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1084 articles for “Performance Optimization”
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Experimental Investigation on Heat Transfer Enhancement in Shell and Tube Heat Exchanger Using Graphene Nanofluids
Abstract: The paper focuses on the dispersion of Graphene nanoparticles in a water–ethylene glycol based fluid to investigate their impact on the convective heat transfer performance of the resulting nanofluid. Various concentrations of graphene nanoparticles were prepared, and the nanofluids were subjected to different ultrasonication durations to ensure proper dispersion and stability of the nanoparticles within the base fluid. The study involved extensive experimental evaluation to systematically analyze how the nanoparticle …
Published in Journal of Automobile Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 32–38 Read article
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Next-Generation Conductive Polymer Composites for Flexible and Wearable Electronics
Abstract: The rising demand for flexible and wearable electronics has accelerated research into conductive polymer composites (CPCs) due to their lightweight nature, electrical conductivity, and mechanical flexibility. Despite significant advancements, challenges such as reduced conductivity under mechanical deformation and limited durability persist. This study aims to develop next-generation CPCs with enhanced conductivity, flexibility, and self-healing capabilities. Hybrid nanofillers—graphene, carbon nanotubes (CNTs), and silver nanowires (AgNWs)—were incorporated into bio-based conductive polymers through …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 550–566 Read article
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CFD Analysis of a Bladeless Propelling Unit for the Drones
Abstract: Conventionally, unmanned aerial vehicles (UAVs) and autonomous aerial vehicles (AAVs) utilize bladed propellers to produce lift, altitude, and thrust for propulsion. Yet, these blades are susceptible to abrasion when they contact external surfaces, resulting in diminished operational efficiency over time. Our ongoing investigation introduces a pioneering approach by integrating bladeless propeller technology, drawing inspiration from Dyson’s Bladeless Fan Theory. This study seeks to address the wear-related shortcomings of conventional propeller …
Published in Recent Trends in Fluid Mechanics · Vol. 11, Issue 3, 2024 · pp. 37–46 Read article
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Optimization of Process Parameter in 3D Printing to Minimize Wear Loss and increase Tensile Strength
Abstract: Additive Manufacturing (AM) and especially Fused Deposition Modeling (FDM) has emerged as a very versatile process of manufacturing polymer components with complex and highly-integrated geometries. Polylactic Acid (PLA) is a favorite of the many thermoplastic FDM materials because of its biodegradability, easy processing and predictable mechanical properties. The study aimed at maximizing critical parameters in FDM process in order to reduce wear loss and also increase tensile strength of PLA …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 849–858 Read article
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An Experimental Study on Multi-Criteria Parameters Optimization of Process for Al6351/SiC/Gr Metal Matrix Composites Using AHP-TOPSIS Approach
Abstract: This research focuses on optimizing the process parameters of Wire Electrical Discharge Machining (WEDM) for a hybrid Metal Matrix Composite (MMC) comprising Al6351 aluminum alloy reinforced with 4% SiC and 6% graphite (Gr), fabricated via squeeze casting. This technique enables the formation of dense, defect-free composites with uniform reinforcement distribution, enhancing both mechanical properties and structural integrity. Microstructural characterization using Scanning Electron Microscopy (SEM) confirmed the even dispersion and bonding …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 303–319 Read article
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Hybrid Best-Response Algorithms for Mobile Computing Offloading: A Comprehensive Review
Abstract: The exponential growth of mobile applications with intensive computational requirements has necessitated innovative offloading strategies in mobile computing ecosystems. This comprehensive review examines hybrid best-response offloading algorithms integrated with game-theoretic optimization frameworks to address resource allocation challenges in mobile edge computing (MEC) environments. The proliferation of Internet of Things (IoT) devices and bandwidth-intensive applications has created unprecedented demands on mobile network infrastructure, compelling researchers to develop sophisticated offloading mechanisms that …
Published in International Journal of Mobile Computing Technology · Vol. 3, Issue 2, 2025 · pp. 20–26 Read article
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Sustainable Innovations in Vapor Compression Systems: A Review of Heat Recovery and Environmental Performance
