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1962 articles for “Al-6061-TiB2, metal matrix composite, stir casting, microstructure” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Artificial Neural Network Based Prediction of Impact Loads and Thickness in CFRP and GFRP Composite Laminates
Abstract: Recent technological advancements, particularly the integration of neural networks, have facilitated a predictive approach to complex engineering problems, especially those involving composite materials with directional properties. The scarcity of literature on predicting impact damage using experimental and ultrasonic flaw detection data motivated this study. Experimental assessment of impact damage on carbon fiber/epoxy (CFRP) and glass fiber/epoxy (GFRP) composites was conducted using low-velocity drop weight impact testing. Damage assessment employed an …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 2, Issue 1, 2024 · pp. 34–45 Read article
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Bacteriophage Therapy in Dairy Farming: A Potential Alternative to Antibiotics
Abstract: The widespread use of antibiotics in dairy farming to control bacterial infections has led to significant challenges, including the emergence of antibiotic-resistant bacteria and concerns over antibiotic residues in milk. Consequently, there is an increasing demand for alternative approaches to control bacterial infections in dairy cattle. One promising solution is bacteriophage therapy, which uses viruses that selectively infect and destroy bacteria. As a result, the need for new strategies to …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 13, Issue 2, 2024 · pp. 1–5 Read article
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Nanotechnology and Nanoparticles for High Altitude Agro-ecosystem and Environmental Sustainability
Abstract: High-altitude agro-ecosystems are widely distributed throughout the world. In the Indian subcontinent, Himalayan region represents the high-altitude ecosystems, which demand extensive management due to their increasing deterioration in recent times. The extremely low temperature, proneness to natural calamities, recurring floods, droughts, low soil moisture and fertility, high solar intensity impose constraints for sustenance of hill agriculture. To enhance crop productivity to sustain increasing population, hill farmers are using excessive amount …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 155–164 Read article
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Commercialization of Smart Polymers in Advanced Composite Structures for Industrial Applications
Abstract: The commercialization of smart polymers in advanced composite structures represents a significant rise in material science, particularly for industrial applications. These smart polymers show unique properties such as self-healing, shape memory, & responsiveness to environmental disturbances, making them ideal for a wide range of applications. In this paper, the researcher explores the advancements in developing and applying smart polymers within composite structures, focusing on their potential. Revolutionize industries like atmosphere, …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 70–81 Read article
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Ethanol or EV - The Future Alternative for India's Automotive Energy Industry
Abstract: The research paper compares economic performance before deciding on whether to choose ethanol or electric cars against petroleum products in India. For India's serious air pollution problems, energy security concerns and rapid urbanization, it is important changing to sustainable transport modes. This study examines how India’s policies concerning EVs and ethanol, market trends for these vehicles as well as technological advancement would promote them as cleaner alternatives to vehicles using …
Published in Journal of Automobile Engineering and Applications · Vol. 11, Issue 3, 2024 · pp. 38–51 Read article
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Multiple Disease Prediction Using Machine Learning Algorithms
Abstract: The incorporation of machine learning algorithms into healthcare has transformed disease prediction and diagnosis. This research introduces a method for predicting various diseases using machine learning techniques. A comprehensive dataset, consisting of patient records, medical histories, and key disease-related features, was utilized to build predictive models. Data preprocessing methods, including feature selection and normalization, were implemented to clean and prepare the dataset. Several machine learning algorithms, such as Decision Trees, …
Published in Research and Reviews : A Journal of Immunology · Vol. 14, Issue 3, 2024 · pp. 34–38 Read article
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Investigation of Electronic Transport in Li2O and ZnO Nanoparticles Containing Polypyrrole Systems
Abstract: Polypyrrole systems having nanocrystalline ZnO and Li2O with different compositions (PPy50 + Li2Ox + ZnO(50-x), where x = 0, 2, 4, 6, 8, and 10) have been produced by ball milling. compositions of the type The temperature-dependent DC conductivity of each sample was determined in the temperature range of 313 K to 363 K. The conductivity studies show that Polaron hopping was the conducting mechanism in the material composites. The …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 88–95 Read article
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New Insight into the Composition and Structure of Sizing Agent from NMR Spectroscopy
Abstract: Sized carbon fibers (CFs) are of commercial significance as they form the main load-bearing component in advanced materials, namely, carbon fiber-reinforced plastics (CFRPs). Much of the knowledge of sizing composition and the process of sizing is a subject of intellectual property rights owing to its commercial relevance. In this original research article, deeper insights into the structure and composition of the sizing agent used for the surface modification of commercial …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 2, Issue 2, 2024 · pp. 06–23 Read article
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Encoding-Decoding Algorithm Using the Catalan Transform of Weighted Tribonacci Sequence
Abstract: In order to improve information security, this paper presents a unique algorithm for encoding and decoding messages utilizing the Catalan Transform of a Weighted Tribonacci Sequence. Utilizing the Catalan and Tribonacci sequences, the methodology combines the concepts of number theory and combinatorics to create an effective encryption and decryption process. First, an array is created by mapping each character in the plaintext message to its corresponding ASCII value. The ASCII-weighted …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 11, Issue 3, 2024 · pp. 12–16 Read article
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Comparison of 11-Atom Armchair Graphene Nanoribbons and Zig-Zag Carbon Nanotubes in Polymer Composites Under Various Bias Voltages: A Study of Electronic and Transmission Properties
