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918 articles for “experimental analysis”
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Turbulence Modelling for Estimation of Hydraulic Jump Height
Abstract: AbstractThe simulation plays an important role in understanding the behavior of the flow field that becomes difficult through experimental analysis. The present work focuses on the experimental studies carried out for different discharges ranging from 9.8 lps to 12.5 lps. The gate openings adopted for the study are 0.025 m at a slope of 1:1200 and 0.023 m at a slope of 1:857 and 1:705.8. The simulations were extended to …
Published in Recent Trends in Fluid Mechanics · Vol. 5, Issue 3, 2018 · pp. 8–18 Read article
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Using FEA Simulation and Photoelasticity Techniques to observe Integrated Stress Pattern for Transparent Polycarbonate Rectangular Specimen having Arc Feature
Abstract: In the fields of mechanics and materials science, photoelasticity is a reliable experimental method that provides a visual evaluation and analysis of the distribution of stress in materials that are transparent or translucent. This non-destructive testing technique uses the special property of materials known as birefringence, or double refraction, to visualise stress on a model under load. The process involves building a physical model that mimics real-world structures, applying mechanical …
Published in Journal of Polymer & Composites · Vol. 12, Issue 3, 2024 · pp. 55–63 Read article
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Finite Element Analysis of Tool Wear Rate in Electrical Discharge Machining and Comparison with Experimental Results
Abstract: Electrical discharge machining (EDM) is one of the precise non-traditional machining processes in which desired shape is obtained in workpiece using electrical sparks. In EDM, material removal from workpiece and tool takes place by means of successive sparks occurring between them. The tool wear is a critical problem in EDM as the change in tool shape directly affects the final shape of the workpiece. In this paper, finite element analysis …
Published in Trends in Machine design · Vol. 3, Issue 3, 2016 · pp. 18–22 Read article
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Analysis and Improvement in Tribological Properties of Coated HSS Tool
Abstract: The use of low friction coatings like TiAlN and AlCrN is to improve the tribological properties of tools for metal cutting, forming and machine elements. It is strong scientific interest to conduct fundamental tribological research on the materials that exhibits low friction and can be used for surface coating on surfaces to rub against with reduced friction and wear. Parameters influence the quality of the products in turning process. The …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 5, Issue 1, 2018 · pp. 23–36 Read article
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A Review of Computational Methods for Image Restoration and Noise Reduction Using Reference Images
Abstract: Digital imaging systems play a vital role in numerous application domains, including consumer photography, biomedical imaging, remote sensing, aerial surveillance, and astronomical observation. Despite continuous advancements in imaging hardware and software, the visual data acquired by these systems often suffer from degradation caused by spatially non-uniform blur. This blur may arise due to several factors, such as lens imperfections, atmospheric turbulence, sensor limitations, motion between the camera and the scene, …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 13, Issue 1, 2026 · pp. 23–30 Read article
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Psychometric Analysis of an Induced Cooling Tower in a Humid Condition
Abstract: An Induced Cooling Tower (ICT) is an energy transformation device that facilitates heat and mass transfer by leveraging ambient conditions. ICTs are particularly effective in applications requiring a large heat transfer surface area, utilizing evaporative cooling of ambient air to cool hot steam. The performance of an ICT is significantly influenced by ambient humidity and temperature, making these environmental factors critical in its design and operation. As such, ICTs are …
Published in Journal of Thermal Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 22–29 Read article
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Integrated Analysis of Stress Patterns in Transparent Polycarbonate Specimens: A Comparative Study between Photoelasticity and FEA Simulation for Compact Circular Testing
Abstract: Photoelasticity stands as a robust experimental technique within the realms of mechanics and materials science, offering a means to visually assess and analyze stress distribution within materials possessing transparency or translucency. This method, a non-destructive testing approach, involves the visualization of stress on a model subjected to a load, leveraging the unique property of materials known as birefringence or double refraction. The procedure entails the careful selection of a suitable …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 79–87 Read article
