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372 articles for “high-performance polymers”
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Design and Development of Lightweight Polymer Composite Manifold Using CF-ABS and GFRP for Aerodynamic Energy Recovery in Electric Vehicles
Abstract: Electric vehicles provide a number of advantages over conventional fuel vehicles due to their low to no emissions. High energy efficiency improves the driving performance of Electric vehicles. However, they have to face certain challenges such as the high purchase cost of batteries and lack of battery charging facilities. The major drawback of an Electric vehicle is to store sufficient energy to run the vehicle for a long time. This …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 Read article
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Fibre Orientation and Void Distribution Analysis in Polymer Composite Structures Using Image Processing
Abstract: Fibre orientation and void distribution are critical microstructural features that govern the mechanical performance and reliability of polymer composite materials. Accurate and simultaneous characterisation of these features remains challenging due to their complex spatial interactions and dependence on processing conditions. In this work, an integrated image-processing framework is proposed for the quantitative analysis of fiber orientation and void distribution in polymer composite structures. High-resolution composite microstructure images are processed through …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 925–933 Read article
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Synthesis, Characterization, and Thermogravimetric Analysis of Polylactic Acid-Based Bio-Adhesive for Industrial Applications
Abstract: This study investigated the synthesis, characterization, and thermogravimetric analysis of polylactic acid (PLA)-based bio-adhesives for industrial applications. The adhesive was synthesized using an emulsion polymerization method with varying compositions of PLA and vinyl acetate. The physicochemical, mechanical, and thermal properties of the synthesized adhesives were assessed through pH analysis, viscosity measurement, peel strength evaluation, tack tests, biodegradability investigations, Fourier Transform Infrared Spectroscopy (FTIR), Differential Scanning Calorimetry (DSC), and Thermogravimetric Analysis …
Published in Journal of Materials & Metallurgical Engineering · Vol. 16, Issue 2, 2026 · pp. 39–54 Read article
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Prediction of Mechanical Properties for Advanced Engineering Applications utilizing Polymer Composite Materials by Machine Learning
Abstract: Polymer composites show great promise as engineering materials because of their mechanical performance, resistance to corrosion, lightweight nature, and adaptability in design. Aerospace, automotive, biomedical, maritime, and civil engineers all rely on mechanical property prediction to cut down on trial expenses, expedite product development, and optimize material selection. Speedy design optimization is not possible using traditional numerical and experimental methods due to the high costs associated with material characterisation, computational …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 Read article
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Optimization of Lightweight Polymer Composites Using Finite Element Analysis Machine Learning and Topology Optimization Techniques for Aerospace Applications
Abstract: The advancement of aerospace engineering depends on lightweight polymer matrix composites (PMCs) because they help decrease weight while improving fuel efficiency and payload capacity together with increased structural integrity. Research developed a computer program comprising FEA with ANN and TO optimize high-performance PMCs through integrated design approaches. The combination of Python-controlled LS-DYNA simulations measured hybrid composite laminate resistance to impact while an ANN model obtained data from simulations to forecast …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 693–709 Read article
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IP Transcendence: Unifying IPv6 Over IPv4 Network
Abstract: Dynamic routing also called adaptive routing like traditional glass optical fiber, POF uses a polymethyl methacrylate (PMMA) core with a fluorinated polymer cladding, resulting in a larger core diameter that simplifies alignment and splicing. POF's adaptability is one of its main benefits. Because of their fragility and stiffness, ordinary glass fibers would not be practicable in certain situations where POF can be put. POF is a great option for intricate …
Published in International Journal of Electrical Power and Machine Systems · Vol. 2, Issue 1, 2024 · pp. 36–42 Read article
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Explainable Machine Learning for Process Parameter Optimization in Gradient 3D-Printed Polymer Composites
