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480 articles for “Dim mode”
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Response Study of High Rise Building under Wind Load
Abstract: Wind is a phenomenon of great complexity because of the many flow situations arising from the interaction of wind with structures. Wind is of the most significant forces of nature that must be considered in design of buildings. The characteristics of wind-induced loads on buildings continuously vary in temporal and spatial dimensions. Adequate design of buildings depends on the success in predicting the actual effects of turbulent wind forces to …
Published in Recent Trends in Civil Engineering & Technology · Vol. 8, Issue 3, 2018 · pp. 35–45 Read article
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Thermal Modelling and Simulation of Brushless D.C. Motor for Electromechanical Actuation
Abstract: A lumped-parameter thermal model is described which provides both a steady-state and transient solution to the temperatures within an electrical machine. The model is sufficiently complex to identify the temperatures at most locations in the machine, including the peak temperatures in the end winding and the surface temperatures of the rotor. It is formulated out of purely dimensional information and constant thermal coefficients and is therefore easily adapted to a …
Published in Journal of Aerospace Engineering & Technology · Vol. 3, Issue 1, 2013 · pp. 16–28 Read article
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Machine Learning Optimization for VARTM Carbon Polymer Laminates
Abstract: Vacuum-assisted resin transfer moulding (VARTM) is a key low-cost, out-of-autoclave process for manufacturing large-scale carbon-fibre reinforced polymer (CFRP) laminates crucial to aerospace wings, wind-turbine blades, marine hulls, and automotive structures. Unpredictable resin flow often leads to voids, dry spots, and race-tracking defects, resulting in 27.9% scrap rates and lengthy, costly trial-and-error design cycles. Although surrogate models provide rapid impregnation predictions for simple flat-plate geometries, vision-based monitoring is limited to idealized …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 229–245 Read article
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Design Conceptualization and Computational Analysis of Cryogenic Engine Nozzle-ABYOM
Abstract: The main purpose of this paper is to design a cryogenic engine nozzle with specified dimensions using CATIA V5 software and analyze the nozzle using ANSYS software. The realizable k-ε viscous model was used for calculation and the Hydrogen (H2) had retained as an ideal gas. The CFD simulations were done on the nozzle to find the pressure, density, velocity, and temperature. In the graph, there are 500 points streamlined …
Published in Journal of Materials & Metallurgical Engineering · Vol. 13, Issue 4, 2023 · pp. 14–23 Read article
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Design conceptualization and computational analysis of cryogenic engine nozzle -ABYOM
Abstract: The main purpose of this paper is to design a cryogenic engine nozzle with specified dimensions using CATIA V5 software and analyze the nozzle using ANSYS software. The realizable k-ε viscous model was used for calculation and the Hydrogen (H2) had retained as an ideal gas. The CFD simulations were done on the nozzle to find the pressure, density, velocity, and temperature. In the graph, there are 500 points streamlined …
Published in Journal of Materials & Metallurgical Engineering · Vol. 12, Issue 2, 2022 · pp. 14–23 Read article
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Numerical Simulation of Flow Field, Fountain Flow and Associated Noise in Supersonic Impinging Twin Jet using Large Eddy Simulation
Abstract: A three-dimensional flow field is produced by a supersonic twin-jet impingement. It is studied using the turbulence model Large Eddy Simulation (LES). The numerical model consists of two parallel jets of diameter 3D apart, which are issued from a plane which is at a distance H = 2D, 3D, 4D above the ground. The Nozzle Pressure Ratio (NPR) is kept at 3.7 for all the flow conditions. The study is …
Published in Journal of Aerospace Engineering & Technology · Vol. 4, Issue 3, 2014 · pp. 1–8 Read article
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Vortex-Induced Vibration of a Circular Cylinder at Low and Subcritical Reynolds Numbers-Part I: Low Reynolds Numbers
