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 >

Md Salah Uddin^*

Journal of Polymer Materials, Vol.42, No.4, pp. 1051-1073, 2025, DOI:10.32604/jpm.2025.070688 - 26 December 2025

Abstract Carbon fiber-reinforced composites (CFRCs) have a wide range of applications in the aerospace, automotive, and energy sectors. A higher specific strength-to-weight ratio is desired in high-performance applications. The failure mechanism of CFRCs involves multiscale phenomena, such as failure that can occur at the matrix, fibers, interface, layers, lamina, and laminates. When an impactor hits the CFRCs, the design involves analyzing each of these stages to prevent failure and optimize the properties of CFRCs under various loading conditions. A numerical model was employed to predict the fracture toughness of CFRCs with varying weight fractions and orientations.… More >

Ashwini Bhat¹, Nagaraj N. Katagi¹, M. C. Gowrishankar², Manjunath Shettar^2,*

CMC-Computers, Materials & Continua, Vol.85, No.2, pp. 2715-2728, 2025, DOI:10.32604/cmc.2025.069842 - 23 September 2025

Abstract This research explores the water uptake behavior of glass fiber/epoxy composites filled with nanoclay and establishes an Artificial Neural Network (ANN) to predict water uptake percentage from experimental parameters. Composite laminates are fabricated with varying glass fiber and nanoclay contents. Water absorption is evaluated for 70 days of immersion following ASTM D570-98 standards. The inclusion of nanoclay reduces water uptake by creating a tortuous path for moisture diffusion due to its high aspect ratio and platelet morphology, thereby enhancing the composite’s barrier properties. The ANN model is developed with a 3–4–1 feedforward structure and learned… More >

Kartikey Shahi, Velmurugan Ramachandran^*, Ranjith Mohan, Boomurugan Ramachandran

Journal of Polymer Materials, Vol.42, No.2, pp. 477-496, 2025, DOI:10.32604/jpm.2025.062481 - 14 July 2025

Abstract A Shape Memory Polymer Composite (SMPC) is developed by reinforcing an epoxy-based polymer with randomly oriented short glass fibers. Diverging from previous research, which primarily focused on the hot programming of short glass fiber-based SMPCs, this work explores the potential for programming below the glass transition temperature (Tg) for epoxy-based SMPCs. To mitigate the inherent brittleness of the SMPC during deformation, a linear polymer is incorporated, and a temperature between room temperature and Tg is chosen as the deformation temperature to study the shape memory properties. The findings demonstrate an enhancement in shape fixity and More >

Subburayan Manickavasagam Suresh Kumar¹, Sundaravel Balachandran², Seong Cheol Kim³, Balamurugan Rathinam^4,*, Vanaraj Ramkumar^3,5,*

Journal of Polymer Materials, Vol.41, No.4, pp. 207-218, 2024, DOI:10.32604/jpm.2024.057901 - 16 December 2024

Abstract The present study focuses on sustainable biopolymer composites created from coconut sheath and basalt fibres, which are biodegradable, environmentally benign, and have low carbon footprints. High specific strength, superior mechanical performance, reduced weight, and improved thermal stability are all displayed by these materials. Four hybrid epoxy composites (C1–C4) were produced utilizing five stacking sequences and compression moulding, demonstrating that hybridization considerably enhances mechanical characteristics. The hybrid and pure basalt fibre composites have larger storage moduli than untreated coconut sheath fibre-reinforced epoxy (2.1 GPa). The greatest glass transition temperature (Tg) for C4 has been determined to More > Graphic Abstract

Somasundaram Karthiyaini¹, Mohan Sasikumar^2,*, Abraham Jebamalar³, P. A. Prasob²

Journal of Polymer Materials, Vol.41, No.4, pp. 219-237, 2024, DOI:10.32604/jpm.2024.053829 - 16 December 2024

Abstract This manuscript presents the projectile impact behavior of hybrid jute/epoxy composite laminates using an instrumented air gun impact setup with the projectile moving in the vertical direction. An approach based on the stiffness change is used to predict the projectile impact response of hybrid jute epoxy-filled laminates impacted with a stainless-steel projectile. The experimental validation of the parameters like dynamic hardness (Hd) coefficient of restitution (COR), natural frequency, damping factor, and loss factor was used to analyze the impact behavior of jute/epoxy composites strengthened with fillers ZrO₂, ZnO, and TiO₂. The free vibration tests of the More >

Zhoucheng Su^1,*, Dan Wang¹, Yucheng Zhong²

The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.3, pp. 1-1, 2024, DOI:10.32604/icces.2024.012259

Abstract In this study, we developed a micromechanical model for exploring the longitudinal tensile behavior of unidirectional discontinuous flax fiber reinforced epoxy composites, emphasizing the significant roles of the aspect ratio of fibers and fiber-matrix interfacial properties. Representative volume elements (RVEs) are built using a novel approach which accounts for the randomness of the fiber distribution, discontinuity of the fibers, and the modeling of the interfaces as cohesive zone elements.
Finite element simulations of the RVEs under longitudinal tension were performed with proper periodic boundary conditions (PBCs). We investigated how fiber aspect ratio, interfacial properties and matrix… More >

Santhanakrishnan Mamallan¹, Venkateshwaran Narayanan^1,*, Canungo Bhimarao Ragothaman²

Journal of Polymer Materials, Vol.41, No.3, pp. 105-116, 2024, DOI:10.32604/jpm.2024.056744 - 30 September 2024

Abstract Glass fabric/polymer composites are widely used in various industrial applications due to their lightweight, exceptional strength, and fatigue resistance. Graphene nanoplatelets, a recently developed type of carbon material, stand out as unique nanofillers due to their 2D quantum confinement and expansive surface area within a polymer matrix. These features make them more effective than traditional carbon nanofillers at enhancing a range of properties. In this study, 3-weight % of graphene nanoplatelets with epoxy resin were used for investigation by varying sonication durations (0, 20, 40, and 60 min) using an ultrasonic bath sonicator. The laminates More >

Ravikumar Karthikeyan, Subbiah Rajkumar^*, Balasundaram Ravi

Journal of Polymer Materials, Vol.41, No.3, pp. 131-141, 2024, DOI:10.32604/jpm.2024.055989 - 30 September 2024

Abstract In this study, the Polyamide-12 (PA-12) powdered material in the Selective Laser Sintering (SLS) process has been incorporated as the filler in the composite material to enhance its properties. The PA-12 powder has been made into a form of filament and is primarily used in the Fused Deposition Modelling (FDM) process. The PA-12 has been used with epoxy resin and glass fiber with different proportions. The characterization of materials, including the validation of the presence of PA-12 filler with epoxy, has been evidenced using Fourier Transform Infrared Spectroscopy (FTIR), Differential Scanning Calorimetry (DSC), and Thermogravimetric More >

K. KRISHNAMOORTHY^a,*, N. PRABHU^b

Journal of Polymer Materials, Vol.40, No.3-4, pp. 215-226, 2023, DOI:10.32381/JPM.2023.40.3-4.7

Abstract The acoustic emission monitoring with artificial neural networks predicts the ultimate strength of glass/epoxy composite laminates using Acoustic Emission Data. The ultimate loads of all the specimens were used to characterise the emission of hits during failure modes. The six layered glass fiber laminates were prepared (in woven mat form) with epoxy as the binding medium by hand lay-up technique. At room temperature, with a pressure of 30 kg/cm², the laminates were cured. The laminates of standard dimensions as per ASTM D3039 for the tensile test were cut from the lamina. The Acoustic Emission (AE) test More >