Abstract: Vapor compression refrigeration systems are widely used in residential, commercial, and industrial sectors, contributing significantly to global energy consumption and greenhouse gas emissions. This review explores sustainable innovations in vapor compression systems, focusing on waste heat recovery techniques and their impact on environmental performance. Key advancements include the integration of heat exchangers, ejector systems, and hybrid configurations that enhance energy efficiency while reducing refrigerant load and emissions. With a focus …
Published in Journal of Thermal Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 16–21 Read article
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Integrating Human-Centric Principles into Machine Design: Ergonomic and Safety Enhancements in Mechanical Systems
Abstract: The integration of human-centric design (HCD) principles into mechanical systems has become increasingly critical in contemporary machine design. As machines become more complex and operate within high-interaction environments, the need for design strategies that prioritize human safety, usability, and comfort has intensified. This review explores how ergonomic insights, safety standards, and user experience (UX) considerations influence the physical configuration, control mechanisms, and operational safety of mechanical systems across industrial, healthcare, …
Published in Trends in Machine design · Vol. 12, Issue 2, 2025 · pp. 33–37 Read article
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Plant-Derived Fiber-Reinforced Polymer Composites: The Impact of Compatibilizer on the Fundamental Characteristics and Degradation Properties
Abstract: By using compression molding, unidirectional polypropylene (PP) composites reinforced with banana fiber were created both with and without the use of stearic acid (SA) as a coupling agent. Four filler loading levels (10%, 20%, 30%, and 40% by weight) were employed during the composite manufacturing process, using raw banana fiber. The resulting composites underwent mechanical testing (tensile, bending, and impact characteristics). The ideal combination of mechanical properties was found in …
Published in Journal of Materials & Metallurgical Engineering · Vol. 15, Issue 1, 2025 · pp. 27–37 Read article
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An Overview on Harnessing Microwave Frequencies for Next-Generation Satellite Communication and Earth Observation
Abstract: In the vacuum of space, where traditional cables cannot reach, humanity has woven an invisible, high-speed infrastructure made of oscillating electromagnetic waves. At the heart of this architecture lies the microwave spectrum—the unsung hero that enables everything from global GPS navigation to real-time climate monitoring. The evolution of global connectivity and environmental monitoring is intrinsically linked to the mastery of the microwave spectrum. As satellite constellations transition from traditional Geostationary …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 15, Issue 1, 2026 · pp. 1–6 Read article
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A Study on Fracture Sem Analysis by Optimization of FSW When a Composite Material Al 6061 Mixed with Fly Ash is Done with Cooper Using Anova Method
Abstract: The current study aims to examine how different parameters in friction stir spot welding influence hardness and tensile strength, while identifying the most suitable parameter combinations to enhance the overall quality of the fabricated components. The experimental work involves joining dissimilar materials, where one specimen consists of Aluminum alloy 6061 reinforced with 10% fly ash, and the other is a copper alloy. Various process conditions are altered during testing to …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 4, Issue 1, 2026 · pp. 1–5 Read article
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Rethinking Stocking Density in Broilers: Assessments of Physiological, Behavioral, and Environmental Impacts
Abstract: High stocking density in broiler production is a common practice aimed at maximizing space utilization and economic returns. However, it poses significant challenges to the performance, health, and welfare of the birds. This study explores the multifaceted impacts of elevated stocking density on broiler chickens, highlighting the physiological, behavioral, and environmental factors that deteriorate their overall well-being. Increased stocking density is associated with reduced growth rates, poor feed conversion efficiency, …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 16, Issue 2, 2026 Read article
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Structural Behavior of Flexible and Semi-Rigid Beam-Column Joint Connections by FEM
