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1927 articles for “ASME section IX and SA-516 M grade 380 (carbon steel)” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Marine Fungi – An Expandable Source for Production of Novel Bioactive Metabolites: A Comprehensive Review
Abstract: The marine environment, representing the largest and most extreme biome on Earth, serves as an unparalleled reservoir of biodiversity. Within this vast ecosystem, marine fungi have emerged as a prolific source of structurally diverse and pharmacologically active secondary metabolites. Dwelling in habitats characterized by extreme high salinity, high hydrostatic pressure, and low temperatures, these microorganisms have evolved unique biochemical and metabolic pathways to synthesize novel compounds, including pyrrole-imidazole alkaloids, cyclic …
Published in International Journal of Fungi · Vol. 3, Issue 1, 2026 · pp. 30–37 Read article
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Explainable Machine Learning for Process Parameter Optimization in Gradient 3D-Printed Polymer Composites
Abstract: The explainable machine learning-based structure may be employed to achieve a favorable process parameter of the graduate 3D-printed polymer composite structures to improve the mechanical and thermal properties without compromising the transparency of the decisions made during the fabrication process. Gradient composite specimens were made by systematically varied process parameters like nozzle temperature, raster orientation, deposition speed, gradient transition rate and fused filament fabrication. A predictive model of tensile strength …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 847–866 Read article
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Smart Monitoring and Controlling of the Battery and Motor
Abstract: The demand for effective battery and motor monitoring and management to guarantee dependability, safety, and peak performance has increased due to the quick development of electric vehicles and smart industrial systems. The smart monitoring and control methods used in battery management systems and motor control systems are thoroughly reviewed in this paper. In addition to speed, torque, efficiency, and fault situations in motors, it emphasizes important characteristics like temperature, voltage, …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 4, Issue 1, 2026 · pp. 11–15 Read article
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Image-Based Quantitative Mapping of Structure Property Relationships in Polymer Composite Materials
Abstract: The performance of polymer composite materials is intrinsically governed by their microstructural architecture, which is shaped by manufacturing conditions and constituent interactions. Despite extensive experimental characterization efforts, establishing transparent and quantitative structure–property relationships from microstructural images remains a challenge. In this study, an explainable image-driven framework is developed to systematically correlate microstructural features with composite property indicators. Microstructure images are processed to identify voids, fibers, and filler phases, from which …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 188–196 Read article
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Rumen Microbial Adaptation to Dietary Shifts: Mechanisms, Challenges, and Implications for Sustainable Ruminant Production
Abstract: Rumen microbiota play a central role in the digestion and fermentation of dietary components, directly influencing the health and productivity of ruminants. Dietary shifts, such as transitioning from forage-based diets to concentrate-rich diets or incorporating feed additives, induce significant changes in the composition, structure, and functional dynamics of the rumen microbial community. These adaptations, while essential for maintaining microbial homeostasis, can also lead to transient imbalances, including risks of acidosis, …
Published in Research & Reviews : Journal of Ecology · Vol. 15, Issue 1, 2026 · pp. 17–26 Read article
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Evaluating the Role of Pharmacists in Managing Antibiotic Use and Combating Multi-Drug Resistance in Hospital Settings
Abstract: Antibiotic resistance is now one of the crucial health issues of the world, especially in hospitals where high usage of antimicrobials is increasing the rate at which multi-drug resistant (MDR) organisms appear. Misprescription, extended treatment, and over-use of broad spectrum antibiotics play a large role in the development of resistance resulting in the growth of morbidity, mortality and health care expenditure. This review analyses the essentiality of pharmacists in controlling …
Published in International Journal of Antibiotics · Vol. 3, Issue 2, 2026 · pp. 12–19 Read article
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Multi-Criteria Assessment of Renewable Energy Technologies for Solar Buildings Using Waspas Method