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Experimental Study on Effectiveness of TMD in Reducing Torsional Motion under Harmonic Base Motion
Abstract: AbstractAsymmetry in the building could arise due to unsymmetrical distribution of mass, stiffness, damping and/or strength characteristics. The earthquake response of asymmetric buildings is characterized by coupling between translational and rotational degrees of freedom (dofs). This paper includes an experimental analysis of one storied asymmetrical building frame subjected to harmonic motion with and without tuned mass damper (TMD). Experimentation is done on a shake table and readings were recorded. The …
Published in Journal of Structural Engineering and Management · Vol. 4, Issue 3, 2017 · pp. 13–16 Read article
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Investigation of Fracture Mechanics in Composite Materials Through Experimental Testing
Abstract: Understanding the fracture mechanics of composite materials is essential to appreciating their durability and structural integrity. The goal of this research article's extensive experimental analysis is to clarify how composite materials fracture under various loading scenarios. The study makes use of cutting-edge experimental methods to describe the beginning, spreading, and eventual failure of cracks in composite structures. An understanding of the fundamental mechanisms controlling fracture in composites is obtained by …
Published in Journal of Experimental & Applied Mechanics · Vol. 14, Issue 2, 2023 · pp. 10–14 Read article
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Design and Analysis of Closed Flow System with Varying Various Parameters of Hydrodynamics for PEH
Abstract: In this work, a piezoelectric energy harvesting system is designed, which can vary different parameters for analyzing the output of PVDF (e.g. water flow rate, piezoelectric patch, piezoelectric circuit, pressure head and different configurations of installation of piezoelectric etc.). A prototype model is made of this system is made for experimental analysis. The analysis of the prototype is done by varying two parameters (i) Water flow rate (ii) Piezoelectric circuit. …
Published in Journal of Control & Instrumentation · Vol. 8, Issue 3, 2017 · pp. 30–37 Read article
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Enhancement in Biomedical Polymer Nanocomposites: Biocompatibility and Mechanical Property Predictions using Machine Learning
Abstract: A machine learning (ML)-based framework is developed and validated through experimental analysis and comparative modeling to enhance system dependability and improve prediction performance. The proposed framework includes key stages such as data preprocessing, feature evaluation, model training, and performance benchmarking to determine the most effective prediction technique. Several machine learning models were evaluated, including Ensemble models, Artificial Neural Networks (ANN), Decision Tree (DT), Random Forest (RF), Support Vector Machine (SVM), …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 275–296 Read article
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Advanced Polymer Composite Coating for Thermal Performance and EEE Improvement of a Solar Energy Harvesting System
Abstract: The integration of carbon-based nanomaterials with polymer matrices presents a promising route toward advancing solar energy harvesting technologies. In this study, nanoparticle-blended polymer composite coatings are examined to evaluate the performance of FPSC, utilizing an unconventional collector setup and a multiple-carbon-based nanoparticle-blended paint polymer. Nanomaterial provides a crucial alternative for enhancing their thermal efficiency. The research findings reveal that the deformation of nanomaterials improves the heat efficiency of solar collectors. …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 1197–1222 Read article
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Design and Implementation of Single-Phase, Three-Level, Sub-Harmonic PWM Inverter with Short-Circuit Fault Detection
Abstract: This paper investigates the design and implementation of single-phase, three-level inverter controlled by sub-harmonic pulse-width modulation (SH-PWM). The performance of developed 3-level inverter is simulated and then is compared with 2-level conventional inverter as well as FFT analysis. Experimental test has been undertaken to examine the operating characteristics of the implemented inverter for supplying an inductive load. To increase the reliability of designed inverter in different applications, a short-circuit fault …
Published in Journal of Instrumentation Technology & Innovations · Vol. 5, Issue 2, 2015 · pp. 5–13 Read article
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Spectral Intuitionistic Fuzzy Hypergraph Operators and Dominance Kernels for Resilient Discrete Network Design
