Search
103 articles for “Linear materials”
-
Electronic Circuitry and Material Integration for Enhanced Gas Detection Windows
Abstract: Liquefied Petroleum Gas (LPG) and propane, being flammable mixtures of hydrocarbon gases, are widely used as fuel in various applications such as homes, hostels, and industries. Our main objective for this project is to design and fabricate a gas sensing window that will autonomously open upon detecting any leakage of gases like LPG, CO2, alcohol, propane, etc. The heart of our system is the MQ-9 gas sensor, known for its …
Published in Journal of Microelectronics and Solid State Devices · Vol. 11, Issue 3, 2024 · pp. 14–24 Read article
-
Intelligent Optimization of Drilling Parameters in Polymer Composites using Machine Learning and Metaheuristic Techniques
Abstract: The study tests different ways to use ML and metaheuristic algorithms to determine the best drilling parameters for polymer matrix composites. The research uses a composite matrix made from 55.25% vinyl ester, 44.0% Nickel–Phosphorous coated glass fiber and 0.75% Al₂O₃ nanowires which are tested for tensile strength (64.57 MPa), flexural strength (85.86 MPa) and impact strength (71.79 kJ/m²). By applying a Taguchi orthogonal array, it is observed that a slower …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1795–1810 Read article
-
Damage Evolution and Delamination Resistance in Polymer Matrix Functionally Graded Laminates
Abstract: Functionally graded laminates (FGLs) in polymer-matrix systems represent a promising pathway to enhance damage tolerance and delay delamination in advanced structural composites. In this study, we explore the mechanisms of damage initiation, propagation, and delamination resistance in polymer matrix functionally graded laminates (PM-FGLs) through a combined experimental–computational approach. Laminates with linear, exponential, and bio-inspired gradation profiles were fabricated using vacuum-assisted resin transfer molding (VARTM) and additive manufacturing techniques. Comprehensive mechanical …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 321–337 Read article
-
Numerical Prediction of Shear Modulus of Multi-Layer PUF Cored Sandwich Composites
Abstract: The present numerical investigation was mainly concerned with the evaluation of apparent shear modulus (Gc) of multi-layered polyurethane foam cored sandwich beams using a novel approach through the medium of general purpose program i.e. FEM/ANSYS. Aiming to the goal, three-point bending analysis was performed on sandwich beam models made up of composite face sheets and multi-layer polyurethane foam cores of different layer densities. Finite element models of sandwich beams were …
Published in Journal of Polymer & Composites · Vol. 5, Issue 3, 2017 · pp. 53–61 Read article
-
Winding Modification and Analysis of LVDT
Abstract: The LVDT (Linear Variable Differential Transformer) typically uses step-winding mode because it has an advantage such as simple construction and fewer layers of winding. The LVDT converts a location or linear movement from a reference standard (zero or null point) impulse with direction and distance information into a proportionate electrical field using the phase and amplitude components. To produce the output in full stroke, the core’s length must be more …
Published in International Journal of Solid State Innovations & Research · Vol. 2, Issue 2, 2024 · pp. 29–35 Read article
-
Evaluating the Best Belt Conveyor Assembly Using TOPSIS Approach
Abstract: This article presents a new approach for the selection of Belt Conveyor of screening creaser on the basis of their performance. This article includes the effective factors like angle of response, load capacity of motor, raw material load capacity, raw material dimension. These all important factors affect the performance of Belt Conveyor Assembly. Therefore, determination of the best Belt Conveyor is basically a Multi-Attribute Decision Making (MADM) problem. Our aim …
Published in Trends in Transport Engineering and Applications · Vol. 1, Issue 3, 2014 · pp. 1–6 Read article
-
Experimental Investigations of EDM Parameters on Machining Square Blind Holes in Maraging Steels
Abstract: Square blind holes have certain qualities that make them useful in fields where accuracy and efficiency are crucial, like aerospace, automotive, molding, and general manufacturing industries where structural integration is required in precise assembly. It is challenging to machine square blind holes with traditional machining due to geometrical complexity as precision is required for sharp corners which is difficult to get at the corners due to tool wear. Electrical discharge …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 390–397 Read article
-
Effect of Retraction of Anterior Teeth on Skeletal and Soft Tissue Parameters: A Cephalometric Study
Abstract: Aim and Objectives: The purpose of the present study was to evaluate the magnitude of alteration in the position of skeletal and soft tissue points A and B, points A (sA) and B (sB) with retraction of anterior teeth on lateral Cephalogram. Material And Method: Patients with a bimaxillary protrusion, treated with first premolar extractions followed by using a pre-adjusted appliance with maximum anchorage were included in the study. After …
Published in Research and Reviews: A Journal of Dentistry · Vol. 13, Issue 3, 2022 · pp. 35–41 Read article
-
Buckling of Column of Supporting Frame Structure : A Review
Abstract: Column is a vertical strut or structural member which is subjected to an axial compressive load used for supporting purpose. For column, materials like reinforced concrete and mild steel are widely used. Angle section, I-section, channel section, box section are the common type of sections used for column. A form of deformation or sudden sideway failure of column occurs due to high axial compressive force is termed as buckling. When …
Published in Trends in Mechanical Engineering & Technology · Vol. 8, Issue 1, 2018 · pp. 31–40 Read article
-
Improving Highway Surface Course Properties of Asphalt Concrete for Heavy Traffic Loading using Mineral Fillers
Abstract: Failure signs seen on both rigid and flexible pavement as distresses is most often instigated by mix properties of the surface due to many factors. Traffic loading, Stripping or raveling is another possible cause of such effects. Stripping occurs when poor adhesion between asphalt cement and aggregate allows the aggregate at the surface to dislodge. As a result, mineral fillers in hot-mix asphalt concrete to obtain certain desirable properties has …
