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431 articles for “rat model”
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Dynamic deformation and microstructural characteristics of AA5083 under the influence of electrochemical behaviour using equal channel angular pressing
Abstract: Large-scale Equal channel angular pressing is a great engineering material that has more potential for AA5083 industrial applications. Uniaxial dynamic compressive tests across a temperature of 448 K were conducted for the ECAP technique AA5083 in order to create such a design framework. The microstructure was described using transmission electron microscopy and scanning electron microscope both before and after dynamic loading. The plastic flow behaviour of the AA5083 was described …
Published in Journal of Polymer & Composites · Vol. 12, Issue 1, 2024 · pp. 95–112 Read article
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Dosing Control of Urea in Selective Catalytic Reduction (SCR) to enhance the reduction of Nitrogen oxides
Abstract: Selective Catalytic Reduction (SCR) is an effective aftertreatment technique designed to comply with rigorous emission criteria established by global regulatory authorities for the elimination of nitrogen oxides from exhaust streams. Since NOx and ammonia reagents are poisonous and an excess of either is therefore very undesired, it poses an intriguing control problem, particularly at high conversion. SCR systems must reduce NOx emissions as much as possible and reduce the possibility …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 110–120 Read article
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Transforming Transportation in India: Exploring the Challenges and Opportunities of Electric Vehicles
Abstract: They also help lessen the impact of ozone-depleting substances and support the widespread adoption of renewable energy. Although significant research has focused on EV features, performance, and charging infrastructure, challenges in production and network modeling persist. This paper provides an overview of various EV technologies, including EVs, hybrid electric vehicles (HEVs), plug-in hybrid electric vehicles (PHEVs), and battery electric vehicles (BEVs), and evaluates their market penetration rates. It explores various …
Published in International Journal of Energy and Thermal Applications · Vol. 2, Issue 2, 2024 · pp. 17–23 Read article
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Artificial Neural Network Modelling to Optimize Micro-Drilling Parameters of ECDM of Developed Novel Zn/(Ag+Fe)-MMC
Abstract: Several engineering fields have increased their use of metal matrix composites (MMCs) in the past few years. Due to the increase in composites, the demand for accurate machining has also become important. Specifically, pertaining to biomaterial applications, accuracy factor with desired surface finish is critical. While the near-net shape manufacturing process has advanced, MMCs frequently require post-mould machining to achieve surface quality, and dimensional tolerances. In the present study, a …
Published in Journal of Polymer & Composites · Vol. 11, Issue 1, 2023 · pp. 01–13 Read article
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Heart Disease Evaluation Through Echocardiography Using CNN, ResetNet50, VGG16, and Image Processing
Abstract: Heart conditions stand out as primary contributors to untimely mortality among adults aged 30 and above, notably among those grappling with elevated cholesterol levels and diabetes. Detecting such ailments often necessitates the use of an echocardiogram, providing an intricate portrayal of the heart. However, precise analysis hinges on both the proper functioning of the echocardiogram apparatus and the proficiency of a skilled radiologist, a condition not always met. Manual scrutiny …
Published in International Journal of Information Security Engineering · Vol. 2, Issue 2, 2024 · pp. 25–35 Read article
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Super Ni 718 Machinability Investigation on Electrical Discharge Machining Using Hybrid Al 7(075+178) Electrode Under Abrasive Assisted Dielectric
Abstract: As aluminum alloy is the lightest metal and has the best mechanical qualities among metal, it has proven to be a perfect choice for strututal industry, particularly in the aerospace sector.7xxx alloys from the Al alloy family are widely used in aviation constructions due to their outstanding processing, welding efficiency, great specific strength & stiffness, and high toughness. The two aluminum alloys that are most frequently used in airplane structures …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 1–17 Read article
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Bio Materials and Nanotechnology: Green Tea (Waste)– Aluminium Nanoparticles (Gt-Al Nps) For Methylene Blue Adsorption
Abstract: This study examines the adsorption of Methylene Blue (MB) dye from aqueous solutions using Aluminium Nanoparticles synthesized with green tea powder as a biological reducing agent. Methylene Blue, an aromatic phenothiazine dye, is widely applied in medical diagnostics and various industrial processes, but its uncontrolled release into water bodies leads to environmental pollution due to its intense colour, stability, and potential toxicity. Therefore, identifying an efficient and eco-friendly adsorbent for …
Published in Journal of Materials & Metallurgical Engineering · Vol. 15, Issue 3, 2025 · pp. 96–107 Read article
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Styrene, Carbonate Materials to Minimize Aberration in Free Space Optical Communications
Abstract: Enhancing wireless connectivity, particularly in harsh weather circumstances, is possible through the use of polymer-based materials in Free Space Optical (FSO) communication systems. In the production of optical components like lenses, beam shapers, and protective enclosures for FSO transmitters and receivers, polymers are being used more and more because of their lightweight, affordable, and adjustable optical qualities. This study examines how well a polymer-integrated FSO link performs over 1–10 km …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 675–686 Read article
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Formulation Challenges in Long-acting Injectable Small Molecules: Emerging Strategies and Perspectives
Abstract: Long-acting injectable (LAI) formulations represent a transformative approach in pharmacotherapy, particularly for conditions demanding sustained drug exposure over weeks to months. Although biologics have dominated this space historically, the adaptation of LAI technology to small molecules presents a distinct and complex set of challenges rooted in physicochemical properties, manufacturing scalability, and regulatory expectations. This review systematically addresses the principal formulation barriers encountered in developing LAI small-molecule products, including aqueous solubility …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 13, Issue 2, 2026 Read article
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Analysis of Proposed Diagrid Geometry Using Golden Ratio in Non-Linear Regime of Material
