Search
1224 articles for “GRA”
-
Fracture Analysis of Functionally Graded Material (FGM) Plates Using Extended Finite Element Method: A Review.
Abstract: Functionally Graded Materials (FGMs), have drawn a lot of interest in various engineering applications due to their superior mechanical properties and ability to withstand extreme conditions. Fracture analysis in FGMs focuses on understanding how cracks initiate and propagate within these complex materials. The stress distribution becomes irregular due to spatial property variations which produces different crack paths than what occurs in homogeneous materials. The examination of FGM plates under fracture …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 4, Issue 1, 2026 · pp. 9–15 Read article
-
Evaluation of Tectona Grandis Leaf Extract As A Green Corrosion Inhibitor for Aluminium in 1M NaOH
Abstract: A kind of tropical hardwood tree called the Tectona grandis tree that is indigenous to India. The name "teak tree" is another common name for this kind of tree. It is a member of the plant family that is referred to as Lamiaceae. The primary purpose of this research is to investigate whether or not the plant extract has a corrosion-inhibiting quality. In this study, an aqueous extract of Tectona …
Published in Journal of Polymer & Composites · Vol. 2, Issue 2, 2023 · pp. 41–50 Read article
-
FRW Universe in R2 Gravity
Abstract: We investigate a model of the Friedmann Robertson Walker metric (FRW) universe governed by hybrid expansion law (HEL) a = tα eβt in R2 gravity. By Applying, energy and stability conditions in derived model, we check its physical viability. This model is based on f (R, T) = f (R) + f (T); f (R) = R + αR2 and f (T) = T and we have assumed T = …
Published in Journal of Polymer & Composites · Vol. 11, Issue 7, 2023 · pp. 75–80 Read article
-
Composite Solutions for Sustainable Mobility: Aluminum Alloy, Carbon Fiber, and Graphene in Chassis Frame Design
Abstract: This study describes the design and analysis of a chassis frame made of carbon fibre, graphene, and aluminium alloy composite materials. A frame must be able to sustain vibration, shocks, and bending and torsional pressures. This piece of work uses a rectangular cross-sectional area to design a frame. After that, the simulated chassis is taken for investigation using composite materials such as aluminium alloy and carbon fibre reinforced with graphene. …
Published in International Journal of Solid State Innovations & Research · Vol. 1, Issue 2, 2023 · pp. 1–7 Read article
-
Vibration Analysis of Functionally Graded Piezoelectric Actuators: A Comprehensive Review
Abstract: Recent research has been concentrated on a thorough investigation of the vibration evaluation of functionally graded piezoelectric materials (FGPM), shedding light on the potential for enhancing structural optimization and controlling deflections and vibrations. Functionally graded piezoelectric material is a type of advanced composite material possessing diverse characteristics that allow for customized mechanical and electrical responses. The existing body of academic work extensively addresses the vibration analysis of functionally graded piezoelectric …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 426–440 Read article
-
Evaluating the Optimal Alccofine-1203 Replacement Ratio in M20 Grade Concrete
Abstract: The primary objective of this research is to investigate the potential of partially replacing cement with Alccofine 1203 in M20 grade control concrete and to evaluate the resulting effects on the mechanical properties of the concrete. Alccofine 1203, a high-performance mineral admixture known for its ultrafine particle size and high reactivity, was used as a partial cement substitute at varying replacement levels of 5%, 10%, and 15% by weight of …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 294–299 Read article
-
Low-Grade Heat Recovery: Emerging Materials and Systems for Efficient Utilization
Abstract: Low-grade heat (LGH), generally characterized by temperatures below 200°C, constitutes a significant portion of wasted thermal energy in industrial, commercial, and even residential processes. Despite its vast availability, the efficient recovery and utilization of LGH remains underdeveloped due to its inherently low exergy content and the limitations of traditional heat recovery technologies. The creation of cutting-edge materials and creative system-level approaches for LGH recovery has accelerated significantly as companies continue …
Published in International Journal of Energy and Thermal Applications · Vol. 3, Issue 1, 2025 · pp. 24–29 Read article
-
Development and Evaluation of Mechanical Properties of Bio-Degradable Grass Fiber Composite Reinforced with Shrimp Shell Powder for Sustainable Applications
Abstract: Shrimp, a significant area of the seafood industry in terms of production, is exceeded by only prawn and salmon in terms of volume; its global annual production exceeds 4.4 million tons. India is a sea of shrimp production: the country recorded a record high production of 9 lakh tonnes (900,000 metric tonnes) of cultured shrimp in 2021. Andhra Pradesh was the major contributor to cultured shrimp culture, amounting to around …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 720–731 Read article
-
Gradient Boosted Regression Tree Approach to Predicting Toxic Interactions on X and YouTube
Abstract: In the digital age, social media platforms play a vital role in facilitating user engagement, encompassing both positive interactions and avenues for negative, often harmful behaviors. Recognizing and addressing toxic exchanges is paramount to nurturing healthy online communities and preserving users’ well-being. This study introduces a novel method for identifying toxic interactions by utilizing Gradient Boosting Regression Trees (GBRT) algorithm, a machine learning approach renowned for its exceptional accuracy and …
Published in Trends in Opto-electro & Optical Communication · Vol. 15, Issue 3, 2025 · pp. 7–14 Read article
-
