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533 articles for “Al-2219 alloy matrix” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Composite Solutions for Sustainable Mobility: Aluminum Alloy, Carbon Fiber, and Graphene in Chassis Frame Design
Abstract: This study describes the design and analysis of a chassis frame made of carbon fibre, graphene, and aluminium alloy composite materials. A frame must be able to sustain vibration, shocks, and bending and torsional pressures. This piece of work uses a rectangular cross-sectional area to design a frame. After that, the simulated chassis is taken for investigation using composite materials such as aluminium alloy and carbon fibre reinforced with graphene. …
Published in International Journal of Solid State Innovations & Research · Vol. 1, Issue 2, 2023 · pp. 1–7 Read article
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A Comparative Analysis of Factors Contributing to Relapse in Alcohol and Opioid Dependence Among Patients Admitted to Selected Hospitals in Ludhiana, Punjab.
Abstract: Introduction: Substance abuse involves the dangerous or detrimental use of psychoactive substances, such as alcohol and illegal drugs. The use of these substances can result in dependence syndrome, which encompasses a range of behavioral, cognitive, and physiological effects that arise from ongoing substance use. Objectives: This study was carried out to examine the factors linked to relapse in alcohol and opioid dependence among patients admitted to selected hospitals in Ludhiana, …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 2, Issue 2, 2024 · pp. 1–7 Read article
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Incremental Conductance Algorithm and Perturb and Observe Algorithm Reveals Key Insights into Their Comparative Analysis: A Review
Abstract: The maximum or more is a crucial aspect of PV systems to optimize energy harvesting from solar panels, which have been the focus of extensive research and implementation. This study presents a comprehensive comparative analysis of these two methods of evaluation to evaluate their performance and suitability for various operating conditions. The Perturb and Observe method, a simple and widely adopted MPPT algorithm, involves perturbing the operating point and observing …
Published in International Journal of Optical Innovations & Research · Vol. 2, Issue 2, 2024 · pp. 9–16 Read article
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A Comprehensive Study of Radial Load Fluctuation on Alloy Wheels for Electric Vehicles
Abstract: Electric Vehicle’s alloy wheels are designed to allow for better heat dissipation. Manufacturers carry out many tests of a wheel to be sure, that the wheel will fit for safety reason as also their comfortability level is even bigger. Therefore, a specific design was selected for which the simulations of alloy wheel were performed under real loading conditions. The main objective of this research is to analyze the effects of …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 2, Issue 2, 2024 · pp. 47–56 Read article
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Adoption of One-Touch Emergency Alert Apps: User Authentication, Simplicity, and Trust for Human Safety
Abstract: Quick reactions to disasters are extremely important to the safety and health of people. Nonetheless, another frequent problem with emergency cases is the time lag between reports of the incidents and the success and timely response of the concerned authorities. Mobile-based emergency alert systems have thus come in as a potential solution to this problem, given that they enable straightforward and direct communication between the citizens and the law enforcement …
Published in International Journal of Mobile Computing Technology · Vol. 4, Issue 1, 2026 · pp. 01–13 Read article
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Rainwater Measuring Algorithm in O(1) Time Complexity
Abstract: The Rain Terraces Time Complexity Data Structure Algorithm (RTTCDSA) introduces a novel method for managing temporal data efficiently, inspired by the natural flow of rainwater on terraced landscapes. This study presents the conceptual framework and implementation details of RTTCDSA, which leverages principles of temporal dynamics and landscape morphology to organize and query temporal data with optimal time complexity. RTTCDSA employs a hierarchical structure akin to terraced landscapes, facilitating rapid traversal …
Published in International Journal of Data Structure Studies · Vol. 2, Issue 1, 2024 · pp. 26–32 Read article
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A Study on Friction Stir Processing Effected on Hardness and Tensile Properties When Single Pass and Double Pass Is Considered Using Al 6061 And Steel Material
Abstract: The principle of friction stir welding was initially employed to build the emerging technology known as friction stir processing, or FSP. FSP has shown to be a successful method of developing face mixes and increasing the material's mechanical parcels. Aluminum blends are among those accoutrements over which the FSP can be performed successfully. The study comprised the careful processing of steel and Al 6061 samples using both single and double …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 2, Issue 1, 2024 · pp. 16–23 Read article
