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1472 articles for “Performance improvement”
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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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Sustainable Electric Vehicle Development: The Role of Recyclable Polymers and Composites
Abstract: Electric vehicles (EVs) represent a pivotal shift toward sustainable transportation and climate change mitigation. In India, the transition to EVs is driven by government policies, technological advancements, and growing environmental awareness. However, the sustainability of EVs extends beyond their operational efficiency to the materials used in their construction. This paper explores the role of recyclable polymers and composites in enhancing the sustainability of EVs in India. The study highlights the …
Published in Journal of Polymer & Composites · Vol. 12, Issue 3, 2024 · pp. 16–28 Read article
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Thermo-Mechanical and Electrical Properties of Multi-Walled Carbon Nanotube-Enhanced Polyimide Composites for Aerospace Thermal Protection Systems
Abstract: Advanced aerospace thermal protection systems (TPS) require multifunctional materials that simultaneously provide high thermal stability, mechanical strength, and reliable electrical performance. Polyimide (PI) is widely used in aerospace structures due to its lightweight design and exceptional thermal durability, yet its low thermal conductivity and insulating behavior limit its effectiveness in heat dissipation and electromagnetic interference (EMI) shielding applications. This study addresses these limitations by developing multi-walled carbon nanotube (MWCNT)-reinforced polyimide …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 966–982 Read article
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Optimizing Heat Transfer Performance in CO2 Finned-Tube Gas Coolers: A Comparative CFD Study of Design Variations
Abstract: Computational fluid dynamics (CFD) simulations and mathematical analysis are used in this study to examine the heat transfer efficiency of CO2 fined tube gas coolers. To maximize heat transfer efficiency, CFD simulations were carried out on a variety of gas cooler designs with variable fin geometry, including offset strip fins, using the ANSYS Fluent program. Under the baseline design, there was a finned tube cooler measuring 610 mm in length, …
Published in Recent Trends in Fluid Mechanics · Vol. 11, Issue 3, 2024 · pp. 1–13 Read article
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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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Automated Healthcare Support System with AI
Abstract: The Automated Healthcare Support System with Artificial Intelligence (AI) presents a smart and scalable digital solution aimed at improving the accessibility and efficiency of healthcare services. The system is designed to provide preliminary medical guidance, perform symptom-based analysis, and deliver health-related insights through an intuitive user interface. By enabling early identification of potential health conditions, it assists users in determining the necessity of professional medical consultation. The proposed platform utilizes …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 1, 2026 Read article
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Comprehensive Thermal and Environmental Investigation of An Enhanced Evacuated Tube Solar Water Heater with Wavy Tape and Latent Heat Storage
Abstract: Evacuated tube solar collectors (ETSCs) are widely used for thermal energy applications; however, enhancing their thermal and exergetic efficiency remains a challenge. This study investigates performance enhancements through structural and material alterations. Four ETSC cases were tested experimentally, case-1: a standard ETSC, case-2: Wavy tape (WT) inserted ETSC, case-3: Phase change material (PCM) integrated ETSC, and case-4: Dual-Enhanced ETSC (PCM + WT). A binary eutectic PCM was utilized for latent …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 12, Issue 2, 2025 · pp. 1–16 Read article
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Enhancing Mechanical and Thermal Performance of M30 Concrete with Carbon Fibre Reinforcement
Abstract: This study examines the influence of carbon fibre incorporation on the mechanical properties of M30-grade concrete. A series of experimental investigations were conducted to assess the effects of varying carbon fibre content on compressive, split tensile, and flexural strengths. The results indicate a significant enhancement in mechanical performance with the inclusion of carbon fibres, with the optimum fibre dosage identified as 0.75%. At this content, the concrete achieved a peak …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 252–260 Read article
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An Efficient CNN Model for Automated Cotton Leaf
Abstract: Timely and accurate identification of cotton leaf diseases are essential for maintaining healthy crop production and minimizing agricultural losses. Early detection allows farmers to take preventive or corrective measures, reducing the risk of disease spread and improving overall yield. In this study, we propose a Convolutional Neural Network (CNN) based model for the automated classification of cotton leaf diseases using image-based detection techniques. The model is trained on a diverse …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 14, Issue 3, 2025 · pp. 01–10 Read article
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Academic Performance and Its Associated Factors Among Pawe Health Science College Students in Benishangul-Gumuz Regional State, North-West Ethiopia
Abstract: Background: Academic performance can be defined as the degree to which a teacher, an institution, or a student meets short-term or long-term learning objectives. Continuous assessments and the student’s overall cumulative grade point average (CGPA) are typically used to measure academic achievement. Objectives: To assess academic performance and its associated factors among students, in the case of Pawi Health Science College, Benishangul-Gumuz Regional State, North-West Ethiopia, 2025. Methods: An institution-based …
Published in Journal of Nursing Science & Practice · Vol. 16, Issue 1, 2026 · pp. 24–35 Read article
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Advancements in Polymer Chemistry for Biomedical Applications: A Focus on Injection Guides
Abstract: Polymers have revolutionized biomedical applications, offering versatility, biocompatibility, and cost-effective manufacturing. This paper explores the role of polymer chemistry in the development of an advanced injection guide for precise drug delivery, aiming to enhance both safety and efficiency in clinical settings. Emphasis is placed on polymer selection, structural design, and functional modifications to improve injection procedures. By leveraging biodegradable and biocompatible polymers, the guide minimizes adverse tissue reactions while ensuring …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 129–136 Read article
