric configurations, and manufacturing processes, leading to uncertainty in their dynamic response. To address this, three surrogate-based machine learning approaches like radial basis function (RBF), multivariate adaptive regression splines (MARS), and polynomial neural networks (PNN) are integrated with a finite element framework to efficiently capture the stochastic behavior of these plates. The research focuses on predicting the first three natural frequencies… More >

Jeyapaul Angel Ida Chellam¹, Bright Brailson Mansingh², Daniel Stalin Alex³, Joseph Selvi Binoj^4,*

Journal of Polymer Materials, Vol.42, No.3, pp. 773-794, 2025, DOI:10.32604/jpm.2025.069295 - 30 September 2025

Abstract Machine learning models can predict material properties quickly and accurately at a low computational cost. This study generated novel hybridized nanocomposites with unsaturated polyester resin as the matrix and Areca fruit husk fiber (AFHF), tamarind fruit fiber (TFF), and nano-sized coconut shell powder (NCSP). It is challenging to determine the optimal proportion of raw materials in this composite to achieve maximum mechanical properties. This task was accomplished with the help of ML techniques in this study. The tensile strength of the hybridized nanocomposite was increased by 134.06% compared to the neat unsaturated polyester resin at… More >

Mohammad Javad Bayat¹, Amin Kalhori², Kamran Asemi^1,*, Masoud Babaei³

CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.2, pp. 1351-1458, 2025, DOI:10.32604/cmes.2025.060222 - 27 January 2025

Abstract Since the initial observation of carbon nanotubes (CNTs) and graphene platelets (GPLs) in the 1990 and 2000s, the demand for high-performance structural applications and multifunctional materials has driven significant interest in composite structures reinforced with GPLs and CNTs. Incorporating these nanofillers into matrix materials markedly enhances the mechanical properties of the structures. To further improve efficiency and functionality, functionally graded (FG) distributions of CNTs and GPLs have been proposed. This study presents an extensive review of computational approaches developed to predict the global behavior of composite structural components enhanced with CNT and GPL nanofillers. The… More >

Fengbo Han^1,*, Kapil Krishnan¹, Jide Oyebanji¹, Naresh Kakur¹, Rafael Savioli¹, Alia Ruzanna Aziz¹, Henrique Ramos¹, Nikolaos Nikos¹, Rafael Santiago¹, Zhongwei Guan¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.3, pp. 1-1, 2024, DOI:10.32604/icces.2024.011296

Abstract This study introduces an innovative plug-in developed within the ABAQUS and Fox GUI environments, which is designed to streamline the design and simulation of hybrid composite laminates for ballistic impact resistance. The plug-in provides an advanced, user-friendly interface for composite laminate design, projectile selection, and ballistic impact simulation parameter configurations. It includes accurately reconstructed models of three projectile types: the tungsten-carbide core projectile M993, the hardened steel core projectile M61, and the lead-core projectile M80, based on scanned data. A distinctive feature of the plug-in is its capacity to facilitate the design of hybrid composite… More >

Aruna M. Pugalenthi^*, Khaoula Khlie

Journal of Renewable Materials, Vol.12, No.11, pp. 1879-1893, 2024, DOI:10.32604/jrm.2024.055747 - 22 November 2024

Abstract With growing environmental concerns and the depletion of oil reserves, the need to replace synthetic fibres with sustainable alternatives in composite materials has become increasingly urgent. This study investigates the potential of Leptadenia pyrotechnica fibre as a sustainable reinforcement material in hybrid composites alongside E-glass fibres. The primary objectives are to assess these hybrid composites’ mechanical properties, structural integrity, and performance. To achieve this, Scanning Electron Microscopy (SEM) and Fourier Transform Infrared Spectroscopy (FTIR) were employed to analyze the microstructure and chemical composition of the composites. At the same time, mechanical testing focused on properties such… More >

