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1843 articles for “Composites”
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Aspen HYSYS Simulation of Suspension (Slurry) Process for the Production of Polyethylene
Abstract: AbstractThis study deals with the steady state simulation of polyethylene plant using Aspen HYSYS V10 simulation model. Looped reactor model is used to mimic the behaviour of the suspension (slurry) polymerization process. Effect of various operating conditions like the inflow rate of the monomer ethylene on solvent, catalyst, co-monomer and hydrogen flow rate are studied. Model predicted that the change in monomer flow rate linearly affected the process variables. Keywords: …
Published in Journal of Polymer & Composites · Vol. 6, Issue 3, 2018 · pp. 31–34 Read article
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Property Estimation of Polymers: A Review
Abstract: AbstractPolymer production processes are facing the problems of optimization of production rate, increasing yield, waste minimization and environmental issues and product quality problems. These issues can be solved by designing efficient polymer manufacturing processes. Accurate properties of polymers are very important in designing efficient processes. Hundreds of property estimation methods are available for property estimation of polymers but the selection of the suitable property model is a challenging task. One …
Published in Journal of Polymer & Composites · Vol. 6, Issue 3, 2018 · pp. 14–24 Read article
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Statistical and AI Approaches to Measure Sustainability Performance of Enterprises
Abstract: Measuring sustainability performance has become a critical priority for enterprises facing increasing regulatory pressure, stakeholder expectations, and global sustainability challenges. Traditional assessment methods, largely based on static indicators and manual reporting, often struggle to capture the multidimensional, dynamic, and data-intensive nature of sustainability. This study explores the integration of statistical and artificial intelligence (AI) approaches to evaluate and enhance the sustainability performance of enterprises in a more robust, accurate, and …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 1, 2026 · pp. 30–36 Read article
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Myco-Engineering Systems: Harnessing Fungal Networks for Carbon Sequestration and Sustainable Ecosystem Restoration
Abstract: Fungal organisms play a foundational role in global ecosystem stability, particularly through their contributions to nutrient cycling, soil regeneration, and carbon sequestration. Recent scientific advances have highlighted the potential of fungal mycelial networks as natural bioengineered systems capable of supporting sustainable environmental restoration. This paper introduces the concept of Myco-Engineering Systems, an interdisciplinary framework that integrates fungal biology, environmental science, and artificial intelligence (AI) to enhance carbon capture and ecosystem …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 16, Issue 2, 2026 · pp. 11–22 Read article
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Review and analysis of the Programmable Tungsten Inert Gas Welding Machine
Abstract: The purpose of this study is to examine metal inert gas (MIG) and tungsten inert gas (TIG) welding processes. This study focuses on welding defects with various kinds of AISI- 1020 mild steel welding joints when using metal inert gas (MIG) and tungsten inert gas (TIG). The impact of different process variables on mild steel welding was looked into. In this study, the main process parameters were changed, and destructive …
Published in International Journal of Manufacturing and Production Engineering · Vol. 4, Issue 2, 2026 Read article
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Recent Advances in Polymer-Based Thermal Management Technologies for Hybrid PV/T Solar Desalination Systems: A Critical Review
Abstract: Hybrid photovoltaic-thermal (PV/T) desalination systems are being developed as a new approach that not only generates clean water but also harnesses solar energy. While tremendous progress has been made in terms of design, the thermal management of PV/T desalination systems still poses several problems, such as heat generation, temperature non-uniformity, and inadequate thermal energy storage, all of which adversely affect the efficiency of electricity generation and clean water production. In …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 921–931 Read article
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Polymeric Microfluidic Chips for Rapid Point-of-Care Diagnostic Testing
Abstract: Polymeric microfluidic chips have emerged as promising platforms for rapid point-of-care (POC) diagnostic testing by integrating sample preparation, fluid manipulation, biochemical reactions, and signal detection within compact and potentially low-cost devices. Their compatibility with materials such as polydimethylsiloxane (PDMS), polymethyl methacrylate (PMMA), cyclic olefin copolymer (COC), polystyrene (PS), polycarbonate (PC), and polymer–paper composites provide considerable flexibility in device design and manufacturing. Advances in soft lithography, injection moulding, hot embossing, laser …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Artificial Intelligence for Tracking Cognitive Deviation in Aging Populations: A Comprehensive Review of Techniques, Challenges, and Ethical Concerns
