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1790 articles for “RANS”
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Tensile and Microstructural Behaviour of Friction Stir Welded AL7050 Hybrid Composites Reinforced with Multani Mitti and Cow Dung Ash
Abstract: The study examines Al7050 aluminum alloy composites made by stir casting and bonded by friction stir welding (FSW), supplemented with environmentally friendly Multani Mitti (MM) and cow dung ash (CDA). The study assesses the effects of different hybrid reinforcement contents (0–8 vol%) on the microstructural properties, hardness, and tensile behavior of the base alloy and its FSW joints. Tensile testing reveals an initial decline at 2% reinforcement but a notable …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 78–89 Read article
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Structure–Property Modeling of Cement-Based Multi-Component Composites Using Ensemble Machine Learning and Explainable Feature Attribution
Abstract: Accurate prediction of compressive strength is central to structure–property optimization, quality control, and sustainability-driven design in cement-based composite materials. Cementitious systems represent heterogeneous multi-phase composites composed of reactive binder matrices and dispersed aggregate phases, whose macroscopic mechanical performance emerges from complex nonlinear interactions among constituents and curing-dependent microstructural evolution. This study develops a data-driven structure–property modeling framework to quantify the nonlinear dependence of compressive strength on multi-component composite composition and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 112–131 Read article
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Machine Learning Assisted Design and Analysis of Polymer Composite Materials for Sustainable Renewable Energy Systems
Abstract: Accurate prediction and optimization of polymer composite properties is of paramount importance in the design of these lightweight, durable, and sustainable materials within renewable energy technologies. This work will provide a holistic machine learning-assisted framework that unites materials informatics with domain-specific features and state-of-the-art ML methodologies in the prediction of the mechanical properties of polymer composites, such as tensile strength. This includes embedding several ensemble models, including Random Forest and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 391–402 Read article
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Polymers and others Advance Materials: A State-of-the-Art Review
Abstract: Developing emerging technologies requires pushing the boundaries of material science. Right now, conventional neat polymers simply do not last long enough in the field. They suffer from sudden mechanical failure, struggle with thermal instability, and throwaway disposal methods have created a massive environmental crisis. To tackle these exact issues, this review provides a critical evaluation of two rapidly growing solutions: sustainable bio-composites and self-healing polymer systems. Rather than offering a …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 108–119 Read article
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Key Issues in Biofuel Production from Microalgae: A Review
Abstract: Approximately 80 percent of the global energy needs are met by fossil fuels. Excessive reliance on these fuels has led to environmental pollution, climate change, and health problems for all living beings. Thus, identifying alternative energy sources is crucial to meeting global energy demands and reducing environmental pollution. It is expected that energy from cost-effective renewable resources will power the world’s energy systems in the future. Algae biomass has become …
Published in Research & Reviews : Journal of Botany · Vol. 15, Issue 1, 2026 · pp. 22–35 Read article
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Data-Driven Digital Twin Model for Real-Time Strength Estimation in Polymeric Materials
Abstract: The real-time prediction of mechanical properties in polymeric materials is essential for ensuring quality, consistency, and operational efficiency in modern manufacturing systems. As industrial processes become increasingly complex, traditional trial-and-error approaches to material characterization are no longer sufficient to meet the demands of high-throughput production environments. This study introduces a digital twin-integrated machine learning approach for the real-time estimation of tensile strength in polymeric materials by combining simulation-driven insights with …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 246–257 Read article
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Mathematical Modelling and Experimental Analysis of a 3D Printed PLA UAV Propeller using NACA 4412 Airfoil
Abstract: The usage of unmanned aerial vehicles (UAVs) has grown significantly because they are cost-effective and easy to availability for many applications. However, researchers have focused on the designing for various UAV propeller/rotors geometries, including their aerodynamic performance and structural examination. An elegant, designed propeller can enhance the UAV's endurance limit and its reliability. This research focuses on designing of UAV propeller and its fabrication using Polylactic acid (PLA) material using …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 825–832 Read article
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Smart Wearable Health Pendant Using IoT and Machine Learning for Heart Rate Monitoring and Detecting Falls
Abstract: Cardiovascular illnesses and accidental falls frequently occur among individuals and at-risk populations. This is the reason we genuinely require a device that can monitor their well-being continuously. We are referring to a health pendant designed for seniors and groups at risk can wear. This health pendant leverages Internet of Things technology and machine learning to monitor heart rate and identify falls. Our health pendant system incorporates an ESP32 microcontroller, a …
Published in Journal of Instrumentation Technology & Innovations · Vol. 16, Issue 2, 2026 Read article
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GSM Based OTP Security Locker Using Arduino
Abstract: This work presents a microcontroller-driven secure locker system that leverages GSM-based communication for dynamic user authentication. Unlike conventional locking mechanisms that depend on static credentials or physical keys, the proposed system utilizes a time-sensitive one-time password (OTP) transmitted to a pre- authorized mobile number. The authentication workflow is managed using an Arduino-based embedded platform integrated with a SIM A7670C GSM module. The system coordinates OTP generation, transmission, and validation in …
Published in Journal of Microcontroller Engineering and Applications · Vol. 13, Issue 2, 2026 Read article
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Assessment of Knowledge Regarding Golden Hour of Stroke Among Individuals Attending Selected OPDs of a Tertiary Care Hospital