Abstract: A new discrete-mathematical framework is developed for resilient network design on intuitionistic fuzzy hypergraphs, where uncertainty is explicitly represented through membership, non-membership, and hesitation degrees associated with both vertices and hyperedges. These three components are systematically integrated into an effective incidence operator that captures the underlying uncertain relationships within complex hypergraph structures. Based on this operator, both un-normalised and normalized Laplacian matrices are formulated to characterize the spectral properties and …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 41–48 Read article
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Detection of Stator and Rotor Winding Faults in Induction Motor using Park’s Vector Approach
Abstract: The Induction Motors in every rotating machine’s heart and it’s a very important component in amuch. Almost 90 percent of the Induction Motor use in industry as a prime mover. So Induction Motoris necessary to Condition Monitoring for Economic Running Cost. Condition Based Monitoring ofInduction Motor has become an important and difficult task for Engineers and Researchers mainly inIndustrial applications. Several Condition Monitoring Methods (Technique) including Motor CurrentSignature Analysis Monitoring, …
Published in Journal of Control & Instrumentation · Vol. 12, Issue 1, 2021 · pp. 6–17 Read article
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Detection of Stator and Rotor Winding Faults in Induction Motor using Park’s Vector Approach
Abstract: The Induction Motors in every rotating machine’s heart and it’s a very important component in a much. Almost 90 percent of the Induction Motor use in industry as a prime mover. So Induction Motor is necessary to Condition Monitoring for Economic Running Cost. Condition Based Monitoring of Induction Motor has become an important and difficult task for Engineers and Researchers mainly in Industrial applications. Several Condition Monitoring Methods (Technique) including …
Published in Journal of Control & Instrumentation · pp. 6–17 Read article
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Micro-Doppler Signatures for Human with Orbbec Sensor
Abstract: Micro-movements, such as oscillations, rotations or revolution of an object or structures persuade additional frequency modulations on reinstate radar signal, which generates sidebands about the object’s Doppler frequency, called micro-Doppler effect. Human body mechanics consist of various moving body parts, which generate unique micro-Doppler signatures. Using TFT (time frequency transforms and pattern recognition techniques; we can classify individuals based on their movements using micro-Doppler signatures. Preliminary results from a laboratory …
Published in Journal of Electronic Design Technology · Vol. 12, Issue 1, 2021 · pp. 1–9 Read article
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Experimental Study on Heart Disease Prediction Using Different Machine Learning Algorithms
Abstract: Heart disease which can also be referred to as the cardiovascular disease is one of the raising concerns in today’s world. It is one of the major health problems causing death among humans irrespective of the age group and therefore has made it necessary to look into different medical factors that are required to predict the same in advance using the collected historical datasets of various patients. Thus we have …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 9, Issue 2, 2022 · pp. 17–23 Read article
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In Silico Drug Design for Mycobacterium tuberculosis and Development of Host–Pathogen Interaction Network and Molecular Docking Procedures
Abstract: Objective: A leading cause of illness is the contagious disease tuberculosis (TB), this infection with Mycobacterium tuberculosis complex (MTBC) particularly M. tuberculosis and M. africanum, is what causes tuberculosis. Diverse receptor proteins (mycobacterial proteins) with various 3D structures and functions were evaluated to access the multi-domain antimycobacterial action of ligands. The specific receptor proteins PDB ID: 3PTY, PDB ID: 4OW8, PDB ID: 5KWA, and PDB ID: 3ZXR, were opted for …
Published in International Journal of Molecular Biotechnological Research · Vol. 1, Issue 1, 2023 · pp. 1–19 Read article
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Impact of Counseling on Cancer Patient’s Depression Level
Abstract: Introduction: When given the dreaded and possibly fatal cancer diagnosis, patients go through a great deal of pain. Depression is one of the psychiatric problems that can arise after a cancer diagnosis. The purpose of the current research is to evaluate how well counseling therapy can lower depression levels in cancer patients. Methodology: Geetanjali Hospital in Udaipur provided the data for this study, which utilized a single-group, quasi-experimental analysis employing …
Published in International Journal of Oncological Nursing and Practices · Vol. 1, Issue 1, 2023 · pp. 1–5 Read article