Abstract: Population aging is accelerating worldwide, and with it the burden of cognitive health conditions such as mild cognitive impairment (MCI), Alzheimer’s disease (AD), and dementia. Detecting and monitoring cognitive change early is central to timely intervention, yet conventional diagnostic tools often miss the subtle signals that appear before overt symptoms. Artificial intelligence (AI) has emerged as a promising complement to clinical assessment because it can work through high-dimensional data and …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 2, 2026 · pp. 27–37 Read article
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Crystallization Kinetics and Morphological Shifts in Polylactic Acid/Nanocellulose Blends Under Isothermal Melt Conditions
Abstract: The great potential of polylactic acid as a sustainable biopolymer for packaging, biomedical materials, and additive manufacturing, polylactic acid's slow crystallization kinetics during melt processing causes it to be poorly crystallized, thermally weak, and mechanically underperforming. Crystallization models of PLA/nanocellulose blends have been limited to isothermal melt crystallization kinetics and the resulting morphological changes. The phenomena discussed in this work are systematically explored by melt compounding of polylactic acid with …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Production of Oil from Agro Seeds using Mechanothermal Extraction: A Review of Chemical, Pharmaceutical, and Food Applications
Abstract: The increasing demand for sustainable raw materials and renewable industrial resources has intensified research into the extraction of oils from agro seeds for chemical, pharmaceutical, and food applications. Agro-seed oils are valuable due to their biodegradability, nutritional composition, eco-friendliness, and wide industrial applicability. This review examines the production of oil from agro seeds using mechanothermal extraction techniques with emphasis on extraction efficiency, physicochemical characteristics, and industrial utilization. Mechanothermal extraction combines …
Published in Journal of Catalyst & Catalysis · Vol. 13, Issue 2, 2026 · pp. 09–26 Read article
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Fractional Riemannian Fuzzy C-Means with Time-Series Regularization for Economic Manifold Forecasting
Abstract: A fractional Riemannian fuzzy c-means framework is proposed for uncertain economic forecasting on non-Euclidean data domains. Observations are represented on a Riemannian manifold, cluster centres are intrinsic prototypes, and a latent fuzzy regime signal is regularised by both autoregressive and fractional-memory penalties. The resulting objective couples geometric clustering with time-series consistency, thereby discouraging partitions that are locally plausible but temporally incoherent. Closed-form membership updates, exponential-map centre updates, normal equations for …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 49–55 Read article
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Triboelectric Charge Density Enhancement in Zinc Oxide Decorated Polymer Nanogenerators for Energy Harvesting Systems
Abstract: The growing need for wearable electronics, wireless sensor networks, and IoT devices has pushed research on triboelectric nanogenerator for long-term energy harvesting. However, traditional polymer-based TENGs' low triboelectric charge density restricts their energy conversion efficiency and practical performance. This research presents a zinc oxide (ZnO)-decorated polymer triboelectric nanogenerator designed to enhance surface charge density and improve electrical output. ZnO nanoparticles were synthesized using a hydrothermal method and uniformly deposited onto …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Development of Multilayer Metallic Coatings with Graded Interfaces for Enhanced Wear and Fatigue Resistance in Aerospace Components
Abstract: This study presents a comprehensive investigation into the development and characterization of multilayer metallic coating systems with compositionally graded interfaces, specifically engineered to enhance wear and fatigue resistance in aerospace structural and rotating components. Four coating architectures were systematically designed: (i) CrN/TiAlN bilayer, (ii) TiN/TiAlN/TiAlSiN gradient trilayer, (iii) CrAlN/AlCrN nanolaminate, and (iv) a novel five-layer CrN–TiN–TiAlN–AlCrN–TiAlSiN functionally graded system (FGS). Coatings were deposited via high-power impulse magnetron sputtering (HiPIMS) and …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 13, Issue 2, 2026 · pp. 50–67 Read article
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AI-Driven IoT Ecosystems for Real-Time Thermo-Chemical Decision Making