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A Review Paper on Friction Stir Processing on Aluminium Alloys
Abstract: Friction stir processing is a step from friction stir welding, targeted at surface modification through improving the local microstructure via localized plastic deformation. The tool consists of a rotating mechanism incorporating a shoulder and pin that are inserted into the material, traversing the designated area. When the tool's shoulder and the workpiece make contact, friction develops, generating heat that produces plastic deformation. This localized plastic deformation and heat impact result …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 2, Issue 1, 2024 · pp. 1–8 Read article
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Optimization of Robotic Path Planning Algorithms for Autonomous Material Handling Systems
Abstract: For autonomous systems for handling materials (AMHS) to operate as efficiently as possible in industrial and logistical settings, robotic route planning is essential. This study examines many robotic route planning algorithms, emphasizing their use, ways of optimization, and difficulties in material handling systems. To improve the effectiveness, precision, and computational viability of these algorithms, the study also examines a number of optimization strategies, including machine learning, parallelization, heuristic search, and …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 2, Issue 2, 2024 · pp. 15–20 Read article
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Applying Kruskal's Algorithm in Supply Chain Management for Cost-Effective Network Optimization
Abstract: Transportation route optimization and cost reduction are major difficulties in today's dynamic and complicated supply chain systems. To produce economical and effective network designs, this study investigates the use of Kruskal's algorithm for supply chain network optimization. The algorithm guarantees that all supply chain nodes, including delivery hubs, warehouses, and distribution centers, relate to the lowest possible total transportation cost by building the minimum spanning tree (MST). The study shows …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 1, 2025 · pp. 49–54 Read article
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Nymphaea lotus (Indian Lotus) Analysis with Genetic Algorithm
Abstract: There is a significant problem with the availability of medicinal plants for the treatment of various diseases. Nymphaea lotus (Indian lotus) is one such plant, which is primarily available in the Indian subcontinent. This paper investigates the analysis of this medicinal plant with the help of a genetic algorithm. Himalayan yew, false black pepper, Indian snakeroot, and Indian lotus are four medicinal plants. These four have some unique medicinal values, …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 1, Issue 2, 2023 · pp. 18–22 Read article
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Unraveling the Nexus: Parkinson's Disease, Alpha-synuclein, Desulfovibrio, and the Gut Microbiome
Abstract: Parkinson's disease (PD) is now recognized as a chronic condition which is once considered a highly intricate disorder involving the central, autonomic, and enteric nervous systems. The prevailing perspective attributes the disease by the formation of Lewy bodies, primarily triggered by the misfolding of α-Synuclein, leading to the demise of dopaminergic neurons in the substantia nigra. Constipation, one of the most common non-motor symptoms in PD patients, is believed to …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 2, Issue 1, 2024 · pp. 18–28 Read article
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Super-twisting Algorithm Based Sliding Mode Controlled Boost Converter
Abstract: This work provides analysis of boost converter with super-twisting algorithm under sliding mode operating in continuous conduction mode. The super-twisting algorithm reduces the chattering effect which is inherent in conventional sliding mode control. Generally, chattering increases heat losses, thereby decreasing the performance of the boost converter. The aforementioned control strategy minimizes the initial current peak and provides highly improved output voltage regulation irrespective of the input voltage perturbation and load …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 2, Issue 1, 2024 · pp. 38–48 Read article
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Alcohol, Circadian Glymphatic Dysfunction, and Neurodegenerative Protein Accumulation: An Emerging Concern in the Indian Context