Abstract: The explainable machine learning-based structure may be employed to achieve a favorable process parameter of the graduate 3D-printed polymer composite structures to improve the mechanical and thermal properties without compromising the transparency of the decisions made during the fabrication process. Gradient composite specimens were made by systematically varied process parameters like nozzle temperature, raster orientation, deposition speed, gradient transition rate and fused filament fabrication. A predictive model of tensile strength …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 847–866 Read article
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Data-Driven Energy Forecasting for Smart Homes: Ensemble Learning from IoT Meters and Relevance for Polymer-Composite Based Smart Infrastructure
Abstract: Reliable estimation of household electricity demand is relevant in creating efficiency in energy usage, optimization of the loads, and intelligent demand-side management in intelligent grid systems. This paper introduces a varied machine learning model that approaches residential electric consumption prediction using an assortment of ensemble regression boosts, including Linear Regression, Lasso Regression, Decision Tree Regressor, Random Forest, and Gradient Boosting, to predict residential electricity consumption environments on a time-series arrested …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 29–64 Read article
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Enhancement in Biomedical Polymer Nanocomposites: Biocompatibility and Mechanical Property Predictions using Machine Learning
Abstract: A machine learning (ML)-based framework is developed and validated through experimental analysis and comparative modeling to enhance system dependability and improve prediction performance. The proposed framework includes key stages such as data preprocessing, feature evaluation, model training, and performance benchmarking to determine the most effective prediction technique. Several machine learning models were evaluated, including Ensemble models, Artificial Neural Networks (ANN), Decision Tree (DT), Random Forest (RF), Support Vector Machine (SVM), …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 275–296 Read article
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Integration of Semi-Interpenetrating Polymer Networks and Quantum Dot–Polymer Nanocomposites for Low-Cost, Flexible OLED Display
Abstract: Flexible OLED displays need advanced material systems to integrate capabilities for mechanical flexibility as well as thermal stability and environmental durability at low costs. Semi-interpenetrating polymer networks (SIPNs) combined with quantum dot (QD)-polymer nanocomposites serve to improve OLED performance capabilities. They combine a stable structural design along with a flexible matrix through the matrix capabilities of SIPNs which result in efficient luminescence and pure color output courtesy of CdSe/ZnS QDs …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 919–932 Read article
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Power and Area - Aware Recursive Multiplier Architecture Utilizing Polymer Composites for Neural Network Acceleration
Abstract: Approximate computing is widely applied in error - tolerant systems as an effective technique to enhance circuit performance by deliberately allowing occasional inaccuracies instead of strictly ensuring precise results for every computation. Among the fundamental building blocks of digital systems, multipliers play a crucial role in signal processing, control systems, and machine learning applications; however, they demand significant power, silicon area, and timing resources. Leveraging error - tolerant approximate multipliers …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1320–1337 Read article
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Experimental Study on the Impact of Polymer (PAM) in Enhancing Oil Recovery in Upper Assam Basin Oil fields
Abstract: The Upper Assam Basin, one of India’s most mature and extensively exploited hydrocarbon provinces, is experiencing declining oil production due to reservoir depletion and unfavorable crude oil–brine–rock (COBR) interactions. In this context, alkali–polymer (AP) flooding has emerged as a promising chemical enhanced oil recovery (EOR) strategy. AP flooding reduces interfacial tension (IFT) through in-situ surfactant generation by alkali and improves sweep efficiency via polymer-based mobility control, typically using polyacrylamide (PAM). …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 283–296 Read article
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Development of Self-Healing Circuit Boards Using Shape Memory Polymer Composites
Abstract: This study investigates the influence of temperature, humidity, and nanofiller type on the electrical and structural performance of advanced polymer nanocomposites for self-healing circuit applications. Particular attention was given to conductivity retention and the morphological behavior of carbon nanotubes (CNTs), graphene, and silver nanoparticles (AgNPs). Results show that conductivity decreased under elevated thermal–humidity conditions, reflecting the role of environmental stress in material degradation. Among the tested systems, AgNP-based composites achieved …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 746–770 Read article
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Investigating the Surface Defects and Structural Integrity of 3D Printed Hydrogen Storage Cylinders in UAV Applications
