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413 articles for “Composite model”
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Effect of Nanoclay Loading on Physical and Mechanical Properties of Epoxy Composites
Abstract: The effects of multilayer silicate loading on hardness, tensile, and impact properties were examined by developing epoxy–nanoclay composites with 0–5 wt% nanoclay. A desirable compromise between reduced void content and higher Shore D hardness was reached with an ideal nanoclay loading of 3 wt%, which reflected improved load transfer and increased matrix stiffness as a result of limited polymer chain mobility. Tensile strength and modulus rose up to 3 wt% …
Published in International Journal of Advance in Molecular Engineering · Vol. 4, Issue 1, 2026 · pp. 36–45 Read article
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Dual-Stream Deep Learning Framework for Brain CT Image Classification and Implications for Polymer Composite Neuro Implant Evaluation
Abstract: Early and accurate classification of brain CT images is critical for diagnosing conditions such as aneurysms, tumors, and related lesions. We present a dual-stream image-classification framework that fuses convolutional neural network (CNN) features with handcrafted Histogram of Oriented Gradients (HOG) descriptors to jointly capture global semantics and local textural cues. The pipeline begins with modality unification via pixel-wise averaging to form a fused input, which is then processed in parallel …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 172–179 Read article
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Satellite Sensing in Climate Change Study: A Review
Abstract: Satellite remote sensing has revolutionized our understanding of climate change, providing a global and continuous perspective on Earth's climate system. This study highlights the crucial role of satellite observations in monitoring key climate variables, such as sea surface temperature, ice sheet extent, vegetation cover, and atmospheric composition. From monitoring greenhouse gas concentrations in the atmosphere to mapping ice sheet thickness and sea level rise, satellite instruments offer invaluable data for …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 14, Issue 2, 2025 · pp. 1–11 Read article
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An Overview of Heavy-ion Collisions
Abstract: AbstractA large number of experiments have been performed to explore the heavy-ion collisions dynamics using accelerator facilities available in India. The experimental results have revealed that in reactions induced by nucleons or light particles at energies of the order of a few tens MeV, the great majority of the processes one observes are of statistical nature though they cannot be interpreted as a consequence of the decay of a fully …
Published in Journal of Nuclear Engineering & Technology · Vol. 9, Issue 2, 2019 · pp. 8–23 Read article
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Numerical Investigation of Ply-by-Ply Failure and Strength Degradation in Composite Laminates Under Transverse Loading
Abstract: This paper represents the failure analysis of composite symmetric and antisymmetric laminate, when laminates were subjected to the transverse loading conditions. The load is uniformly distributed in a transverse direction. The analysis includes failure load and nature of failure by using theories of failure. The ply degradation material model is used to modify and update the properties of failed lamina and upgrades the properties of laminate. Laminate is modelled as …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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An Innovative AI-Integrated Approach for Identifying the Tensile Robustness of Polymeric Materials
Abstract: Polymeric materials have so many applications and character similar to flexibility, robustness and lightweight nature they are essential to a large variety of industries. Though, it is difficult to establish their tensile robustness appropriately, particularly in a variety of environmental situation. Provide a recommended Artificial Intelligence (AI)-integrated method to decide the issues of rapidly ascertaining the tensile robustness of the polymeric material. Using machine learning (ML), this study, predicted and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 90–97 Read article
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USING DIFFERENT END CONDITIONS EXPERIMENTAL AND THEORETICAL ANALYSIS FOR VIBRATIONAL PROPERTIES OF NATURAL FIBER COMPOSITES BEAM
Abstract: The today’s research trend in composite is for the development of composite with natural fibre instead of synthetic fibre. It is because of properties like low cost, light weight, bio-degradability, ease to manufacture and low impact on environment. It becomes necessary to study the vibrational behaviour of composite in addition to mechanical strength and chemical properties for effective utilization in real world applications as they subjected to many types of …
Published in Trends in Machine design · Vol. 5, Issue 2, 2018 · pp. 34–41 Read article
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An Empirical Analysis of Cost, Time, and Quality Relationships Using Correlation and Regression Techniques
Abstract: Cost, time, and quality have been recognized as the three key dimensions that determine construction project performance and are commonly represented through the "Project Management Triangle." However, despite their theoretical linkage, there is limited empirical evidence to quantify the nature of their relationships, particularly within developing construction markets. This paper seeks to contribute to addressing this shortfall by investigating the specific influence of cost and schedule variations upon quality outcomes …
Published in Journal of Construction Engineering, Technology & Management · Vol. 16, Issue 1, 2026 · pp. 52–60 Read article
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Machine Learning-Based Quantification of Polymer Structure Property Relationships for Predictive Material Design
Abstract: Polymer structures exhibit complex, hierarchical arrangements that strongly influence macroscopic properties, yet consistent quantification remains challenging due to nonlinear interactions and limited unified modeling strategies. Existing approaches inadequately capture generalized structure–property mappings across diverse polymer systems. This research aims to establish a machine learning-based quantification model for polymer structure–property relationships to support predictive material design. A Polymer Structure Property Dataset of 5,000 polymer samples includes structural descriptors and experimentally measured …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 737–754 Read article
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A Threshold-Weighted Mathematical Fusion Model for Epidemic Outbreak Prediction Using SEIR Residual Dynamics and Cloud-Based Machine Learning
Abstract: Accurate prediction of epidemic outbreaks is critical for effective public health management, resource planning, early warning generation, and timely intervention by municipal authorities. Traditional compartmental models such as Susceptible–Exposed–Infectious–Recovered (SEIR) offer valuable epidemiological insights and mathematical interpretability; however, they may not adequately capture the complex nonlinear relationships present in real-world urban health systems. Conversely, data-driven machine learning techniques can identify hidden patterns in large datasets but often lack epidemiological structure …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 2, 2026 · pp. 12–19 Read article
