Search
1084 articles for “Performance Optimization”
-
Enhancing Mechanical and Thermal Performance of M30 Concrete with Carbon Fibre Reinforcement
Abstract: This study examines the influence of carbon fibre incorporation on the mechanical properties of M30-grade concrete. A series of experimental investigations were conducted to assess the effects of varying carbon fibre content on compressive, split tensile, and flexural strengths. The results indicate a significant enhancement in mechanical performance with the inclusion of carbon fibres, with the optimum fibre dosage identified as 0.75%. At this content, the concrete achieved a peak …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 252–260 Read article
-
Enhanced Biodiesel Production Via Encapsulation of Yeast Cells in Biocompatible Polymers
Abstract: Yeast-based biodiesel production offers a sustainable alternative to conventional fossil fuels. However, factors like harsh environmental conditions and shear stress during processing can limit yeast cell viability and overall biodiesel yield. This study explores the potential of encapsulation technology using biocompatible polymers to improve yeast performance in biodiesel production. Encapsulation can create a protective barrier for yeast cells, shielding them from harsh environments and shear stress during processing. This protection …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 57–62 Read article
-
Machine Learning Framework for Optimizing Polymer–Metal Oxide Composites as Charge Selective Layers in Perovskite Solar Cells
Abstract: To achieve high-performance and stability of perovskite solar cells (PSCs), it was important to incorporate innovative interfacial materials to tune the balanced charge extraction, low recombination, and enhanced operational lifespan. On this note, polymer composites with metal oxides have been proposed as promising candidates as charge selective layers (CSLs), whereby they present a rare combination of tunable energy levels, improved film forming abilities, and better interface engineering capabilities. In this …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 1073–1098 Read article
-
Reactive Strength Index as a Predictor of Jump Height and Agility in Basketball Athletes
Abstract: This study examines the relationship between the Reactive Strength Index (RSI) and specific performance metrics, namely jump height and agility, in youth basketball players. The RSI, a measure derived from drop jump testing, provides insight into an athlete’s explosive strength and reactive capabilities—essential qualities for success in basketball, where quick directional changes and reactive power are integral to performance. A cohort of forty youth athletes, comprising 20 males and 20 …
Published in Recent Trends in Sports · Vol. 1, Issue 2, 2024 · pp. 8–13 Read article
-
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
-
Enhancing Power Conversion Efficiency in Tandem Solar Cells with Temporal Dynamic Graph Neural Network
Abstract: In modern homes, people want good comfort and also less electricity bill, so managing heating load and cooling load become very important. Heating Load (HL) and Cooling Load (CL) depend on many things like wall material, window size, sunlight, ventilation, and weather. Because of this many factors, calculation and optimization of HL and CL is little difficult and many time normal formulas give wrong or not perfect results. So in …
Published in Journal of Semiconductor Devices and Circuits · Vol. 13, Issue 2, 2026 Read article
-
Optimization of Type-4 Plastic Liner Composite Overwrapped Pressure Vessel Design
Abstract: Composite Overwrapped Pressure Vessels (COPVs) are prominently utilized for the storage of gases at high-pressure. Their widespread adoption is because they are significantly lighter weight compared to complete metal counterparts, but requires specialized design, and manufacturing process. This research employs finite element modelling to analyse the stress and failure assessments on a specific Type-IV COPV with plastic liner as core cylinder. This study aims to optimize COPV design by considering …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 405–412 Read article
-
Performance and Emission Profiles Enhancement of CI Engine with Aluminium Oxide-Reinforced Polymeric Composite in Biodiesel Blends
Abstract: The integration of aluminium oxide (Al₂O₃) nanoparticles into B10 biodiesel blends offers a promising approach to improving engine performance and reducing harmful emissions. This study evaluates the effect of Al₂O₃ additives on Brake Thermal Efficiency (BTE), Brake Specific Fuel Consumption (BSFC), and exhaust emissions in a compression ignition engine. Experiments were conducted using calibrated instruments, and uncertainties were considered with a coverage factor of 1.66, yielding an overall error margin …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 775–788 Read article
-
Automated Machine Learning System for Model Selection and Hyperparameter Optimization
Abstract: The proliferation of machine learning applications in various scientific and industrial domains has given rise to an urgent need for developing principled, automated techniques for optimal architecture selection and hyperparameter tuning for machine learning models without human expert intervention. In this paper, we introduce the Automated Machine Learning System for Model selection and hyperparameter Optimization (AMLSMO)—a state-of-the-art, all-encompassing AutoML system that combines the power of meta-learning-based warm-starting, Bayesian Optimization with …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 15–23 Read article
-
Nanotechnology-Enhanced Battery Management System for Passive Cell Balancing in Lithium-Ion Polymer Batteries for Electric Vehicles
Abstract: The automotive industry is swiftly moving towards eco-friendly innovations, with electric vehicles (EVs) taking center stage in this transformation. A crucial component of these vehicles is the battery, particularly lithium-ion polymer batteries, which exhibit superior performance compared to other battery types. However, these batteries are sensitive to both overvoltage and undervoltage conditions, posing potential safety risks. Additionally, imbalances between individual cells can degrade battery performance and reduce its service life. …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 26, Issue 3, 2024 · pp. 27–34 Read article
-
Exploring Polymer Substrates for CBSIW Antennas: Paper and Denim for Enhanced Gain and Bandwidth
Abstract: This paper presents a novel approach to antenna design by leveraging the unique properties of paper and Denim materials, both of which are polymers. This research underscores the potential of unconventional polymer materials like paper and jeans in antenna design, offering new avenues for the development of lightweight, flexible, and cost-effective communication devices for diverse wireless applications. The study focuses on the design and analysis of non-conventional substrate-based Circular Backed …