Abstract: Lateral loads are critical in the design of high-rise structures. The buildings need to have high stiffness and must be able to resist lateral deformations and torsional rotations without having discomfort to the user. Diagrid structural system is one of the systems used in resisting lateral forces. In this study, diagrid geometry is generated using the ‘Golden Ratio’ concept and used to model 40, 50, and 60 story structures. Two …
Published in Journal of Construction Engineering, Technology & Management Read article
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Fracture Analysis of FRP Composites under Thermo-Mechanical Loads for Different Geometry Cutouts
Abstract: Fiber-reinforced composites (FRPs) are used extensively in structural and non-structural components of the aerospace and automotive industries. To utilize these materials for structural applications, it is necessary to understand the fracture behavior of the material. In the present investigation of carbon fiber laminates, studies were carried out to understand the fracture toughness characteristics of the carbon fiber laminates with mechanical, thermal, and thermo-mechanical loadings of modes I, II, and III. …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 3, Issue 2, 2025 · pp. 1–10 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
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Application of Monod and Finite Element Models for Groundwater Cleanup in the Niger Delta Area of Nigeria
Abstract: The Niger Delta region of Nigeria, known for its rich biodiversity and extensive oil and gas exploration activities, faces significant environmental degradation, including groundwater contamination. This study investigates the application of Monod kinetics and Finite Element Models (FEM) in the cleanup of groundwater contamination in the Niger Delta. Specifically, the research integrates Monod models to understand microbial degradation rates in contaminated aquifers and FEM to simulate the groundwater flow and …
Published in Journal of Catalyst & Catalysis · Vol. 12, Issue 1, 2025 · pp. 39–47 Read article
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Wear and Tribological Characteristics of Novel Metal Matrix Composites
Abstract: The development of advanced metal matrix composites (MMCs) with enhanced tribological performance has become increasingly important due to the premature failure of critical engineering components operating under severe wear conditions in automotive, aerospace, marine, defense, and power generation systems. Conventional composites such as Copper–Alumina and Aluminium–Silicon Carbide have demonstrated improved mechanical and wear characteristics; however, their widespread application is often limited by issues including particle agglomeration, non-uniform reinforcement distribution, porosity …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1326–1346 Read article
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Modeling and Analysis of a Diaphragm Micropump with Annular Actuation Using Bond Graphs
Abstract: Micropumps have been around for a while and are utilized for many things, including electrical cooling and biomedical applications. Numerous researchers have experimented with varying the chamber, diaphragm, pumping mechanism, or actuation mechanism materials to improve the device's performance. Despite this, the micropumps employed in the practical applications mentioned above fall short of meeting the necessary flow rates and pressure. In this study, annular actuation is proposed to enhance performance. …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 2, Issue 2, 2024 · pp. 34–48 Read article
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Improved Cooling Effectiveness in Radiators and Heat Exchangers with Nanofluid-Based Technology
Abstract: This study discusses how the process of heat transfer in radiators and heat exchangers can be improved using nanofluids and analysis of computational fluid dynamics. These nanofluids comprise Al₂O₃ and ZnO dispersed in water-based ethylene glycol solutions, and graphene oxide dispersed in water-based solutions, and performance evaluation was done for the range of flow rates 180–420 l/h. And a 3D CAD model was created using the ANSYS Workbench. It was …
Published in Recent Trends in Fluid Mechanics · Vol. 12, Issue 1, 2025 · pp. 31–62 Read article
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The Effect of Dynamics and Mass Transfer Limitation on the Kinetic Growth Rate of Methane Gas Hydrates
Abstract: Hydrate management aims to prevent impediments to fluid flow in pipes caused by hydrate deposition. To achieve this goal effectively, a comprehensive understanding of the thermodynamics and kinetics of hydrate formation is essential for predicting their equilibrium conditions, quantifying the amount of deposition, and estimating the associated risk. Hydrate growth studies are a relatively new field, and independent laboratory experiments have shown that hydrate growth is controlled by heat transfer, …
Published in Journal of Petroleum Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 76–84 Read article
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Role of Satellite Data Assimilation on ERA-Interim and ERA5 Wave Parameter Ratios – A Case Study based on Year-long In-Situ Observations in the Bay of Bengal
Abstract: The rapid decline in the energy resources forced mankind to tap other forms of natural energy resources in the light of exponential increase in the demand due to over-population. The energy from ocean waves is one of the cleanest sources of energy available perennially that changes seasonally and is site-specific. To assess the wave power potential at any site, knowledge of the wave parameters such as wave height, period and …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 1, 2025 · pp. 1–20 Read article
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Comparative Cooling Analysis of EV Battery Packs using MATLAB Simscape
Abstract: Since electric vehicles (EVs) transition to high- voltage systems to enable quicker charging and enhanced delivery of power, the high heat emitted during rapid discharge is a significant challenge. This paper presents a direct comparative study of passive air cooling and active liquid cooling of a lithium-ion battery pack. Due to the high cost of constructing the physical prototypes, we created a computationally efficient and hierarchical virtual prototype in MATLAB …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 4, Issue 2, 2026 Read article
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Genomic Selection for Grain Yield in Wheat Using Machine Learning on DArT Molecular Markers: A Comparative Evaluation Across Multi-Environment Trials
Abstract: Genomic selection (GS) predicts complex quantitative traits directly from genome-wide molecular markers, bypassing the need for extensive phenotypic trials and accelerating plant breeding cycles. We conducted a comparative evaluation of seven regression approaches — ridge regression (the machine-learning equivalent of RR-BLUP), Lasso, Elastic Net, Partial Least Squares, linear Support Vector Regression, Random Forest, and Gradient Boosting — for predicting grain yield from 1,279 Diversity Array Technology (DArT) molecular markers genotyped …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 Read article