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260 articles for “Model Selection”
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Numerical Simulation of Air Flow Field of A Gas Turbine Engine Air blast Atomizer
Abstract: One of the most crucial process that occurs before the fuel is burned in the combustion chamber is atomization. The performance of a engine will be depend mainly on the fuel mixture. Performance of the engine depends on atomization process because it breaks the bulk fuel into small droplets and injects it into the combustion chamber, in order to make this happen consequently the dimensions of most of the fuel …
Published in Journal of Polymer & Composites · Vol. 11, Issue 13, 2023 · pp. 169–180 Read article
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Green Human Resource Management: Trends in Sustainable and Agile Human Resources Research in SMEs
Abstract: Small and medium-sized enterprises (SMEs) collectively have a significant environmental impact, despite each individual SME having a relatively small footprint. To mitigate this impact, the implementation of green human resource management practices is crucial for effective workforce management within SMEs. However, SMEs face challenges in executing these strategies and ensuring long-term business continuity. This study aims to establish a theoretical framework for a business model that can assist SMEs in …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 1, Issue 2, 2023 · pp. 9–33 Read article
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Investigating the Combined Effect of FDM 3D Printing Parameters on Tensile Behavior of ABS Plastic Using Taguchi Method.
Abstract: Fused Deposition Modelling (FDM) is a commonly utilized method in additive manufacturing. FDM is greatly affected by its printing parameters, which is why selecting the proper parameters is crucial for obtaining the desired properties of 3D printed parts. In this paper we have experimentally and statistically studied the influence of FDM 3D printing parameters (infill pattern, infill density and layer thickness) on tensile strength using Acrylonitrile Butadiene Styrene (ABS) filament. …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 161–169 Read article
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Self-Starting Diesel Generator
Abstract: Power outages can happen to anyone, and they are a lot more frequent than the major outages that make the evening news on TV. Being prepared for a blackout goes beyond beans, batteries and bullets. Having a source of alternative energy to power your devices, both small and medium, can make all the difference. Larger devices can be powered, but you would need some serious generators to make sure you …
Published in International Journal of Electrical Power and Machine Systems · Vol. 3, Issue 1, 2025 · pp. 17–21 Read article
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Downshifting Strategy Using Gear Skipping During Normal Braking in Electric Vehicles Equipped with AMT
Abstract: In this paper, the regenerative braking method using optimal downshifting is investigated to increase the recovering energy during normal braking in an electric vehicle equipped with Automatic Manual Transmission (AMT). First, the modeling of the electric vehicle powertrain and consideration of brake force distribution was carried out. Based on these, the method to select general downshifting points was mentioned in the electric vehicle. Second, the effect of power interruption on …
Published in Journal of Automobile Engineering and Applications · Vol. 12, Issue 2, 2025 · pp. 8–19 Read article
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Modelling and Analysis of Morphing Wing Structure for Variable Camber
Abstract: This study explores the modelling and analysis of a morphing wing with variable camber configurations to observe its aerodynamic characteristics compared to conventional form. The morphing wing is the concept where the shape of the wing is altered mid-flight based on different phases of flight to improve its aerodynamic characteristics. Morphing wing structure designs such as the corrugated and FISHBAC designs were considered for this analysis. The NACA 2412 airfoil …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 209–224 Read article
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Design, Analysis, and Testing of a Carbon Fibre-based Solid Rocket Motors
Abstract: The goal of the research is to simulate the outer shell of a rocket in order to fulfil mission criteria. Case failures can occur for a number of causes, including poor material selection, carelessness in the service conditions, inadequate non-destructive testing during crucial stages of production, and poor design and analysis. For this reason, it is crucial to simulate rockets with precise design and analysis. The study entails the designing …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 650–669 Read article
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An Evaluation of Versatile CNC Machines for Tabletop Applications
Abstract: The tabletop CNC provides a comprehensive analysis of computer numerical control (CNC) machines tailored for tabletop use. In today's rapidly evolving manufacturing landscape, compact and adaptable CNC systems have gained prominence due to their potential to revolutionize small-scale production and prototyping. This research examines a range of versatile CNC machines, assessing their capabilities, precision, ease of use, and suitability for various tabletop applications. By exploring key factors such as size, …
Published in Journal of Polymer & Composites · Vol. 11, Issue 8, 2023 · pp. 88–104 Read article
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Influence of SlS Parameters on Strength and Fatigue Durability of Polyamide-12
Abstract: Selective Laser Sintering (SLS), a laser-based polymer powder bed fusion process, has gained prominence in the fabrication of high-performance thermoplastics such as Polyamide-12 (PA12). This paper provides an extensive review of how key SLS process parameters—such as laser power, scan speed, hatch spacing, and energy density—affect the mechanical properties of PA12 components, with a specific focus on tensile strength and fatigue resistance. Studies demonstrate that increasing energy input enhances particle …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 178–191 Read article
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Multiphysics Optimization of Polymer–Metal Hybrid Electrode Geometry in Electrostatic Precipitators for Enhanced Particle Collection Efficiency
Abstract: Electrostatic precipitators (ESPs) remain one of the most effective technologies for controlling fine particulate emissions in industrial exhaust systems. However, their performance is strongly influenced by electrode geometry and material characteristics, which govern electric field distribution, corona stability, and particle migration behaviour. In this study, a comprehensive numerical investigation is carried out to optimize electrode geometry using a multiphysics modelling framework, while introducing a novel polymer–metal hybrid design to enhance …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 701–716 Read article
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Designing and Modeling of Giant Magnetoresistance (GMR) Materials based Devices in Electrical Power and Biomedical Systems