Published in Journal of Polymer & Composites · Vol. 12, Issue 3, 2024 · pp. 64–80 Read article
-
Development and Characterization of a Solid Dispersion of an Anti-Diabetic Drug Using Pectin as a Natural Polymer
Abstract: Aim: The current study sought to improve the solubility and oral bioavailability of gliclazide by creating solid dispersions and oral dispersible tablets (ODTs) with enhanced physicochemical characteristics and maintained antidiabetic action. Methods: Preformulation studies were conducted to evaluate the physicochemical properties of gliclazide, including physical appearance, melting point, solubility, and partition coefficient. Solid dispersions were prepared using hydrophilic carriers-pectin and PVP K30, and subsequently characterized by Fourier Transform Infrared Spectroscopy …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 17, Issue 2, 2026 Read article
-
Optimization of Sustainable Electrochemical Machining Parameters for Polymer based Materials Using AHP Integrated TOPSIS Method
Abstract: The current paper describes the use of the AHP-TOPSIS method to optimize process parameters in sustainable electrochemical machining of polymer composites. Combine lightweight polymer matrices with reinforcing particles or fibers such as TiB₂, SiC, or Al₂O₃, offering high strength-to-weight ratio, corrosion resistance, and design flexibility, making them ideal for aerospace and automotive applications. Non-conductive and heterogeneous nature poses challenges during electrochemical machining, as it affects current distribution and material removal …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1048–1059 Read article
-
Optimization of Liquid Metal Nanocomposites and Biogas Addition Rate Using ANN-GA
Abstract: In this study, the liquid metal nanocomposites were investigated using artificial neural network (ANN) prediction capabilities for Compression Ignition (CI) engine performance. The independent input variables selected were load (20-100%), Liquid-metal nanocomposites Doped Rate (NDR, 0-50 ppm), and Biogas Flow Rate (BFR, 0.5-1.0 kg/h). The Central Composite Face-Centered Design (CCFCD) was used in conjunction with the selected input variables and output parameters to assist in the preparation of the Design …
Published in Journal of Polymer & Composites · Vol. 11, Issue 11, 2023 · pp. 12–27 Read article
-
Numerical simulation and Artificial neural network illustration of phase-change material integrated into lattice structures printed in 3D
Abstract: This work examines the phase change material (P.C.M.) deposited in various lattice formations—such as “S.C., B.C.C., and F.C.C”.—at varied characteristics. The test concentrates on comprehending heat transport properties and thermal activity throughout the “melting and solidification processes”. The heater's maximum temperature, P.C.M. “melting and solidification”, and Nusselt number are among the essential factors examined. According to the findings, the heater's maximum temperature drops as porosity increases. Although the Nusselt values …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 175–183 Read article
-
Mechanical Properties, Viscoelastic and Water Absorption Properties of Biocarbon-Reinforced Composites
Abstract: Biocarbon-reinforced polymer composites have emerged as a sustainable alternative to conventional composites, combining environmental benefits with promising material properties. This study explores the effect of varying biocarbon content (0%, 10%, 20%, and 30% by weight) on the mechanical, viscoelastic, and water absorption properties of a polypropylene (PP) matrix. Tensile strength tests reveal that incorporating 10% biocarbon yields the highest strength at 35 MPa, attributed to enhanced interfacial bonding. However, at …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 145–157 Read article
-
Optimizing Vehicle Structures Using Functionally Graded Materials of Aluminum and Carbon Fiber Reinforced Polymer Composites
Abstract: This article investigates the optimization of vehicle structures through application of functionally graded materials (FGMs), specifically aluminium and carbon fibre reinforced polymer (CFRP) composites. Such materials, known as FGMs, are characterized by spatial variations in composition and structure designed to improve so-called performance attributes. For the purposes of this research, the material properties of aluminium and CFRP composites are taken to be randomly distributed in thickness direction of a FGM …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 478–489 Read article
-
Enhancing Credit Card Fraud Detection Using Device Fingerprinting and Behavioral Biometrics
Abstract: Credit card fraud is a growing global concern, with financial losses projected to reach $ 43.47 billion by 2028. Credit card fraud poses a major challenge in the financial industry, resulting in substantial financial losses and security risks. This research introduces a Machine Learning-based Credit Card Fraud Detection System designed to improve the accuracy of fraud identification. Due to the imbalanced nature of fraud datasets, SMOTE (Synthetic Minority Over-sampling Technique) …
Published in Journal Of Network security · Vol. 13, Issue 2, 2025 · pp. 40–50 Read article
-
Machine Learning Revolutionizing Server Management and Performance
Abstract: The modern data center is a complex and dynamic environment, grappling with ever-increasing workloads, stringent performance demands, and the constant pressure for cost optimization. As such, applying machine learning (ML) directly to the server infrastructure offers a powerful avenue for achieving advanced automation, resource optimization, and proactive problem resolution. This article explores the transformative potential of integrating machine learning into server systems, leveraging insights gleaned from the abstract and conclusion …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 36–44 Read article
-
Analyzing the Performance and the Emission Characteristics of Palladium Catalyst using different blends of Methanol Fuel and Nano Particles of Aluminium and Titanium Oxides
Abstract: The high cost and limited availability of precious metals prompted the automotive industry to explore alternative materials for improving catalytic converter performance. This research focuses on the development and optimization of catalytic converters designed to reduce exhaust emissions, ensuring compliance with market needs and regulatory standards. Specifically, it investigates the three-way catalytic converter in a four-stroke engine utilizing commonly available noble metals, particularly palladium as the catalyst. The best way …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1505–1517 Read article