Abstract: The vortex-induced vibration of a circular cylinder at low and low subcritical Reynolds numbers is studied numerically over wide ranges of the influencing parameters. The cylinder dynamics is modeled using a spring-damper-mass system and the fluid dynamics is simulated using the two-dimensional approximation. An implicit, collocated moving grid finite volume algorithm implemented on an unstructured triangular mesh is adopted to solve the fluid dynamic equations. The numerical simulation confirms that …
Published in Journal of Aerospace Engineering & Technology · Vol. 5, Issue 2, 2015 · pp. 35–60 Read article
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Dielectric Breakdown and Electrical Aging of Insulating Polymer Materials in High Voltage Systems
Abstract: In this paper, a detailed analysis of dielectric breakdown and electrical aging behavior of high-voltage insulating polymer material has been proposed through sophisticated MATLAB simulation. The research involves electric field modeling, aging life prediction, partial discharge (PD) behavior and uncertainty modeling using Monte Carlo analysis. Electric field hotspots causing critical behavior, sensitivity of the lifespan to electric stress, and the stochastic PD build-up allow predictive diagnostics of the health of …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 173–187 Read article
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Evaluating the Influence of Catalyst and Temperature Effectiveness Factor on Reactor Performance for Direct Synthesis of Dimethyl Carbonate using Carbon Dioxide and Methanol
Abstract: In this research, the effectiveness of a packed bed reactor employing a nanorod ceria catalyst for the direct synthesis of dimethyl carbonate (DMC) from methanol and carbon dioxide (CO2) is assessed. In order to combat the growing CO2 levels, this study converted the greenhouse gas into dimethyl carbonate, a feedstock for green chemicals. In order to estimate the fractional conversion of methanol and DMC yield under different operating parameters, including …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 14, Issue 3, 2023 · pp. 37–48 Read article
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Modeling and Simulation to Monitor Dissolved Nitrogen Depositions in Eleme Streams, River State
Abstract: This paper monitor the dissolved nitrogen deposition in stream, the study observed high rate of nitrogen content in the stream, the result from physiochemical analysis shows the rate and variation of nitrogen concentration, this pollution content were monitored applying modeling and simulation, the predictive values were generated from different stations, the result shows decreasing rate of dissolved nitrogen from all the stations, the results expresses in every points of observation …
Published in Journal of Water Resource Engineering and Management · Vol. 7, Issue 2, 2020 · pp. 23–37 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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Aerodynamic Influences on Structures with Varied Plan Configurations
Abstract: The wind-induced effects on tall buildings demonstrate a level of unpredictability, attributed to the intricate influence of the building's plan shape on the distribution of wind loads. The oscillations experienced by tall structures, both longitudinally and laterally, are influenced by factors such as wind direction, building configuration, height, and structural characteristics. This investigation is centred around examining the impact of wind on tall buildings featuring diverse plan cross-sectional shapes. The …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 377–388 Read article
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Design and Simulation of Proximal Convoluted Tubule Flow Kinetics for Kidney-on-chip Applications
Abstract: The primary function of human kidney is purifying the impure blood in the body. In addition to this, kidney performs balance homeostasis, solute balance and blood pressure maintenance. Proximal convoluted tube (PCT) is a primary part in the nephron which plays a crucial role in the excretion, secretion and re-absorption of solutes and proteins. While performing all these functions, kidneys tends to get affected in several ways leading to failure …
Published in Journal of Operating Systems Development & Trends · Vol. 7, Issue 1, 2020 · pp. 14–21 Read article
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Next Gen Aerospace Engineering and Technology Research: A Short Note
Abstract: Recently, there has been a tremendous interest in aerospace science, engineering and technology. The opportunities are numerous in flight dynamics, from cell tracking to surveillance, security, autonomy and communication systems; aircraft structures, propulsion systems, wind tunnels, computational theoretical and experimental aerodynamics, electromagnetics, avionics and the whole range of activities with an opportunity for research in these and related areas. There appears to be a huge gap in the integration of …