Abstract: This paper presents Designing and Modeling of Giant Magnetoresistance (GMR) Devices in Electrical Power and Biomedical Systems and the related materials. The GMR, inverse GMR, and Spin valve using exchange bias have been analytically derived and discussed from the designing point of view for optimizing the performance of the GMR based Devices in Electrical systems. More recently, GMR has been used in sensors, magnetic memory chips, and hard-disk read-heads. The …
Published in Research & Reviews : Journal of Physics · Vol. 14, Issue 1, 2025 · pp. 22–32 Read article
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Using Machine Learning for Key phrase Extraction in Digital Libraries
Abstract: Machine learning has revolutionized various aspects of information retrieval, including key phrase extraction in digital libraries. Key phrase extraction is crucial for summarizing and categorizing vast amounts of textual data, enabling efficient search and retrieval processes. This study explores the application of machine learning techniques for automatic key phrase extraction in digital libraries. We review various supervised and unsupervised learning algorithms, including deep learning models, that are employed to identify …
Published in International Journal of Cheminformatics · Vol. 1, Issue 2, 2023 · pp. 8–13 Read article
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Aerodynamic Optimization of UAV Wings Using Machine Learning
Abstract: Unmanned Aerial Vehicles (UAVs) are increasingly deployed across defense, transportation, agriculture, and environmental monitoring, demanding improved aerodynamic efficiency to enhance endurance, stability, and payload capacity. Traditional aerodynamic optimization approaches, relying on computational fluid dynamics (CFD) simulations and wind tunnel experiments, are often time-consuming and computationally expensive. This study proposes a machine learning (ML)-driven framework for the aerodynamic optimization of UAV wing geometries, aiming to significantly reduce design cycles while improving …
Published in International Journal on Drones · Vol. 2, Issue 1, 2026 · pp. 1–7 Read article
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Methodology for Evaluating Code Synthesis in Large Language Models: ChatGPT and Copilot: A Review
Abstract: The authors introduce a comprehensive framework to assess the code-generation capabilities of large language models, focusing on ChatGPT and Copilot through a benchmark suite of 25 program synthesis tasks. Their main goal was to show why making proper comparisons is important, they did not focus on choosing the newest models, since they keep changing frequently. The critique examines how the methodology addresses both functional and non-functional aspects of code. In …
Published in Recent Trends in Programming languages · Vol. 12, Issue 3, 2025 · pp. 01–07 Read article
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Development of a Sustainable Mini Powerhouse for a Micro Steam Power Plant
Abstract: This study outlines the steps taken to sustain and relocate a mini powerhouse for a 5 kW steam power plant, addressing previous structural and environmental inefficiencies. Due to corrosion, instability, and inadequate thermal management at the original site, a new location was selected and reinforced to meet these challenges. Key changes included site preparation involving granites and other structural support materials, enhanced thermal insulation, and improved ventilation systems. Performance evaluations …
Published in Trends in Machine design · Vol. 12, Issue 1, 2025 · pp. 20–29 Read article
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Examining Job Satisfaction and its Effect on Employee Productivity of a Textile Industrial Unit
Abstract: Productivity, especially the productivity of human resources, which is one of the necessities of the growth and development of every society and organization; It is not achieved by simply increasing salaries and benefits and amenities. Rather, making people productive depends on creating satisfaction and increasing job satisfaction. The current research is a descriptive-correlation method; The purpose of the research is to investigate the relationship between job satisfaction (Powell-e Specter model) …
Published in International Journal of Behavioral Sciences · Vol. 1, Issue 1, 2024 · pp. 26–38 Read article
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Health Risk and Evaluation of Atmospheric Pollutants in Owerri Metropolis and Sub-Urban Areas of Imo State, Nigeria Using Chemometric Models
Abstract: Concern about health risk from atmospheric pollutants; Particulate Matter (PM10), Sulphur dioxide (SO2), Nitrogen dioxide (NO2) and Carbon Monoxide (CO) prompted atmospheric monitoring and inhalation health risk assessment for residents of Owerri Metropolis and its Sub-urban areas. Field measurements were carried out in 35 select locations within Imo State. Monitoring was carried out using Chemometric methods as Matrix Laboratory (MATLAB) and Artificial Neural Network (ANN). According to the experiment results, …
Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 1, 2024 · pp. 47–79 Read article
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An Innovative Approach to Find the Optimum Lubricant for Diverse Applications Based on Scikit-Learn Library Using Python
Abstract: This paper presents an innovative approach for finding the optimum lubricant using the Scikit-learn library in Python. The proposed approach uses a linear regression model to analyze a dataset of lubricant properties and performance, specifically the viscosity, wear, and friction. The model is trained on the dataset to predict the wear and friction for a given viscosity, which can be used to identify the optimum lubricant. By analyzing a dataset …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 25–35 Read article
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Simulation and Experimental Analysis of Heat Treatment for Steel Tie Rods: A Review
Abstract: The study is related to the actual heat treatment and simulation of the physical deformation of the steel tie rod and compares the observations for process optimization. The general methodology is to go for either traditional or induction hardening after getting the chemical composition of the material, followed by tempering, which is a key technique for improving the mechanical properties of materials, strength, hardness, etc., and to release stresses. This …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 3, Issue 1, 2025 · pp. 43–51 Read article
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Review on Comparative Analysis of Lateral Load Response of UG+G+7 Building Using Shear Wall, Bracing and Moment Resisting Frame Systems
Abstract: This review paper provides a relative analysis of lateral load-resisting systems in multi-storey buildings, specifically focusing on high-rise structural configuration. The study synthesizes findings from research Papers to evaluate the performance of shear wall systems, bracing systems, and moment-resisting frame systems under seismic and wind loading conditions. With the rising requirement for safe and efficient urban structures, understanding the behavior of different structural systems under lateral loads has become essential.The …
Published in Journal of Structural Engineering and Management · Vol. 13, Issue 2, 2026 Read article