Published in Recent Trends in Civil Engineering & Technology · Vol. 10, Issue 2, 2020 · pp. 12–22 Read article
-
Topology and Geometry in Data Science: Persistent Homology and Beyond
Abstract: In recent years, the interplay between topology, geometry, and data science has gained substantial momentum, offering powerful frameworks to analyze and interpret complex datasets. Traditional statistical and machine learning methods often rely on linear or metric- based assumptions, which may fail to capture the intrinsic structure of high-dimensional or nonlinear data. In contrast, topological and geometric methods provide shape-oriented, scale- invariant tools that focus on the continuity, connectivity, and global …
Published in Recent Trends in Mathematics · Vol. 1, Issue 2, 2024 · pp. 21–27 Read article
-
Data-Driven Energy Forecasting for Smart Homes: Ensemble Learning from IoT Meters and Relevance for Polymer-Composite Based Smart Infrastructure
Abstract: Reliable estimation of household electricity demand is relevant in creating efficiency in energy usage, optimization of the loads, and intelligent demand-side management in intelligent grid systems. This paper introduces a varied machine learning model that approaches residential electric consumption prediction using an assortment of ensemble regression boosts, including Linear Regression, Lasso Regression, Decision Tree Regressor, Random Forest, and Gradient Boosting, to predict residential electricity consumption environments on a time-series arrested …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 29–64 Read article
-
Dynamic Response Analysis of Isotropic and Orthotropic Rectangular Plates under Clamped-Free Conditions
Abstract: This study explores Theoretical and numerical tools of determining the free vibration properties of isotropic and fiber-reinforced composite rectangular plates. The effect of anisotropy of materials on the dynamic response of the plates is compared between the Aluminium plates and the glass-epoxy laminates. The model used in the study is a three-dimensional finite element model that is designed using a combination of SolidWorks and ANSYS workflow. Clamped-free boundary conditions are …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 258–274 Read article
-
A Review: Distortion Control in 20MnMoNi55 Material Using GTAW and SAW Process
Abstract: Gas tungsten arc welding (GTAW) is high quality and high precision welding process which is suitable for welding thin metals. Inert gases such as helium and argon, carbon dioxide, nitrogen etc. are used as shielding gases to prevent the weld bead from air, dust and other contaminations in welding. There are so many welding process parameters affecting the weld quality in GTAW. Important process parameters which mainly affect the weld …
Published in Journal of Mechatronics and Automation · Vol. 3, Issue 3, 2016 · pp. 34–38 Read article
-
Experimental Studies on the Use of Local Grinded Aggregate in Enhancing Stability, Reduction of Flow, Air-voids and Deformation of Modified Asphalt Concrete for Medium Collector Roads
Abstract: The adverse environmental impact of man-made and agricultural waste/by-products combined with the rising cost and difficulty in obtaining construction materials have influenced research into better ways to manage these wastes/by-products by incorporating them in asphalt concrete mix design. Different researches have shown that some agricultural waste/by-products can be included as mineral fillers in hot-mix asphalt concrete to obtain certain desirable properties. It is on this basis that this research attempts …
Published in Trends in Transport Engineering and Applications · Vol. 7, Issue 2, 2020 · pp. 1–11 Read article
-
Physics-Informed Machine Learning and Multiscale Modeling for Structure–Property Quantification of Polymer Composites
Abstract: The growing need for light-weight, high strength, and sustainable polymer composites has led to the development of smart methods that enable accurate structural-property quantification and material design. However, conventional methods have been predominantly data-based, thus ignoring physical constraints as well as multi-scale interactions involving fiber, matrix, interface, and process parameters, leading to lower accuracy and poor robustness and interpretability of the models. In this study, a Cat Swarm Optimization-Tuned Physics-Informed …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
-
DEM Simulation of Macro and Micro-scale Behavior of Granular Materials during Loading and Unloading
Abstract: The present paper aims at comparing the simulated stress-strain behavior of granular materials quantitatively with the experiment and exploring the evolution of the micro-scale behaviors during loading and unloading using the discrete element method (DEM). A numerical sample consisting of 9826 randomly generated spheres similar to the experiment was prepared. The numerically prepared isotropic sample was subjected to loading and unloading under strain controlled condition. It is noticed that the …
Published in Journal of Geotechnical Engineering Read article
-
DEM Simulation of Macro and Micro-Scale Behavior of Granular Materials during Loading and Unloading
Abstract: The present paper aims at comparing the simulated stress-strain behavior of granular materials quantitatively with the experiment and exploring the evolution of the micro-scale behaviors during loading and unloading using the discrete element method (DEM). A numerical sample consisting of 9826 randomly generated spheres similar to the experiment was prepared. The numerically prepared isotropic sample was subjected to loading and unloading under strain controlled condition. It is noticed that the …
Published in Journal of Geotechnical Engineering · Vol. 9, Issue 1, 2022 · pp. 26–38 Read article
-
Predicting Dielectric Constants of Polymers Using Molecular Structural Descriptors and Explainable Machine Learning: A Data-Driven Approach
Abstract: Accurate prediction of dielectric constants in polymeric materials is fundamental to the rational design of advanced electronic components, energy storage capacitors, flexible substrates, and high-frequency communication circuits. Conventional approaches to identifying suitable polymer dielectrics rely on extensive experimental synthesis and characterisation, which are both time-consuming and resource-intensive. In this work, an explainable machine learning framework is developed to predict the dielectric constant of polymers directly from molecular structural descriptors derived …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 297–304 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