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95 articles for “Characterization techniques”
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Experimental Study on the Wear Mechanisms of Cutting Tools in High-Performance Machining
Abstract: Because high-performance machining (HPM) may increase output and improve product quality, it is essential for modern production. The quick wear of cutting tools under high-stress circumstances, however, presents serious difficulties that affect surface smoothness, tool life, and cost-effectiveness. Through an analysis of the impacts of cutting speed, feed rate, tool material, and cooling techniques, this work explores the wear processes impacting cutting tools in HPM. Advanced spectroscopy and microscopy procedures …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 2, Issue 1, 2024 · pp. 9–14 Read article
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Crystallinity of commercial carbon fibers from X-ray diffraction (XRD) studies
Abstract: Sized carbon fibers have commercial significance. Such carbon fibers serves has excellent reinforcing material with the polymer resin filler matrix leading to the formation of carbon fiber reinforced composites (CFRCs). Polarized carbon fibers find applications in the realms of health, energy, environment, defence, catalysis and smart materials. For brevities sake, the focus of the current research paper is only on the structural characterization of carbon fibers using XRD. The structure …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 1, Issue 1, 2023 · pp. 17–27 Read article
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A Review of Torque Ripple Reduction Techniques in Switched Reluctance Motors
Abstract: Switched Reluctance Motors (SRMs) have emerged as a promising alternative to conventional motor technologies due to their rugged structure, low manufacturing cost, high-temperature capability, and suitability for harsh environments. Despite these advantages, the widespread adoption of SRMs in applications such as electric vehicles, household appliances, industrial drives, and aerospace systems is significantly restricted by the issue of torque ripple. Torque ripple manifests as periodic fluctuations in the developed electromagnetic torque, …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 3, Issue 2, 2025 · pp. 45–50 Read article
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Design Analysis of PALF Natural Fiber Composite Laminate under Tensile Loading Condition using Simulation Approach
Abstract: Plant-based fibre reinforced materials are increasingly being employed for a variety of structural and non-structural purposes. Plant and animal-based fibres have different characteristics depending on a variety of circumstances. Mechanical qualities are primarily determined by parameters such as matrix, fillers, fibre content, fibre treatment, and fabrication techniques. The present work aim in analyzing the PALF natural fiber using simulation approach. In the process laminates are prepared as per ASTM standards …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 1, Issue 2, 2023 · pp. 23–29 Read article
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A Critical Review of Generative Design Methods in Computer-Aided Drafting
Abstract: In the realm of Computer-Aided Drafting (CAD), generative design methods have become a potential strategy for automating and enhancing the design process. These methods generate a wide range of design possibilities based on given characteristics and limitations by using algorithms and computational tools. The objective of this critical study is to assess the benefits, drawbacks, and implications of generative design techniques in CAD. A notable result of this merger is …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 1, Issue 1, 2023 · pp. 1–6 Read article
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Deep Learning-Based Thermal Prediction Models for Solid-State Electronic Devices
Abstract: The rapid advancement of solid-state electronic devices in high-performance computing, communication systems, automotive electronics, and renewable energy applications has significantly increased concerns related to thermal management and device reliability. Excessive heat generation in semiconductor devices adversely affects operational efficiency, switching performance, lifespan, and overall system stability. Traditional thermal prediction methods often require complex numerical computations and extensive simulation time, making them less suitable for real-time monitoring and adaptive control applications. …
Published in International Journal of Solid State Innovations & Research · Vol. 4, Issue 1, 2026 Read article
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Multiple Sclerosis: A Systematic Review of a Neurological Disorder
Abstract: The inflammatory illness known as multiple sclerosis (MS) is brought on by outside influences that affect a biologically vulnerable host. It has 3 separate diagnostic phases: the pre-clinical phase, which can only be discovered by MRI; the relapsing-remitting (RRMS) phase, which again is defined by bouts of neurological malfunction accompanied by remission; and the progressing phase, which often develops from either the relapse phase. Unfortunately, the majority of relapse MS …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 1, Issue 1, 2023 · pp. 53–71 Read article