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Investigation of Mechanical Characteristics of 3D Printed Composite Materials (Polyoxymethylene and Nylon (PA6))
Abstract: Metals and thermosetting polymers are being replaced by 3D printed fiber reinforced composites because of their lightweight construction and mechanical performance. The adoption of 3D printing technology is due to reduced material waste, design freedom, and the ability to construct complicated structures. A technique for additive manufacturing that can create intricately functional parts is fused deposition modeling. The 3D printed nylon fiber reinforced polyoxymethylene samples are fabricated with different proportions …
Published in Journal of Polymer & Composites · Vol. 12, Issue 1, 2024 · pp. 53–64 Read article
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Real-Time Crack Detection in Polymer Composites Using Embedded IoT Sensor Networks
Abstract: This study developed an embedded Internet of Things sensor network for real-time crack detection, localization, and severity assessment in glass–fiber-reinforced polymer composites. Four polyvinylidene fluoride sensors were embedded near the laminate mid-plane and connected to synchronized wireless acquisition nodes. Controlled low-velocity impacts generated graded damage states. Ultrasonic C-scan and optical microscopy provided independent labels. A compact multi-channel convolutional model processed normalized waveforms, spectral entropy, signal energy, and arrival-time differences at …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 866–899 Read article
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Thermal Degradation Kinetics and Activation Energy of Recycled High-Density Polyethylene/Fly Ash Composites at Varying Filler Loadings
Abstract: The ever-increasing plastic waste and coal fly ash are a serious environmental problem, which have to be addressed with effective recycling methods that transform plastic waste and coal fly ash into high value-added composites of good thermal properties. Although the use of recycled high-density polyethylene (HDPE) is an area of interest, the effect of fly ash reinforcement on thermal degradation kinetics and activation energy is still poorly characterized, and a …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Biomimicry of Eucalyptus Leaf Design for Optimization and Fabrication of Airfoil
Abstract: Biomimicry is the practice of drawing inspiration from natural forms to solve engineering problems, which has become progressively popular for refining design efficiency and performance. This work discovers how biomimicry can be applied to airfoil design, precisely through the unique structure of Eucalyptus leaves, a concept rarely explored in airfoil profiling. The work presented here, focuses on enhancing airfoil designs by incorporating the intricate features of these leaves. The airfoil …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 359–372 Read article
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Near-Surface Seismic Refraction Tomography; a case study for geotechnical application
Abstract: Usually, among geophysical techniques, seismic refraction methods are used to investigate near surface geology for engineering purposes. In these study physical parameters, longitudinal seismic wave velocities were used to characterize the shallow subsurface layers for geotechnical application. The physical response of subsurface materials varies as the structure, porosity, fluid saturation, composition and tie-up vary. These variations primarily viewed in the first arrival time of seismic waves. With the necessary steps, …
Published in Journal of Geotechnical Engineering · Vol. 6, Issue 2, 2019 · pp. 18–26 Read article
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Solid Rocket Motor Case: A Review of Existing Design and Composite Material Criteria
Abstract: Solid propulsion systems are an integral part of inaugural vehicles for many space agencies because of their relatively simple design and high reliability. The solid propulsion rocket motor case design, including the material used for fabrication, is an important aspect as it affects the solid rocket motor's performance, reliability, and safety. In this abstract, an attempt has been made to review the most commonly used materials in the manufacture of …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 224–232 Read article
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Development And Examination of a Composite Material Reinforced with Natural Bamboo Fiber
Abstract: This work provides a novel replacement for fiber-reinforced polymers (FRP) by integrating bamboo fibers into an epoxy matrix. Numerous studies are being conducted in this area to reach the intended standard. This composite exhibits a strong resemblance to synthetic fiber-based composites. This is mainly because to the benefits, which include low cost, biodegradable qualities, easy availability, non-toxicity, non-abrasiveness, and light weight. The representation used for the BFRP was a single …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 417–425 Read article
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Statistical and AI Approaches to Measure Sustainability Performance of Enterprises
Abstract: Measuring sustainability performance has become a critical priority for enterprises facing increasing regulatory pressure, stakeholder expectations, and global sustainability challenges. Traditional assessment methods, largely based on static indicators and manual reporting, often struggle to capture the multidimensional, dynamic, and data-intensive nature of sustainability. This study explores the integration of statistical and artificial intelligence (AI) approaches to evaluate and enhance the sustainability performance of enterprises in a more robust, accurate, and …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 1, 2026 · pp. 30–36 Read article
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Critical Review on Multifunctional Polymer Composites for Weight Reduction and AI Based Battery Thermal Management in Electric Vehicles
Abstract: The rapid growth of electric vehicles (EVs) has intensified the need for advanced materials and intelligent control systems capable of improving energy efficiency, driving range, thermal safety, and overall vehicle sustainability. This paper presents a critical review of multifunctional polymer composites and artificial intelligence-based battery thermal management systems (AI-BTMS) for next-generation EV applications. Polymer composites reinforced with carbon fibers, graphene, boron nitride, nanoclays, and carbon nanotubes offer significant advantages over …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 603–619 Read article
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Thermo-Structural Machine Learning Framework for Malicious Sample Detection and Validation in Polymer Composite Materials
Abstract: The increased use of polymer composites in aerospace, automotive, biomedical and industrial applications has increased the urgency of developing dependable methods to detect malicious samples with counterfeited resins, unauthorized additives, recycled components, hidden flaws, or purposefully degraded physical properties. Most current machine learning techniques have focused either on isolated spectral analysis or detecting flaws in materials; as such, they are unable to perform joint verification of both chemical authenticity and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article