H. A. Aisyah^1,*, E. Hishamuddin¹, A. W. Noorshamsiana¹, Z. Ibrahim¹, R. A. Ilyas^2,*

Journal of Renewable Materials, Vol.12, No.10, pp. 1661-1689, 2024, DOI:10.32604/jrm.2024.055217 - 23 October 2024

Abstract Composite materials from oil palm fiber enhance sustainability by utilizing renewable resources, reducing dependence on non-renewable materials, and lessening environmental impact. Despite their mechanical and dimensional stability limitations, oil palm fiber-based polymer composites offer significant advantages, such as natural abundance, potential weight reduction, and cost-effectiveness due to local availability and renewability. The growing interest in oil palm hybrid composites, made from blending different fibers, is due to their customizable mechanical and physical properties. Hybridization is one of the most effective methods to reinforce and improve the performance of oil palm-derived composite materials. This review investigates More > Graphic Abstract

Mohammed Mohammed^1,2,*, Jawad K. Oleiwi³, Aeshah M. Mohammed⁴, Anwar Ja’afar Mohamad Jawad⁵, Azlin F. Osman^1,2, Tijjani Adam⁶, Bashir O. Betar⁷, Subash C. B. Gopinath^2,8,9

Journal of Renewable Materials, Vol.12, No.7, pp. 1237-1290, 2024, DOI:10.32604/jrm.2024.051201 - 21 August 2024

Abstract Natural fibre (NFR) reinforced functional polymer composites are quickly becoming an indispensable sustainable material in the transportation industry because of their lightweight, lower cost in manufacture, and adaptability to a wide variety of goods. However, the major difficulties of using these fibres are their existing poor dimensional stability and the extreme hydrophilicity. In assessing the mechanical properties (MP) of composites, the interfacial bonding (IB) happening between the NFR and the polymer matrix (PM) plays an incredibly significant role. When compared to NFR/synthetic fibre hybrid composites, hybrid composites (HC) made up of two separate NFR are… More > Graphic Abstract

K. A. Mohammed^a,*, N. H. J. Al Hasan^b, L. R. Al-Ameer^c, D. S. Abdul-Zahra^d, Y. D. Dwivedi^e, K. H. Salem^f, M. K. Agarwal^g, R. S. Zabibah^h, M. A. Alkhafajiⁱ

Chalcogenide Letters, Vol.20, No.8, pp. 599-608, 2023, DOI:10.15251/CL.2023.208.599

Abstract This study examined the properties of polyvinyl alcohol (PVA) as a matrix composite, specifically focusing on the characterization techniques of UV-Visible spectroscopy, X-ray diffraction (XRD), and scanning electron microscopy (SEM) with energy dispersive spectroscopy (EDX). The investigation centered around a novel hybrid structure composed of CdZnS nanoparticles implanted within a composite matrix of PVA and Fe₂O₃. The analysis of microstructure data provided evidence of the influence of CdZnS nanoparticles on the structural characteristics of PVA–Fe₂O₃. The composites that were synthesized exhibited significant absorption peaks at wavelengths of 233 nm and 234 nm for PVA-Fe₂O₃ and PVA-Fe₂O₃-CdZnS, respectively. More >

Noor K. Faheed^*, Qahtan A. Hamad, Jawad K. Oleiwi

Journal of Renewable Materials, Vol.10, No.7, pp. 1989-2013, 2022, DOI:10.32604/jrm.2022.017573 - 07 March 2022

Abstract Natural fibers and their composites are the evolving movements in material science, and with that, the utmost use of plant-based fibers has become the focus of this research. Sisal and cotton natural fibers were used to construct a prosthetic socket as an attempt to substitute material currently available in the manufacturing of sockets. The vacuum bagging technique was adopted to produce a below-knee socket. The influence of different fiber layering sequences on the volumetric and mechanical characteristics was estimated experimentally and numerically. Mechanical tensile tests were used to assess laminated specimens, such as tensile strength,… More >