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Influence of Die Design Parameters and Mechanical Properties of AA5083 Through Equal Channel Angular Pressing Technique
Abstract: Refinement of the grain structure in bulk Materials is achieved using the Equal Channel Angular Pressing process. The material is pass through a die in this procedure that has two channels that meet at a particular angle. Finer grains are formed as a result of the material's deformation when it passes through die. The creation of ultra-fine grains is influenced by a number of die design characteristics. The effects of …
Published in International Journal of Manufacturing and Production Engineering · Vol. 2, Issue 2, 2024 · pp. 33–47 Read article
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Fracture Analysis of FRP Composites under Thermo-Mechanical Loads for Different Geometry Cutouts
Abstract: Fiber-reinforced composites (FRPs) are used extensively in structural and non-structural components of the aerospace and automotive industries. To utilize these materials for structural applications, it is necessary to understand the fracture behavior of the material. In the present investigation of carbon fiber laminates, studies were carried out to understand the fracture toughness characteristics of the carbon fiber laminates with mechanical, thermal, and thermo-mechanical loadings of modes I, II, and III. …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 3, Issue 2, 2025 · pp. 1–10 Read article
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Editorial: Advancements in Movement Analysis for Understanding Neurological Disorders
Abstract: Neurological disorders pose a significant challenge, demanding innovative approaches for accurate diagnosis, effective treatment, and deeper understanding. Movement analysis emerges as a powerful tool, offering a quantitative window into the complexities of motor function. This editorial delves into the transformative impact of movement analysis on neurological research and clinical practice. Traditional diagnostic methods, reliant on subjective observations, often miss subtle motor impairments, particularly in early disease stages. Movement analysis tackles …
Published in International Journal of Brain Sciences · Vol. 1, Issue 2, 2024 · pp. 28–32 Read article
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Synthesis, Characterization, and Reactivity of Bivalent Tin(II) with 4-Tert-butylphenol
Abstract: Bivalent tin(II)-4-tert. butylphenoxide of composition Sn(OC6H4X-4)2(I), where X = But, has been synthesized by the reaction of stannous chloride (SnCl2) with bimolar amounts of 4-tert. butyl phenol (HOC6H4But-4) in the presence of the base, diethyl amine, in tetrahydrofuran (THF) solvent. The resulting complex was characterized by elemental analysis, molecular weight determination, molar conductance measurement, IR, and 1H NMR spectral studies. The reactivity of the newly synthesized complex (I) with HgCl2 …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 2, Issue 1, 2024 · pp. 14–19 Read article
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Enhancing Smart Grid Resilience Through AI-Based Fault Classification
Abstract: Traditional power grids can be developed into smart grids, and they are comprised of the latest information and communication technologies (ICTs), which are based on establishing the relationship between the conventional electricity systems along with the usage of smart meters and distributed generation. This dynamic improves energy efficiency and the integration of renewables. Well, the dynamic and reversible power injection from Distributed Energy Resources (DERs) creates substantial operational problems. These …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 10–15 Read article
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Overview of Ionic Polarization: A Model Based Novel Approach
Abstract: This study presents a comprehensive analysis of ionic polarization through a novel model-based approach that integrates theoretical, computational, and experimental methodologies. Ionic polarization, which significantly influences the dielectric properties of materials, is examined through the lens of the Clausius-Mossotti equation and the Debye relaxation model, providing a theoretical framework for understanding the relationship between ionic displacement and dielectric behavior. To explore ionic displacement and polarization at the atomic level, advanced …
Published in International Journal of Cheminformatics · Vol. 2, Issue 2, 2024 · pp. 18–25 Read article
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To evaluate the effectiveness of a structured educational program on knowledge about hypoglycemia and its management among diabetes patients living in selected urban slums of Durgapur, West Bengal