Abstract: The efficient management of thermo-chemical processes is a critical challenge in modern industry, where maintaining precision, operational safety, and energy efficiency directly influences productivity and sustainability. The convergence of the Internet of Things (IoT) and Artificial Intelligence (AI) has transformed conventional industrial systems into intelligent, data-driven environments capable of continuous monitoring, predictive analysis, and autonomous decision-making. By integrating interconnected sensors, edge computing, cloud platforms, and advanced machine learning algorithms, industries …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 4, Issue 2, 2026 · pp. 10–15 Read article
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Role of Artificial Intelligence in Quantum Materials Research
Abstract: Quantum materials have emerged as a transformative class of advanced materials due to their extraordinary electronic, magnetic, optical, and topological properties governed by quantum mechanical phenomena. These materials are expected to revolutionize next-generation technologies such as quantum computing, spintronics, superconducting electronics, nanoelectronics, intelligent sensing systems, and energy-efficient devices. However, conventional methods for discovering and optimizing quantum materials are often expensive, time-consuming, and computationally intensive because of the enormous complexity of …
Published in Journal of Materials & Metallurgical Engineering · Vol. 16, Issue 2, 2026 · pp. 13–27 Read article
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Analytical Examination on the Characterization of Wood Materials for Biohydrogen Production
Abstract: Investigation was carried out with the aim to characterized some of wood materials obtained in Rivers State of Nigeria. The wood samples considered are Agba, Mahogany and Ako, in which the obtained result demonstrates variation in the ultimate composition as well as relative hydrogen gas produced with the action of anaerobic organisms, especially, for the fermented process. The production of the biohydrogen gas from each of the wood material sampled …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 17, Issue 2, 2026 · pp. 59–64 Read article
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Implement Artificial Intelligence and Machine Learning for Engineering Design, Predictive Modeling, and Optimizing Polymer Nanocomposites
Abstract: Polymer nanocomposites are high performance engineered materials obtained by inclusion of nano-sized fillers into the polymer matrix to enhance mechanical, thermal, electrical, barrier and functional properties. However, the complex and non-linear interactions among polymer chemistry, nanofiller characteristics, filler concentration, dispersion, interfacial bonding and processing conditions make it challenging to anticipate and maximize their properties. Artificial intelligence (AI) and machine learning (ML) offer powerful data-driven solutions to these difficulties by establishing …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Proteins: Structure, Functions, Sources, Types, Advantages and Biological Importance
Abstract: Proteins are essential biological macromolecules composed of amino acids linked by peptide bonds and folded into specific three-dimensional structures. Their structural organization is closely associated with their biological functions, including structural support, catalysis, transport, regulation, defense, movement and storage. This review summarizes the basic features of proteins, including amino-acid composition, levels of structural organization, classification, major biological functions and important dietary sources. It also discusses the relationship between amino-acid sequence, …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 4, Issue 2, 2026 Read article
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Ghee: Traditional and Industrial Production, Nutritional Value, and Health Effects
Abstract: Ghee is a highly clarified form of butterfat that has been widely used as an important culinary ingredient in South Asian households and traditional practices. This study provides a comprehensive overview of ghee, focusing on its production, characteristics, nutritional composition, major commercial brands, and potential effects on human health. Ghee is produced through the concentration of milk fat, followed by heat clarification and the removal of moisture and milk solids. …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 15, Issue 2, 2026 · pp. 34–41 Read article
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Whey Valorization in the Dairy Industry: Emerging Technologies and Value-Added Applications
Abstract: Whey is a major by-product of the dairy industry generated during the manufacture of cheese, casein, and other dairy products. Despite being traditionally considered a waste stream, whey contains valuable nutrients, particularly high-quality proteins, lactose, minerals, vitamins, and bioactive compounds, making it an important resource for sustainable food production. Improper disposal of untreated whey can create significant environmental concerns because of its high organic load. Whey valorization, therefore, provides an …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 15, Issue 2, 2026 · pp. 42–49 Read article