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348 articles for “Experimental Optimization”
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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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An Approach on Optimization of Thermo Physical Properties of Teak Wood Dust Filled Polymeric Composites
Abstract: The aim of the present work was to prepare the specimens with the help of hand-lay-up technique to measure the thermal properties of TWDPC. The density & voids of TWDPC were measured to determine its physical property & significantly affected some of its mechanical properties. Taguchi experimental method was applied to optimize its thermal properties. The optimal factor combinations were determined with the help of ANOM & the analysis of …
Published in Journal of Polymer & Composites Read article
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AI-Designed Functionally Graded Polymer Composites for Multifunctional Thin Films
Abstract: The design of multifunctional polymer composite thin films requires simultaneous optimization of mechanical, optical, barrier, and thermal properties—objectives often in conflict when using conventional homogeneous materials. This study presents an artificial intelligence-driven framework for designing functionally graded material (FGM) architectures in polymer nanocomposite thin films. We integrated machine learning with physics-based modeling to optimize compositional gradients across film thickness, achieving superior performance compared to homogeneous and discrete multilayer alternatives. A …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1026–1041 Read article
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An Experimental Investigation on Surface Roughness of Laser Beam Machining of Aluminium Alloy
Abstract: Laser beam machining (LBM) is a cutting-edge technique widely utilized for precision machining of advanced materials. This experimental investigation focuses on the surface roughness of aluminum alloy (Al 6061) during LBM. The study systematically examines the impact of process parameters such as laser power, cutting speed, and gas pressure on surface roughness (Ra). The significance of surface roughness in determining the quality and functionality of machined components is emphasized. The …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 82–104 Read article
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An Empirical Study of Hyperparameter Impact on Deep Learning Models for Cardamom Leaf Disease Classification
Abstract: Recent advancements in deep learning models like convolutional neural networks and self- attention mechanisms have achieved great success in the field of plant disease classification. This study investigates the efficacy of two pre-trained models, ConvNeXT-Tiny and Swin Transformer-Tiny, for leaf disease classification in cardamom using a publicly available dataset constituting three categories of leaves, namely Healthy, Colletotrichum Blight and Phyllosticta Leaf Spot. The effectiveness of the models highly depends on …
Published in Current Trends in Information Technology · Vol. 15, Issue 3, 2025 · pp. 48–60 Read article
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Explainable Machine Learning for Process Parameter Optimization in Gradient 3D-Printed Polymer Composites
Abstract: The explainable machine learning-based structure may be employed to achieve a favorable process parameter of the graduate 3D-printed polymer composite structures to improve the mechanical and thermal properties without compromising the transparency of the decisions made during the fabrication process. Gradient composite specimens were made by systematically varied process parameters like nozzle temperature, raster orientation, deposition speed, gradient transition rate and fused filament fabrication. A predictive model of tensile strength …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 847–866 Read article
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Optimizing Fin Parameters to Enhance Passive Heat Dissipation in Photovoltaic Panels
Abstract: This study explores passive cooling techniques to enhance the thermal management of photovoltaic (PV) modules, which is crucial for maintaining efficiency. A computational fluid dynamics (CFD) model, using ANSYS Fluent, was developed to evaluate three fin shapes: rectangular, trapezoidal, and triangular, attached to the back of PV modules. The study varied parameters such as fin count, thickness, and length to determine optimal configurations for cooling. Among the designs, triangular fins …
Published in International Journal of Radio Frequency Innovations · Vol. 2, Issue 2, 2024 · pp. 25–35 Read article
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Utilization of Recron Fibers for Improving Subgrade Stability of Expansive Soils
Abstract: The major interest in the utilization of synthetic fibers is used as reinforcing material for developing reinforcing effect into the entire soil composition laid bellow the structures whare as construction works are going on. Various articles are published on soil reinforcement, yet some of them fibers used are prepared by using with synthetic materials, one type of synthetic fibers were Recron fiber it is used as a reinforcing element to …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 170–178 Read article
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Study on Partial Replacement of Cement with Pinus Fiber and Nano Silica in M30 Concrete Paver Blocks: A Fiber-Reinforced Polymer-Cement Composite Approach
Abstract: This study investigates the partial replacement of cement in M30 grade concrete paver blocks using nano silica and Pinus fiber, with a primary focus on mechanical performance, sustainability, and long-term durability and promoting sustainability. Portland cement, a major contributor to global CO₂ emissions, can be partially substituted using supplementary materials to create eco-efficient construction solutions. Nano silica, due to its high pozzolanic reactivity and ultrafine size, improves the microstructure and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 63–76 Read article
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A SEIR-Informed Stacked Fusion of Prophet, XGBoost, and LSTM for Ward-Level Epidemic Forecasting in Amravati Municipal Corporation
Abstract: Municipal epidemic preparedness depends on accurate short-horizon forecasts at fine spatial granularity. Ward-level incidence series are typically nonstationary due to changing contact patterns, interventions, reporting delays, and heterogeneous demographic and environmental factors. This paper presents a mathematically formulated hybrid forecasting architecture designed for Amravati Municipal Corporation (AMC). The method decomposes observed incidence into (i) a mechanistic SEIR baseline that enforces epidemiological structure and (ii) a data-driven residual learned using Prophet …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 13, Issue 1, 2026 · pp. 17–23 Read article