Abstract: In this research, 11-atom zig-zag carbon nanotubes (ZCNTs) and 11-atom armchair graphene nanoribbons (AGNRs) were studied under applied bias voltages at 50, 150, and 300 millivolt levels. The focus was on understanding their behaviour concerning transmission qualities, current-voltage (I-V) characteristics, and energy-momentum (E-K) diagrams. The Non-Equilibrium Green's Function (NEGF) approach was employed to analyse various electronic properties for ZCNTs and AGNRs, including transmission, E-K relationships, and I-V characteristics. The results …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 126–134 Read article
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Impact of Adaptive Learning, LMS, and Personalized Skill Development on Industry Recruitment Alignment
Abstract: This paper discusses the impact of adaptive learning on the development of skill and self-learning, and it portrays a methodology framework to design an adaptive learning system that works with industry recruitment objectives. The paper distinguishes different approaches to learning, namely teacher-centric and student-centric, rigid and adaptive, competitive and collaborative, and explains that each learner has their own learning style, preference, and level of knowledge and skill acquisition. The paper …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 12, Issue 1, 2025 Read article
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Study Review: Molecular Mechanisms of Nanoparticle-Cell Interaction – Implications for Drug Delivery and Toxicity
Abstract: The application of nanoparticles in drug delivery and biomedical therapies holds great promise, yet their interaction with cells and the underlying molecular mechanisms remains areas of active research. This study explores the molecular mechanisms of nanoparticle-cell interactions, focusing on the effects of gold nanoparticles (AuNPs) and silica nanoparticles (SiNPs) in human cancer cell lines (HeLa and MCF-7). The study examines how nanoparticles are internalized by cells, their impact on cellular …
Published in Research and Reviews: A Journal of Toxicology · Vol. 15, Issue 2, 2025 · pp. 31–40 Read article
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ANN Approach to Forecasting the Strength of Nano Silica Incorporated Geopolymer Composite
Abstract: Coal and steel industry by-products, such as fly ash (FA) and blast furnace slag (GGBS), have gained significant attention as precursors for geopolymer concrete (GPC) due to their high aluminosilicate content, offering a sustainable alternative to conventional cement. Nano silica (NS), recognized for its exceptional pozzolanic activity and ability to refine microstructure, has shown potential to enhance the mechanical and durability properties of GPC. This study investigates the influence of …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 267–278 Read article
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Integration of Revit to Microsoft Project for Construction Project Management: A Comparative Analysis of Scheduling and Resource Allocation
Abstract: Building Information Modelling (BIM) has revolutionized the construction sector by having architectural, structural, and mechanical design on one 3D platform. Autodesk Revit application enables real-time updates and changes without increasing errors and omissions. Its parametric nature allows users to develop intelligent models, enhancing decision-making, resource allocation, and cost estimation. Revit's visual representation allows effective coordination and communication with stakeholders, promoting a higher degree of client satisfaction. The application and benefits …
Published in Journal of Construction Engineering, Technology & Management · Vol. 15, Issue 3, 2025 · pp. 13–46 Read article
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Critical Review on Basalt Fibre as Reinforcement in Different Applications
Abstract: Basalt fiber (BF), derived from volcanic rocks, has emerged as an attractive reinforcement material due to its remarkable properties, including high strength, stiffness, thermal stability, and eco-friendliness. This review critically examines the applications of BF as reinforcement in various fields, such as civil engineering, aerospace, automotive, and biomedical sectors. The performance of BF-reinforced composites in terms of mechanical, thermal, electrical, and biological properties is evaluated. The challenges and opportunities associated …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 670–685 Read article
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Adaptive E-Learning Algorithms and Heutagogy: A Systematic Analysis
Abstract: The proliferation of artificial intelligence (AI) and machine learning (ML) technologies has transformed the digital education landscape by enabling adaptive e-learning systems capable of personalizing content and optimizing learning paths. This study provides a systematic analysis of adaptive e-learning algorithms within the framework of heutagogy, an educational paradigm that emphasizes learner autonomy, self-direction, and capability development. The convergence of adaptive technologies with heutagogical principles offers new avenues for creating more …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 · pp. 33–38 Read article
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Development and Characterization of Bottom Ash–Fly Ash–GGBS-Based Geopolymer Composites for Sustainable Applications
Abstract: The growing demand for sustainable construction materials has spotlighted geopolymer concrete (GPC) as an environmentally viable substitute for conventional cement-based systems. This study presents an innovative dual-waste valorization approach, integrating pulverized bottom ash (BA) and ground granulated blast furnace slag (GGBS) as binders while replacing sodium silicate (Na₂SiO₃) in the alkaline activator with treated textile effluent. Unlike prior works that focus solely on solid waste incorporation, this research pioneers the …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 32–42 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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Predictive Maintenance Strategies for Safety-critical Mechanical Systems
Abstract: Ensuring the reliability and safety of industrial systems is essential, especially in high-risk sectors such as aerospace, manufacturing, and energy. Predictive maintenance (PdM) has become a crucial approach for minimizing operational failures and improving maintenance efficiency. This research introduces an advanced PdM framework that enhances industrial safety by integrating Internet of Things (IoT) technology, machine learning (ML), and big data analytics. By enabling real-time monitoring and predictive fault detection, this …
Published in Journal of Industrial Safety Engineering · Vol. 12, Issue 1, 2025 · pp. 12–17 Read article
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Molecular Docking-Based Analysis of Rauvolfia serpentina Alkaloids Targeting HPV E1 and L1 Proteins for Antiviral Therapeutic Potential
Abstract: Human papillomavirus (HPV) is a major cause of cervical cancer and other epithelial cancers. E1 and L1 proteins are crucial to the virus's lifespan. E1 is a viral helicase that is needed for HPV DNA replication, and L1 is the main structural capsid protein that builds the virion and infects target cells. Going after these proteins is a good way to stop viruses from spreading. In this case, Rauvolfia serpentina, …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 17, Issue 1, 2026 · pp. 100–113 Read article