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942 articles for “Mechanical performance”
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An Overview of Artificially Generated Neural Networks Inside the Brain’s Structure in an Alzheimer’s Disease Patient
Abstract: Alzheimer’s disease produces significant neuronal loss, while the precise mechanisms and timing are yet unknown. Other types of cell death, such necroptosis, parthanatosis, ferroptosis, and cuproptosis, need further investigation. Based on brain images of people with mild cognitive impairment, this study assesses artificial neural networks (ANNs) used to diagnose and predict Alzheimer’s disease (AD). This research was conducted considering growing recognition among researchers and medical professionals regarding the importance of …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 15, Issue 2, 2025 Read article
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Modelling of Wind-Wave Misalignment for Floating Offshore Wind Turbines
Abstract: The influence of the combined effects of wind and waves onto the performance of a floating offshore wind turbine (FOWT) is analyzed. A study of the wind conditions relative to the position of the aerodynamic rotor has been made, analyzing how the angle of incidence of the wind (angle of attack) varies with the wind direction and the inclination of the wind turbine mast as a consequence of the undulatory …
Published in Journal of Offshore Structure and Technology Read article
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Design and Development of Screw Detection System : A case study
Abstract: This study explores the design of a vision-based screw detection and orientation system for industrial automation, inspection, and robot disassembly. By integrating machine learning algorithms like region-based convolutional neural networks (R-CNN) with traditional image processing and impedance sensing, the system performs real-time screw presence detection, head type identification, and alignment. Three key technologies—deep learning classification, edge-based geometric analysis, and impedance verification—are integrated into a single modular system. The findings indicate …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 4, Issue 1, 2026 · pp. 30–36 Read article
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The Convergence of AI and Composites - A Review Anchored in Patent Trends
Abstract: The integration of artificial intelligence (AI) and machine learning (ML) techniques is revolutionizing the design, analysis, and optimization of polymer (PC/FRP), metal (MC), and ceramic matrix composites (CC). Techniques such as artificial neural networks (ANN), deep learning (DL), genetic algorithms (GA), and physics-informed machine learning (PIML) are employed to enhance property estimation, process optimization, and predictive modeling. These AI-driven frameworks enable virtual testing, application-specific material design, and real-time decision-making, while …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 182–198 Read article
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Improving Black Cotton Soil with Sodium Hydroxide and Fly Ash: An Assessment of Optimum Moisture Content, Dry Density, and California Bearing Ratio
Abstract: This study investigates the stabilization of Black Cotton Soil (BCS), an expansive clayey soil primarily composed of montmorillonite minerals, using sodium hydroxide (NaOH) and fly ash. Due to its high plasticity and significant volume changes with moisture, BCS is challenging for construction purposes. Adding NaOH and fly ash can potentially improve the soil's moisture tolerance, compressibility, and reduce its plasticity, making it more suitable for structural applications. The research evaluates …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 192–201 Read article
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Next-Generation Lightweight Nanocomposite Structures for Electric Mobility
Abstract: The rapid expansion of the electric vehicle (EV) sector has intensified the demand for battery enclosures that are lightweight, mechanically strong, thermally stable, and environmentally sustainable. This research focuses on the design and sustainable fabrication of hybrid nanocomposites for advanced EV battery housings. The proposed material system integrates carbon fiber, glass fiber, and graphene nanoplatelets within a bio-based epoxy matrix, resulting in improved mechanical strength, enhanced thermal stability, and superior …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1147–1156 Read article
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Effect of Particle Size Mix Ratio of Clay and Agro-Based Material for AGO and PMS Treatment on Microbial Growth
Abstract: The characteristics of possible microbes isolated and identified on adsorption process involving AGO and PMS as contaminants in fresh water medium was monitored using agro – based materials. The formulated adsorbent is made of clay with ago-based materials of Banana Ogoni Red (BOR) Banana Native (BN), Plantain Agbagba 1 (PA1), and Plantain Ogoni Red (POR). The particle size mixed ratio of clay to the various agro-based materials were 150𝜇𝑚 R5:5, …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 11, Issue 2, 2024 · pp. 05–14 Read article