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Mechanical and Functional Performance of PET–Kenaf Fiber Hybrid Composites for Domestic Household Applications
Abstract: This research presents a hybrid composite of recycled polyethylene terephthalate (PET) and Kenaf fibers for sustainable household applications. Polyethylene terephthalate from consumer bottles was reinforced with Kenaf fibers at volume fractions of 10–30% and composites were created through compression molding. Mechanical characterization involved tensile, flexural, impact, and hardness testing where appropriate and was standardized according to ASTM standards, while their interfacial interactions were characterized by imaging through SEM. Linear and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1482–1498 Read article
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Parametric optimization of COF of fabricated AA6082/Si3N4/C/Al2O3 composite
Abstract: In the present experimental investigation AA6082/Si3N4/C/Al2O3 composite was successfully fabri-cated using stir casting technique combined with electromagnetic stirrer for wear resistance applica-tions. The produced AA6082/Si3N4/C/Al2O3 composite exhibits improved tribological and me-chanical and properties, according to the experimental results. The generated composite has a micro-hardness range of 60 to 110 HV and an average UTS of 150 to 200 MPa. The tribological perfor-mance was evaluated using a pin on disc tribometer. …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 144–152 Read article
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Optimization of FDM 3D Printer Process Parameters For PETG Material Using TOPSIS Technique
Abstract: 3D printing is a quickly evolving process that builds the desired shape by layering on material. In the era of modern production, additive manufacturing has grown in significance due to its user-friendliness. By using this technique, one can produce complex & intricate geometries with much ease when compared to conventional manufacturing. With the increased demand for 3D printing, consideration towards strength quality and other mechanical properties is also increasing progressively. …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 601–609 Read article
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Integration of Vertical Axis Wind Turbines into Urban Environments: Feasibility and Design Considerations
Abstract: Abstract This study aims to comprehensively investigate the performance of Savonius rotor wind turbines through a combination of numerical simulations and experimental testing. Initially, 3-dimensional CAD software Solidworks and ANSYS will be utilized to design detailed models of the turbines. Numerical meshes will then be generated around these models using FLUENT software, incorporating the k-ε turbulence model to simulate fluid flow fields. Parameters such as drag coefficient, lift coefficient, pressure …
Published in Journal of Aerospace Engineering & Technology · Vol. 14, Issue 2, 2024 · pp. 20–25 Read article
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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
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Hybrid Quantum-Classical Reinforcement Learning Enabled Thermal-Aware Electronic Design Automation Framework for Energy-Efficient Next-Generation VLSI Systems Applications
Abstract: Modern Very Large-Scale Integration (VLSI) systems are becoming more complicated, which has increased need for sophisticated Electronic Design Automation (EDA) frameworks that can concurrently optimise thermal behaviour, power consumption, and performance. This study proposes a Hybrid Quantum-Classical Reinforcement Learning (HQCRL) Enabled Thermal-Aware EDA Framework for next-generation energy- efficient VLSI systems. The proposed framework integrates quantum-inspired optimization techniques with classical reinforcement learning algorithms to address the challenges of placement, routing, and …
Published in Journal of Electronic Design Technology · Vol. 17, Issue 2, 2026 Read article
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Mathematical Modeling of Tumor Growth and Immune System Interaction Incorporating Time Delays and Suppression Effects for Tumor Control
Abstract: Cancer growth is a complex biological process influenced by various factors, including the dynamic interaction between tumor cells and the host immune system. Mathematical modeling serves as a powerful tool to understand these interactions and predict the outcomes of different therapeutic strategies. This study presents a mathematical framework that captures the essential dynamics of tumor-immune interactions, specifically incorporating the effects of time delay and immune suppression mechanisms. Time delay accounts …
Published in Research and Reviews : A Journal of Immunology · Vol. 15, Issue 3, 2025 · pp. 25–34 Read article
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Design and Optimization of Radial Turbines for Waste Heat Recovery Applications
Abstract: Waste heat recovery (WHR) offers a compelling way to improve sustainability and energy efficiency in several different industrial sectors. In waste heat recovery (WHR) systems, radial turbines are essential because they capture waste heat and transform it into useful mechanical or electrical energy. A thorough summary of the design and optimization concepts guiding radial turbines for WHR applications is given in this review article. After outlining the basic concepts of …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 1, Issue 2, 2023 · pp. 52–58 Read article
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AI-Driven Multi-Objective Optimization of Conductive Polymer Composites for High-Performance Flexible Electronics
Abstract: The development of conductive polymer composites (CPCs) is critical for advancing flexible and wearable electronic technologies. However, the conventional trial-and-error approach to material formulation is time-consuming and often inefficient due to the high-dimensional nature of the design space. This study introduces a novel AI-driven framework that integrates machine learning (ML) with multi-objective optimization to accelerate the discovery of high-performance CPCs. A dataset of 1,000 experimentally reported formulations was compiled, capturing …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 734–745 Read article
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Impact of Layer Height and Infill Line Orientation On 3D Printed Components Produced Via Additive Manufacturing
Abstract: Additive Manufacturing (AM) is an extrusion-based technique used to create objects by extruding semi-molten material through a nozzle of specific dimensions. Materials like acrylonitrile butadiene styrene (ABS), polylactic acid (PLA), polycarbonate (PC), and others are commonly employed in this process to manufacture industrial components. The mechanical properties of engineering component are critical for various industrial applications. This study investigates the impact of additive manufacturing on fabrication, considering different process parameters. …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 315–323 Read article