Abstract: This study investigates the structural behavior of flexible and semi-rigid beam-column joint connections in cold-formed steel (CFS) structures, focusing on the use of Finite Element Modeling (FEM) to simulate their performance under various loading conditions. Traditional analysis methods often oversimplify beam-column connections, treating them as either perfectly rigid or fully flexible, which does not accurately capture real-world joint behavior. In reality, many beam-column joints exhibit semi-rigid characteristics, where the stiffness …
Published in Journal of Structural Engineering and Management · Vol. 12, Issue 3, 2025 Read article
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Implementing Machine Learning in Data Classification
Abstract: Data classification forms an essential aspect of artificial intelligence (AI) and soft computing, helping a great deal in the transformation of raw data into knowledge that forms the basis of numerous applications, such as fraud detection, medical diagnostics, and natural language processing. This study discusses the challenges and the state of the art in data classification, as far as scalability, noise handling, and feature selection optimization are concerned. It gives …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 2, 2025 · pp. 15–22 Read article
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Solar Thermal Energy Utilization: Design Innovations and Performance Enhancement Techniques
Abstract: The utilization of solar thermal energy has become increasingly significant in the pursuit of sustainable and low-carbon energy solutions. Unlike photovoltaic technologies that directly convert sunlight into electricity, solar thermal systems focus on harnessing solar radiation to generate heat, which can then be applied to diverse sectors such as water heating, space conditioning, industrial process heating, and power generation. In recent years, substantial research efforts have been directed toward enhancing …
Published in International Journal of Energy and Thermal Applications · Vol. 3, Issue 2, 2025 · pp. 1–5 Read article
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Design and Development of an Electromagnetic Propulsion Train
Abstract: The recent advancement of new transportation techniques led to the search for methods of propulsion that were superior to classical mechanical systems. Among these new moments, electromagnetic propulsion (EMP) has attracted attention because this technique allows for motion generation via electromagnetic force without using conventional wheel-based friction processing. The paper describes the conceptual design, principle of working and performance evaluation of a prototype model train to be propelled electromagnetically.The system, …
Published in Trends in Mechanical Engineering & Technology · Vol. 15, Issue 3, 2025 · pp. 19–24 Read article
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Statistical Modeling of Heat Transfer and Fluid Dynamics: Application in Mechanical Engineering Design
Abstract: Understanding and optimizing the intricate processes involved in heat transfer and fluid dynamics—two concepts essential to mechanical engineering design—require statistical modeling. Engineers can forecast, regulate, and enhance the performance of systems including heat exchangers, turbines, cooling mechanisms, and different fluid machinery by using statistical approaches. In order to address uncertainties, variability in material properties, boundary conditions, and operational parameters, this work investigates the integration of statistical modeling tools in the …
Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 2, 2024 · pp. 18–22 Read article
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Challenges in Parallel Computing for Big Data Analytics
Abstract: The integration of parallel computing into the realm of big data analytics promises accelerated processing speeds and enhanced scalability, but it is not without its formidable challenges. This study explores the multifaceted hurdles faced in the pursuit of efficient parallel processing for large-scale data analytics. The intricate task of distributing and partitioning massive datasets across multiple processing units demands adept strategies to ensure equitable workloads. Load balancing emerges as a …
Published in Recent Trends in Parallel Computing · Vol. 11, Issue 1, 2024 · pp. 1–6 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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Revolutionizing Wireless Communication: AI & ; ML in the Era of 6G
Abstract: With rapid technological advancement, sophisticated techniques are significantly enhancing the performance of wireless networks. In parallel, the growth of artificial intelligence (AI) has empowered systems to perform intelligent decision-making, automate processes, analyze data, generate insights, and predict future outcomes. AI systems are now capable of learning and adapting to dynamic environments. Particularly, machine learning and deep learning techniques have achieved remarkable success across a wide range of applications in recent …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 12, Issue 3, 2025 · pp. 29–36 Read article