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Development of Fast and Power Efficient Elevator
Abstract: The rapid urbanization and vertical expansion of cities have led to a surge in the construction of high-rise buildings, creating a growing demand for elevator systems that are not only fast but also energy efficient. As population density in metropolitan areas increases, the pressure on vertical transportation systems intensifies, highlighting the need for solutions that can handle high passenger traffic without compromising performance or sustainability. This study presents the development …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 3, Issue 2, 2025 · pp. 32–41 Read article
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Performance Testing of Arduino-Based Hybrid Solar Dryer for Drying Apple Slices
Abstract: A novel and high-efficiency hybrid solar dryer was designed and developed in this study to dry apple slices. The thermal analysis of the dryer is conducted by calculating collector efficiency, drying rate, and drying efficiency. Integrating an Arduino-based temperature and humidity monitoring system in a hybrid solar dryer enhances the ability to optimize performance and efficiency. Both the collector and drying chamber are made of aluminum sheet as it has …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1872–1886 Read article
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Design and Development of Fiber Sandwiched Composite Materials for the Improvement of Mechanical Properties
Abstract: This research paper presents the development and mechanical characterization of fiber sandwiched composite materials (FSCM) to address the increasing demand for high-strength, lightweight, and corrosion-resistant materials in advanced engineering sectors such as automotive, aerospace, and transportation industries. Traditional homogeneous materials such as metals, ceramics, and polymers often fail to provide a balanced combination of properties like high tensile strength, low density, toughness, abrasion resistance, and impact resistance needed for modern …
Published in Journal of Experimental & Applied Mechanics · Vol. 17, Issue 1, 2026 · pp. 22–37 Read article
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Optimized Web-based Online Food Ordering System: Design and Implementation
Abstract: Online food ordering systems have undergone a profound metamorphosis with the advent of digital technologies, catalyzing a pivotal shift in the operational dynamics of the gastronomic sector. This paper elucidates the conceptualization, design, and implementation of an advanced, web-based food ordering system, meticulously engineered to elevate the efficiency and sophistication of food service operations. Employing the rigorously structured Systems Analysis and Design Methodology (SSADM), this system represents a transformative departure …
Published in International Journal of Computer Science Languages · Vol. 2, Issue 2, 2024 · pp. 1–25 Read article
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Implementation of STATIC-RANDOM-ACCESS-MEMORY-Based In-Memory Computing-architecture for improving Energy Efficiency
Abstract: The in-memory-computing architecture the improvement of big data and high-performance computing. In memory-computing (IMC) as reduces the latency and power consumption of data processing. Proposed research paper static random-access memory-based IMC architecture. By completing internal write-back, NMOS transistors increase computational efficiency and eliminate the need to read the computational output right away. A 128×128 STATIC-RANDOM-ACCESS-MEMORY-IMC macro chip is designed using the 78-nm technology. The energy efficiency of 55.3TOPS/W with supply …
Published in Journal of VLSI Design Tools and Technology · Vol. 15, Issue 1, 2025 · pp. 25–35 Read article
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Real-Time Cab Fare and ETA Prediction Using API Integration
Abstract: The exponential proliferation of ride-hailing platforms has necessitated the formulation of sophisticated and highly responsive predictive models for cab fare estimation and estimated time of arrival (ETA) computation. This work elucidates a robust framework leveraging real-time application programming interface (API) integration from Uber and Ola within a Flutter-based ecosystem to enhance predictive analytics. By assimilating real-time geospatial data, dynamic pricing algorithms, and latency-optimized API responses, this study investigates the empirical …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 08–15 Read article
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Recent Trends in Rotary Kiln and Refractory Material Patterns in Cement Production: A Review Approach
Abstract: The manufacturing of cement and other industrial operations depend heavily on rotary kilns, which use refractory materials to endure high temperatures and challenging chemical conditions. With an emphasis on their effects on durability and operating efficiency, this study looks at the most recent developments in rotary kiln technology and refractory material choices. Various rotary kiln designs, typical refractory material patterns, and the difficulties posed by kiln failures are all covered. …
Published in Journal of Experimental & Applied Mechanics · Vol. 16, Issue 2, 2025 · pp. 27–34 Read article
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Advances in Shell Programming: Techniques, Tools, and Emerging Trends
Abstract: Shell programming has undergone a significant transformation, shifting from simple command-line interactions to a mature, versatile scripting environment that supports modern computing needs. Over time, shells such as Bash, Zsh, and PowerShell have expanded far beyond basic task execution, evolving into powerful tools capable of handling complex automation workflows, system configuration tasks, and cross-platform orchestration. These environments now offer improved error handling, stronger security features, integrated performance-monitoring options, and more …
Published in Journal of Advances in Shell Programming · Vol. 12, Issue 3, 2025 Read article
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Enhancing Credit Card Fraud Detection Using Device Fingerprinting and Behavioral Biometrics
Abstract: Credit card fraud is a growing global concern, with financial losses projected to reach $ 43.47 billion by 2028. Credit card fraud poses a major challenge in the financial industry, resulting in substantial financial losses and security risks. This research introduces a Machine Learning-based Credit Card Fraud Detection System designed to improve the accuracy of fraud identification. Due to the imbalanced nature of fraud datasets, SMOTE (Synthetic Minority Over-sampling Technique) …
Published in Journal Of Network security · Vol. 13, Issue 2, 2025 · pp. 40–50 Read article