Published in Journal of Aerospace Engineering & Technology · Vol. 5, Issue 3, 2015 · pp. 60–61 Read article
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Non-Newtonian Power-law Fluid Flows for Shear Thinning Viscosity in a T junction Channel
Abstract: In this paper, non-Newtonian fluid flow behaviors are analyzed in a two-dimensional T junction channel using Lattice-Boltzmann Method (LBM). The LBM has been built up on the D2Q9 model, and the single-relaxation-time (SRT) method called the Lattice-BGK (Bhatnagar-Gross-Krook) model. The flow patterns are analogous to blood flows in branched arteries for T junction flows. Firstly, the code validation has been occurred for the Newto-nian fluid flows by comparing the accessible …
Published in Journal of Aerospace Engineering & Technology · Vol. 12, Issue 1, 2022 · pp. 18–31 Read article
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Animal Species Prediction Using Deep Learning
Abstract: In the face of escalating biodiversity loss, effective monitoring of animal species is critical for conservation efforts. This study presents a deep learning approach for species detection and a multimodal feature identification technique for animals vulnerable to poaching. The suggested prediction system recognizes objects automatically by the application of deep learning techniques to detect objects and then recognize them by using computer vision techniques, and it is triggered when an …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 1, 2026 · pp. 14–22 Read article
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ML Model Comparison for Sentiment Analysis Across Diverse Datasets
Abstract: Analyzing sentiment is crucial for understanding public opinion on various issues in marketing, politics, and social sciences. This study compares the performance of seven different machine learning algorithms for sentiment classification, focusing on their effectiveness, accuracy, and complexity. The research is conducted on a pre-processed dataset with balanced text samples, utilizing feature extraction methods such as Term Frequency-Inverse Document Frequency (TF-IDF). The performance assessment criteria consist of accuracy, precision, recall, …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 2, 2025 · pp. 26–33 Read article
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Firm Specific Determinants of Profitability of SSE in Bahir Dar, Ethiopia
Abstract: Poverty and unemployment are critical issues that Ethiopia is struggling to combat through the injection of Small Scale Enterprises (SSE). There has been a growing awareness that SSEs are important for economic growth for both developing and developed countries. They are seen as the engines of employment, alleviating poverty and improving equality. SSE development was identified as a priority in creating jobs with the intention of addressing unemployment and poverty …
Published in Journal of Production Research & Management · Vol. 7, Issue 1, 2017 · pp. 26–35 Read article
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Machine Learning Pipelines: A Survey on Automation, Scalability, and Deployment Strategies
Abstract: Machine learning (ML) has become a critical enabler of intelligent applications across domains, requiring robust, efficient, and scalable deployment workflows. This review paper provides an in-depth overview of machine learning pipelines, emphasizing three key dimensions: automation, scalability, and deployment methodologies. It begins by exploring automation techniques that reduce manual effort in data ingestion, preprocessing, model selection, and hyperparameter tuning. Tools such as AutoML, TFX, and workflow orchestration platforms are examined …
Published in Journal of Advances in Shell Programming · Vol. 12, Issue 2, 2025 · pp. 17–28 Read article
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Nanostructure-Induced Thermoelectric Enhancement in Bi₂Te₃ Nanorods Design, Analysis, and Performance Evaluation
Abstract: Thermoelectric materials capable of efficient energy conversion near room temperature are critical for waste heat recovery applications. In this work, solution-grown Bi₂Te₃ nanorods were synthesized via a trioctylphosphine-assisted thermal decomposition route, and the influence of surfactant-induced nanostructuring on their thermoelectric properties was systematically investigated. Structural analysis using X-ray diffraction and Rietveld refinement confirmed the formation of rhombohedral Bi₂Te₃ with the emergence of Bi₂Te₃–BiTe nanocomposites at higher surfactant concentrations. Electron microscopy …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 34–44 Read article