Abstract: “Time is brain” highlights the urgency of stroke management, as millions of neurons are lost each minute following an acute ischemic stroke. Globally, stroke is a leading cause of death and disability, with a significant burden in India, where nearly 1.8 million cases occur annually. Early treatment within the “golden hour” is critical to reduce mortality and long-term neurological damage. However, public awareness regarding early recognition and timely intervention remains …
Published in International Journal of Community Health Nursing And Practices · Vol. 4, Issue 1, 2026 · pp. 57–63 Read article
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Muscle vs. Heart: A Comprehensive Review of Anabolic Steroid-Induced Cardiovascular Risks
Abstract: Anabolic-androgenic steroids (AAS) are widely used by athletes and bodybuilders to enhance muscle mass and performance. However, their misuse is associated with serious and often underrecognized cardiovascular risks. Despite their popularity, particularly among young adults, the long-term consequences of AAS abuse on cardiovascular health remain insufficiently explored in the literature. This review aims to: 1. Analyze the cardiovascular implications of AAS use. 2. Elucidate the molecular and physiological mechanisms contributing …
Published in International Journal of Toxins and Toxics · Vol. 3, Issue 2, 2026 Read article
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Genetic Counseling: A Pathway to Understanding and Managing Inherited Health Risks
Abstract: Genetic counseling is an essential aspect of personalized medicine that supports individuals and families in understanding the implications of inherited health conditions. With the rising prevalence of genetic disorders and advancements in genomic technologies, counseling provides critical insights into risk factors, diagnostic options, and informed decision-making. This paper explores the classification of genetic disorders, major genetic and environmental causes, and the expanding role of genetic counseling within India’s culturally diverse …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 4, Issue 1, 2026 · pp. 10–14 Read article
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Enhancing Smart Grid Resilience Through AI-Based Fault Classification
Abstract: Traditional power grids can be developed into smart grids, and they are comprised of the latest information and communication technologies (ICTs), which are based on establishing the relationship between the conventional electricity systems along with the usage of smart meters and distributed generation. This dynamic improves energy efficiency and the integration of renewables. Well, the dynamic and reversible power injection from Distributed Energy Resources (DERs) creates substantial operational problems. These …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 10–15 Read article
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Performance Evaluation of Kevlar-Sisal-S-Glass Hybrid Composites with Ceramic Fillers for Structural Applications
Abstract: This study examines the mechanical properties of hybrid composite laminates reinforced with Kevlar, sisal, and S-glass fibers, and incorporating ceramic fillers—silicon carbide (SiC) and aluminum oxide (Al2O3)—within an epoxy matrix. The hand lay-up method was utilized to produce the laminates, ensuring a uniform fiber stacking sequence and including 10% filler material. Two composite variations were synthesized: one incorporating SiC and the other Al₂O₃, and both underwent tensile, flexural, hardness, and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 Read article
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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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Explainable GeoAI-Based Multi-Temporal Remote Sensing Framework for Early Detection of Climate-Induced Land Cover Transformation
Abstract: Climate change has emerged as one of the primary drivers of rapid land cover transformation, affecting ecosystems, agricultural productivity, biodiversity, and regional sustainability. Traditional remote sensing approaches often face challenges in detecting subtle and early-stage land cover changes due to limitations in temporal analysis and model interpretability. This study proposes an Explainable GeoAI-based multi-temporal remote sensing framework for the early detection of climate-induced land cover transformation using multi-source satellite imagery …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 2, 2026 Read article
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Fractional Calculus-Based Analysis of Magneto-Thermal Nanofluid Flow Over Stretching and Shrinking Surfaces
Abstract: This study presents a comprehensive investigation of magneto-thermal hybrid nanofluid flow over stretching and shrinking surfaces using a fractional calculus framework to capture the memory and hereditary characteristics of complex fluid transport phenomena. The proposed model incorporates the effects of magnetic field intensity, thermal radiation, viscous dissipation, Brownian motion, and thermophoretic diffusion on the velocity and temperature distributions within the boundary layer region. A fractional-order derivative formulation is employed to …
Published in Recent Trends in Fluid Mechanics · Vol. 13, Issue 2, 2026 Read article
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Metamaterial-Based Thermal Shielding Structures for Reusable Hypersonic Space Transportation Systems
Abstract: The rapid development of reusable hypersonic space transportation systems has intensified the need for advanced thermal protection technologies capable of withstanding extreme aerodynamic heating conditions encountered during atmospheric re-entry and sustained hypersonic flight. Conventional thermal shielding materials often suffer from high structural weight, limited adaptability, thermal fatigue, and degradation under repeated thermal cycling. This study proposes a novel Metamaterial-Based Thermal Shielding Structure for Reusable Hypersonic Space Transportation Systems, integrating engineered …
Published in Journal of Aerospace Engineering & Technology · Vol. 16, Issue 2, 2026 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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Intelligent Farming: Integrating AI and IoT for Sustainable Agriculture
Abstract: Artificial Intelligence (AI) and the Internet of Things (IoT) are transforming modern agriculture by enabling data-driven, resource-efficient, and climate-resilient farming practices. This review critically examines recent advances in AI-IoT integration across crop production, irrigation management, pest and disease surveillance, and supply chain optimization through an analysis of published literature and documented case studies. The review indicates that AI-assisted predictive analytics combined with IoT-based real-time sensing significantly improves decision-making in precision …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 2, 2026 Read article