Abstract: Alcohol consumption has long been identified as a major public health issue, yet its deeper and more subtle effects on the human brain are only now coming into sharper focus. Traditional explanations often emphasize direct neuronal damage, but emerging research in neuroscience suggests a more intricate story. Recent findings indicate that alcohol not only harms brain cells but also disrupts the body’s internal biological clock—the circadian rhythm—which plays a critical …
Published in International Journal of Brain Sciences · Vol. 3, Issue 1, 2026 · pp. 1–4 Read article
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Driver Anti-Sleep Alarming and Protection
Abstract: Road accidents due to driver drowsiness is one of the biggest problems worldwide, which kills thousands of people every year. Fatigue slows the reaction time, reduces the concentration, and, most importantly, impairs the judgment, thus making drowsy driving as dangerous as drunk driving. To reduce such accidents, various technologies have been employed to develop driver anti-sleep devices. These include sensor-based detection, camera-based eye monitoring, EEG analysis, and real-time alert systems. …
Published in International Journal of Electronics Automation · Vol. 4, Issue 1, 2026 Read article
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A Review on The Role of Nanoparticles in Modifying Mg Alloys and Composites
Abstract: Reviewing and assessing magnesium's uses in the automobile sector, which have the potential to greatly improve fuel efficiency and environmental preservation, is the goal of this study. The report provides an overview of magnesium alloys' present benefits, drawbacks, technological obstacles, and future prospects in the automobile sector. The development of magnesium matrix composites has advanced to a new level thanks to the magnesium matrix nanocomposites' exceptional mechanical qualities. Dispersing nanoparticles …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 2, Issue 1, 2024 · pp. 24–32 Read article
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Yoga and Neural Health: Enhancing Brain Function Through Postural Alignment
Abstract: Correct posture significantly influences neural function and brain health by ensuring optimal alignment of the spine and nervous system. Poor posture disrupts neural communication, impairs blood flow, and affects cerebrospinal fluid (CSF) circulation, leading to adverse effects on cognitive performance, emotional regulation, and overall brain health. This study examines the physiological connection between posture and neural health, emphasizing its impact on cognitive function, mood, and neuroplasticity. Using a mixed-methods approach, …
Published in Recent Trends in Sports · Vol. 2, Issue 1, 2025 · pp. 24–28 Read article
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Evaluating the Impact of a Structured Teaching Programme on Knowledge About Endometriosis Among First-Year Degree Students in a Chosen College in Wayanad District
Abstract: Introduction: The primary objective of this study is to evaluate the impact of a structured teaching program on the understanding of endometriosis among female students enrolled in the first year of a chosen degree arts and science college in Wayanad district. The specific goals include evaluating the baseline knowledge about endometriosis among first-year degree students in the selected college and determining the effectiveness of the structured teaching program in enhancing …
Published in International Journal of Midwifery Nursing And Practices · Vol. 2, Issue 1, 2024 · pp. 20–24 Read article
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Algorithmic Strategies for Complex Data Handling: Optimizing Data Structures for Enhanced Computational Performance
Abstract: We live in an age of big data and processing very large often complicated datasets can be crucial to efficient algorithmic performance. This paper discusses different algorithmic techniques when working with difficult data and how to arrange your information structures correctly for better functionality in large-scale methods. It checks the impact of different algorithms like sorting, searching, and hashing in boosting its processing speed as well as memory use. This …
Published in International Journal of Data Structure Studies · Vol. 2, Issue 2, 2024 · pp. 1–10 Read article
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Enhancing Functional and Structural Properties of Advanced Materials through Scandium-based Nanostructures: Applications in Ceramics, Thermoelectrics, Memory Devices, and High-Strength Alloys
Abstract: This study explores the fabrication and properties of scandium-based nanostructured materials with applications in ceramics, glass, thermoelectric modules, switching devices, and strengthened alloys. Scandium oxide (Sc₂O₃) nanopowders were synthesized using precipitation techniques and subsequently sintered to create transparent ceramics with fine dispersion. Investigations into scandium-doped metallic glasses demonstrated enhanced plastic deformation, with notable tensile plasticity attributed to its unique nanoglass structure. A new scandium-doped thermoelectric material, ZnCdO, was also developed, …
Published in International Journal of Minerals · Vol. 1, Issue 2, 2024 · pp. 14–18 Read article