Nano Shield-EV: Graphene and CNT-Infused Polymer Composites for Advanced EMI Shielding in Electric Vehicles
Abstract: The rapid growth of electric vehicles (EVs) has intensified the need for lightweight, thermally stable, and mechanically robust electromagnetic interference (EMI) shielding materials to ensure the reliable performance of advanced electronic systems. Traditional metallic shields, though highly effective, increase vehicle weight and restrict design flexibility, thereby motivating the search for multifunctional polymer-based alternatives. In this study, NanoShield-EV introduces novel polymer nanocomposites fabricated via melt blending and compression molding, combining engineering-grade …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1036–1047 Read article
-
Host Plant Affinity and Trophic Behavior of Lohita grandis name of author (Hemiptera: Largidae)
Abstract: Lohita grandis (Gray) , commonly known as the red cotton bug, is an emerging pest of cotton and several other economically important crops in India. Its sap-sucking feeding habit causes discoloration of fruits, reduction in seed quality, and yield losses, posing serious challenges to sustainable agriculture. The present study investigates the feeding behaviour and host plant preferences of L. grandis across diverse agroclimatic zones of India, with the aim of …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 1, 2026 · pp. 92–100 Read article
-
A Review on Evolution of Aircraft Fuselage Materials: From Wood to Composites & Functionally Graded Materials
Abstract: This article presents a comprehensive overview of the evolution of materials for construction of aircraft fuselages, with a focus on the expanding use of polymer composites and functionally graded materials (FGMs) in modern aerostructures. The baseline fuselage design is thought to be from wood, to be followed by metallic systems such as aluminum, titanium, and nickel alloys. All systems improved manufacturability, strength, and longevity, but there was a substantial revolution …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 447–455 Read article
-
Iron Ore Beneficiation through Reverse Flotation: Advances in Nanobubble-Assisted Flotation Technology for Lean Grade Ore Upgradation and Silica Removal: A Review
Abstract: The global demand for high-grade iron ore concentrates continues to surge as readily available rich ores become depleted. Iron ore beneficiation through froth flotation has emerged as a critical technology for upgrading lean-grade iron ores (typically 25–35% Fe) to produce high-quality concentrates (64–70% Fe) suitable for direct reduction and blast furnace operations. This comprehensive review examines the fundamental principles of flotation in iron ore beneficiation, with particular emphasis on the …
Published in International Journal of Minerals · Vol. 3, Issue 1, 2026 · pp. 1–30 Read article
-
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
-
A Physics-Informed Graph Neural Network Framework for Real- Time Thermal-Aware Fault Prediction and Adaptive Power Optimization in Heterogeneous System-on-Chip Architectures
Abstract: Heterogeneous System-on-Chip (SoC) architectures are increasingly adopted in edge computing, artificial intelligence, autonomous systems, and high-performance embedded platforms due to their superior computational efficiency and flexibility. However, increasing integration density and workload diversity introduce severe thermal hotspots, accelerated device degradation, and unexpected hardware faults that adversely affect system reliability and energy efficiency. This study proposes a Physics-Informed Graph Neural Network (PI-GNN) framework for real-time thermal- aware fault prediction and adaptive …
Published in Journal of VLSI Design Tools and Technology · Vol. 16, Issue 2, 2026 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
-
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
-
A Novel Approach to Fingerprint Authentication Using Histogram Oriented Gradients for Feature Extraction and Machine Learning Convolution Neural Network for Classification
Abstract: With applied biometrics, it is possible to identify a person by examining a feature vector of attributes derived from their physical and behaviour characteristics. In biometrics, fingerprints have become one of the most famous and well known techniques of identification and authentication. In light of technological advancements and safety, fingerprint recognition has been successfully used in a variety of Civil, Defence, and Commercial applications for more than a decade. The …
Published in International Journal of Wireless Security and Networks · Vol. 1, Issue 2, 2023 · pp. 1–12 Read article
-
Tropospheric Variation of Point Refractivity Gradient and Geo-climatic Factor over a Coastal Location in Tropical Nigeria
Abstract: Accurate assessment of refractivity gradient and Geo-climatic factor is crucial for maintaining reliable radio signal propagation in clear-air environments. These parameters are essential for determining the fade margin necessary to ensure a stable and effective wireless radio link, given the unstable nature of the atmosphere through which the signals travel. It is crucial to have accurate knowledge of these characteristics, particularly at microwave antenna heights of around 70 meters, in …
Published in Journal of Remote Sensing & GIS · Vol. 15, Issue 2, 2024 · pp. 28–42 Read article
-
Tribological Study on SiC+Graphene Reinforced Al319 Composite andOptimization of Stir Casting Parameters
Abstract: The aluminium 319 (Al319) is a commonly used material for fabricating automobile components. Due to continuous friction and vibration, those components are subjected to significant wear. Therefore, it is necessary to improve the wear characteristics of this Al319. Hence, in this study Silicon Carbide (SiC) and Graphene nanoparticles (GNPs) are reinforce to Al319 via electro-magnetic stir casting method to optimize wear characteristics without its affecting mechanical properties. Various proposition of …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 105–123 Read article