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Enhancing Robot Autonomy: Integrating AI for Advanced Decision-making in Autonomous Robotic Systems
Abstract: The capabilities of autonomous robotic systems have been drastically changed by the rapid progress in artificial intelligence (AI) technologies. In this work, we investigate the integration of AI approaches to improve robot autonomy by presenting even more advanced mechanisms for decision-making. Almost all traditional robotic systems involve predefined algorithms, making them unable to cope with dynamic environments. They can also help with learning based on machine learning and deep learning …
Published in Journal of Advancements in Robotics · Vol. 11, Issue 3, 2024 · pp. 28–37 Read article
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Low-Power Reconfigurable Digital Filter Design Using FPGA for IoT Edge Devices
Abstract: The rapid evolution of the Internet of Things (IoT) has led to an exponential increase in the deployment of edge devices that continuously process real-time sensor data under strict power, latency, and computational constraints. Digital filtering remains a critical operation in these devices, supporting tasks such as noise removal, data conditioning, and feature extraction for intelligent decision-making. However, conventional filter implementations on microcontrollers or fixed digital signal processors often struggle …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 3, Issue 2, 2025 · pp. 23–34 Read article
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Intelligent Traffic Monitoring: YOLO v8 and CSV Data Integration
Abstract: The “Intelligent Traffic Monitoring: YOLO v8 and CSV Data Integration” project is a cutting-edge solution for intelligent traffic monitoring, with YOLO v8 (You Only Look Once) serving as the fundamental technology for real-time vehicle detection and traffic counting on roads. In addition to these features, the system interfaces effortlessly with data pipelines and machine learning projects by storing gathered traffic data in CSV (Comma-Separated Values) format. The major goal of …
Published in International Journal of Electronics Automation · Vol. 1, Issue 2, 2023 · pp. 20–24 Read article
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Multi-Objective Optimization of Polymer-Based Functionally Graded Composites for Lightweight Structures
Abstract: Functionally graded composites (FGCs) improve lightweight structural performance by allowing material properties to change smoothly across a component. Polymer-based FGCs (P-FGCs), in particular, are gaining prominence in aerospace, automotive, and biomedical industries due to their excellent strength-to-weight ratio, tunability, and ease of processing. However, optimizing these materials for lightweight structural applications requires addressing conflicting design objectives, such as maximizing stiffness while minimizing weight or enhancing thermal resistance while maintaining manufacturability. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 961–973 Read article
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Design and Simulation of Solar Powered Semi-Automatic Grass Cutter
Abstract: The maintenance of large area of grass lawns has always been a tedious task considering continuous human labour and long hours of work. Inorder to reduce the fatigue human work a novel design of automated grass cutting machine powered with a solar panel is designed and simulated for remote operated functioning. The mechanism works with the skeletal frame of a normal grass cutting machine face lifted with ultrasonic sensor for …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 17–24 Read article
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A Review on Loading Methodologies of Active Aromatic Substance into Biopolymers
Abstract: Biopolymer-based films are increasingly being studied as sustainable alternatives to conventional packaging materials due to their biodegradability, renewability, and potential for functionalization. There are several natural polymers in the category of biopolymers such as soy protein, zein, cellulose, chitosan, and several other biodegradable synthetic polymers such as polylactic acid and polycaprolactone. However, these often show limitations in barrier properties, mechanical strength, and resistance to microbial contamination. To overcome these drawbacks, …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 16, Issue 1, 2026 · pp. 9–13 Read article
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Evaluation of the anti diabetic effects of ethanolic root extract from polyalthania longifora in diabetic rats induced by streptozotin and nicotinamide with considaertion of toxocological aspects