Abstract: This research explores the processing and manufacturing challenges of 3D printed polymer composites for high-pressure hydrogen storage in UAVs. The study focuses on addressing surface integrity and structural robustness issues inherent in additive manufacturing. Finite Element Analysis (FEA) was conducted on four thermoplastic polymer ABS, PET-G, HDPE, and Nylon to assess their mechanical performance under 35 MPa of pressure. Results revealed that PET-G and ABS provided better stress distribution and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 161–191 Read article
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Ocular Films as a Drug Delivery System Against Fungal Infections: Current Insights and Future Directions
Abstract: Fungal infections of the eye, including keratitis, endophthalmitis, and blepharitis, represent a challenging class of ocular diseases due to their potential for vision loss and the limited efficacy of existing treatments. These infections are caused by a range of pathogenic fungi, such as Aspergillus, Candida, and Fusarium species, and often require long-term therapeutic intervention. Conventional topical antifungal therapies, such as eye drops and ointments, suffer from poor ocular bioavailability due …
Published in Trends in Drug Delivery · Vol. 12, Issue 2, 2025 · pp. 101–109 Read article
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Comparative Analysis of Tensile Properties of Virgin and Rice Husk-Reinforced PLA and ABS Filaments
Abstract: This study focuses on evaluating the tensile behavior of polylactic acid (PLA) and acrylonitrile butadiene styrene (ABS) filaments reinforced with rice husk ash (RHA) particles, in comparison with their respective virgin counterparts. The incorporation of RHA, an abundant agricultural waste by-product, was considered with the objective of developing eco-friendly composites suitable for additive manufacturing applications. Tensile testing was carried out to assess the influence of the reinforcement on the mechanical …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 224–229 Read article
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Polymer Chemistry and Composite Materials in Biomedical Applications
Abstract: The integration of polymer chemistry and composite materials has revolutionized biomedical applications. Recent advancements in polymer synthesis, functionalization, and nanotechnology have further expanded their applications, leading to significant improvements in biocompatibility, biodegradability, and mechanical performance. These polymeric carriers protect bioactive compounds from enzymatic degradation, enable controlled drug release, and improve therapeutic efficacy. The integration of polymer chemistry with nanotechnology has enabled the development of highly efficient, targeted therapeutic systems that …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 413–419 Read article
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Nanoparticle Chemistry: The Synthesis, Properties and Applications of Polymer and Macromolecule-Based Nanoparticles and Their Composites
Abstract: Nanoparticles have arisen as a transformative branch of materials in chemistry, owing to their unique physicochemical and biological properties that vary from their bulk materials. Various synthesis techniques, including physical (e.g., laser ablation), chemical (e.g., sol-gel, co-precipitation) and biological (e.g., microbial or plant-mediated) approaches, offer control over particle size, shape and surface characteristics. These methods influence the optical, electronic, catalytic and mechanical properties of nanoparticles. Nanoparticles can exhibit high surface …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1236–1247 Read article
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Layered Metal–Polymer Hybrid Laminates with Embedded Impact Sensors for Connected Automotive Panels
Abstract: The increasing demand for lightweight, intelligent, and structurally reliable automotive components has accelerated the development of multifunctional hybrid materials capable of simultaneously providing superior mechanical performance and real-time structural health monitoring. In this study, a novel layered metal-polymer hybrid laminate incorporating an embedded flexible impact sensor was developed for connected automotive panel applications. The laminate was fabricated using AA6061-T6 aluminum alloy face sheets and a thermoplastic polyurethane interlayer through hot-press …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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Hybrid Quantum–Machine Learning Framework for Nonlinear Rheological Modeling of Polymer and Composite Materials
Abstract: In polymer and composite materials, a major challenge lies in predicting their nonlinear rheological response, owing to complex multiscale interactions that are not captured by traditional constitutive laws or conventional machine learning approaches. In this study, a hybrid Quantum Machine Learning (QML) model comprising Quantum Support Vector Machine (QSVM) and Quantum Neural Network (QNN) architectures is proposed for viscosity prediction without requiring any specific rheological equation. To train and test …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article