Abstract: INTRODUCTION: Diabetes Mellitus (DM) is a significant global health issue characterized by chronic hypoglycemia and an imbalance in the metabolism of carbohydrates, fats, and proteins. It has multiple underlying causes. Hyperglycemia refers to high blood glucose levels, while low blood glucose levels are known as hypoglycemia. Raising awareness about the signs and symptoms of diabetes among individuals with the condition can potentially minimize complications. OBJECTIVES: 1. To evaluate the initial …
Published in International Journal of Community Health Nursing And Practices · Vol. 1, Issue 1, 2023 Read article
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Design and Analysis of Quality Improvement for Radiator Manufacturing Industry
Abstract: This study investigates the design and analysis of quality control measures for the radiator manufacturing industry through the utilization of various nanofluids. Both experimental techniques and computational fluid dynamics (CFD) simulations using ANSYS software are employed to assess the performance of different nanofluids in enhancing the efficiency and reliability of radiators. The experimental aspect involves testing the heat transfer characteristics and thermal conductivity of nanofluids, while CFD simulations provide insights …
Published in International Journal of Energy and Thermal Applications · Vol. 2, Issue 2, 2024 · pp. 24–28 Read article
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Evaluating Water Savings in Vertical and Horizontal Hydroponic Systems Using Nutrient Film Technique
Abstract: A study conducted at SVCAET, IGKV, Raipur, focuses on water conservation in hydroponics using the nutrient film technique (NFT). The research evaluated both vertical and horizontal hydroponic systems. Initially, plants were grown in a nursery before being transplanted into either the vertical or horizontal system. In these systems, nutrient-rich water was continuously circulated over the plant roots. The study assessed water usage and the remaining water in the system on …
Published in International Journal of Nutritions · Vol. 2, Issue 1, 2025 · pp. 1–8 Read article
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A Secured Architecture of Internet of Things (IoT) in the 5G Age
Abstract: Internet of things (IoT) is a technology capable of connecting vast number of devices of many types worldwide via the internet using unique IP addresses. The connected devices can communicate ubiquitously anywhere, anytime for any given user. Such globally distributed networks require a high level of connectivity among its components like smart sensors, workstations as well as networking devices. Thankfully, with the aid of the recently emerged 5G technology, which …
Published in International Journal of Mobile Computing Technology · Vol. 3, Issue 1, 2025 · pp. 33–43 Read article
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Transforming Transportation in India: Exploring the Challenges and Opportunities of Electric Vehicles
Abstract: They also help lessen the impact of ozone-depleting substances and support the widespread adoption of renewable energy. Although significant research has focused on EV features, performance, and charging infrastructure, challenges in production and network modeling persist. This paper provides an overview of various EV technologies, including EVs, hybrid electric vehicles (HEVs), plug-in hybrid electric vehicles (PHEVs), and battery electric vehicles (BEVs), and evaluates their market penetration rates. It explores various …
Published in International Journal of Energy and Thermal Applications · Vol. 2, Issue 2, 2024 · pp. 17–23 Read article
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Exploring Molecular Spectroscopy: Insights into Chemical Structures and Interaction
Abstract: A key tool for understanding the dynamics, structure, and interactions of molecules is molecular spectroscopy. This abstract outlines the key principles and techniques employed in modern molecular spectroscopy, highlighting its significance in various scientific disciplines. The focus is on the principles of absorption, emission, and scattering of electromagnetic radiation by molecules, leading to valuable insights into molecular properties. The abstract begins by discussing the basic principles of molecular spectroscopy, emphasizing …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 1, Issue 1, 2023 · pp. 11–16 Read article
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Machine Learning Approach to Predict the Performability and Emissions of Diesel Engine Fueled with Doped Biodiesel Blend
Abstract: Enhancing the performability and emission characteristics of diesel engines has been a difficult task in light of growing concerns about global warming and other negative effects, as diesel accounts for 70% of global energy demand. In this study, engine performance and exhaust emissions for various fuel blends were thoroughly evaluated using machine learning techniques to predict engine emission and performance behavior. We focused on biodiesel blend and nanoparticle additive concentration …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 3, Issue 1, 2025 · pp. 1–12 Read article