Abstract: The root of Polialthia Longifolia was selected for the evaluation of antidiabetic potential in STZ-nicotinamide induced diabetic rat model.The root extract was extracted by hot percolation using ethanol as a solvent in soxhlet apparatus and the preliminary phytochemical screening was performed and it shows that the ethanolic root extract of Polialthia Longifolia contains alkaloids, glycosides, flavonoids and tannins. Safety profile is essential for the drugs obtained from the plant origin. …
Published in Research and Reviews: A Journal of Toxicology · Vol. 14, Issue 1, 2024 · pp. 37–50 Read article
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Influence of Cementitious and Aggregate Replacements on the Compressive Strength of Pervious Concrete
Abstract: Pervious concrete is a sustainable construction material designed to enhance stormwater management while maintaining adequate mechanical strength. This study investigates the compressive strength of pervious concrete cubes with various cementitious and coarse aggregate replacements. The research examines the effects of fly ash, silica fume, steel slag, and rubber chips on compressive strength at 7 and 28 days of curing. The results indicate that moderate fly ash replacement enhances compressive strength, …
Published in Journal of Construction Engineering, Technology & Management · Vol. 15, Issue 2, 2025 · pp. 9–14 Read article
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From Waste to Strength: Hybrid Binder Approach for Sustainable M25 Concrete
Abstract: The growing demand for concrete in infrastructure development has led to increased cement consumption, raising serious environmental concerns due to high energy use and carbon dioxide emissions correlated with cement manufacturing. In this context, the use of industrial residues as partial substitutions for cement has achieved deep focus as a sustainable construction strategy. The current investigations experimentally explore the strength and quality performance of concrete produced using a hybrid binder …
Published in Journal of Construction Engineering, Technology & Management · Vol. 16, Issue 1, 2026 · pp. 24–32 Read article
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Advances in Polymer Chemistry: The Role of Polymer Composites in Modern Applications
Abstract: Polymer composites have gained immense significance in various industries due to their superior mechanical, thermal, and chemical properties, making them highly versatile materials. These composites are formed by combining polymer matrices with reinforcing agents such as fibers, nanoparticles, or other fillers to enhance specific properties. The field of polymer chemistry plays a crucial role in the development and optimization of these materials, ensuring their suitability for diverse applications. This paper …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 51–56 Read article
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Image-Based Evaluation of Implant Tissue Interface Integrity in Polymer Orthopaedic Devices
Abstract: Polymer orthopedic implants offer radiolucency and mechanical compatibility with bone, but long-term success depends on maintaining a stable implant–tissue interface. Routine imaging is widely available for follow-up, yet interface integrity is commonly judged qualitatively, limiting early detection of fixation compromise and reducing comparability across devices and time points. This work presents an image-based methodology to quantify interface integrity by extracting interpretable interface descriptors from a standardized interface belt around the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 170–179 Read article
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Integrative Machine Learning Approaches for Predicting the Rheological Behaviour of Soft Magnetorheological Elastomers
Abstract: Magnetorheological Elastomers (MREs) are advanced composite materials known for their ability to alter mechanical properties under external magnetic fields, making them highly valuable in adaptive damping systems, vibration control, and smart devices. The accurate prediction of rheological behavior in soft MREs remains a significant challenge due to the complex interplay between material composition and magnetic fields. To address this challenge, this study employs a multi-pronged approach that integrates traditional material …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 1083–1096 Read article
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Fault Diagnosis of Air Compressor (AC) System using Local Mean Decomposition (LMD) and Logistic Regression (LR) Machine Learning Classifier
Abstract: This article presents a detailed and systematic procedure for performing fault diagnosis in an air compressor (AC) system by analyzing the audio signals generated during its operation. The analysis covers both normal (healthy) conditions and seven distinct types of faults, including bearing failure, flywheel malfunction, inlet valve leakage, outlet valve leakage, non-return valve failure, piston ring defect, and rider belt issues. To acquire the acoustic signals, the researchers utilized a …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 416–427 Read article