Abstract: This research comprehensively evaluates renewable energy alternatives for solar buildings using the WASPAS multi-criteria decision-making framework. The analysis covers six distinct energy technologies: geothermal heat pumps, wind turbines, biomass heating systems, micro-hydro installations, fuel cells and building-integrated energy efficiency systems. These options are assessed against four key criteria: energy efficiency, economic viability, environmental sustainability and technical feasibility. The WASPAS methodology combines both summative and multiplicative techniques to produce reliable rankings. …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 17, Issue 2, 2026 Read article
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Design Strategies of Polymer Composite Components for Sustainable Renewable Energy Microgrids
Abstract: Increasing power demand and variable performance requirements in renewable-energy systems motivate integrating advanced polymeric and composite materials into microgrid components to improve reliability and performance. This paper presents a design and control framework for a standalone microgrid that couples power-electronic and energy-conversion subsystems with polymer-composite–based components to enhance durability, thermal management, and electromagnetic shielding. The microgrid uses a doubly fed induction generator (DFIG) for wind generation to enable independent active …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 63–71 Read article
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Effect of Silicon Carbide Filler on Mechanical and Damping Behavior of Basalt/Stainless Steel Hybrid Laminated Composites
Abstract: This study consolidates three experimental investigations on hybrid laminated composites reinforced with basalt fibre, stainless steel (SS) wire mesh, and silicon carbide (SiC) filler using vacuum infusion moulding. Three laminates were fabricated with filler variations of 0%, 1.5%, and 3% by weight of matrix material, maintaining a stacking sequence of [0B/0W/45B/0W/0B/45W]s with a thickness of 4–5 mm. The first investigation focused on impact strength. Drop-weight impact testing revealed a steady …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 367–385 Read article
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A Hybrid Mathematical Model for Epidemic Outbreak Forecasting Using Machine Learning and Cloud Computing
Abstract: The increasing frequency of infectious disease outbreaks has emphasized the necessity for intelligent epidemic surveillance systems capable of predicting disease spread at an early stage. Conventional outbreak detection approaches rely heavily on delayed statistical reporting and manual monitoring techniques, resulting in reduced responsiveness during critical periods. This paper presents a mathematical predictive framework for epidemic outbreak detection using machine learning and cloud computing technologies. The proposed framework integrates the Susceptible–Infected–Recovered …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 13, Issue 2, 2026 · pp. 01–06 Read article
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Leveraging AI and Machine Learning for Early Prediction and Prevention of Non- Communicable Diseases in Resource-Limited Settings
Abstract: Populations in these regions face persistent structural barriers, such as underdeveloped healthcare infrastructure, shortages of trained health professionals, and fragmented or incomplete health information systems. These limitations delay timely diagnosis, restrict access to preventive care, and compromise effective disease management. In recent years, rapid progress in artificial intelligence (AI) and machine learning (ML) has opened promising avenues to mitigate these challenges. Practical applications already emerging include mobile health platforms for …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 15, Issue 1, 2026 · pp. 9–15 Read article
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Reduction of Mutual Coupling Losses for Dual-frequency Patch Antennas Using Modified Microstrip I-Section
Abstract: AbstractIn this paper, a compact design using modified “I” shaped microstrip section between dual frequency patch antenna array to reduce mutual coupling is presented. Problem of performance degradation of an antenna has to be faced because of mutual coupling. The results of simulation show that coupling reduced from –11.3 to –7.91 dB at 2.40 GHz and from –18.3 to –14.70 dB at 4.5 GHz. Description of antenna design and results …
Published in Current Trends in Signal Processing · Vol. 8, Issue 1, 2018 · pp. 33–38 Read article
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An Improved Power Line Interference Reduction Approach Based on Combination of Mirror Extension and IIR filtering Through a Data Driven Mechanism
Abstract: Electrocardiogram (ECG) is a clinical sign monitoring measurement of the cardiac abnormalities. Like other biomedical signals, the ECG signal is also contaminated by various kinds of noise and artifacts such as power line interference, base line wandering, muscle artifacts and electrode artifacts. The present paper proposes a scheme for power line interference (PLI) reduction from ECG signal. It makes use of the concept of mirror method, empirical mode decomposition (EMD) …
Published in Current Trends in Signal Processing · Vol. 7, Issue 2, 2017 · pp. 13–21 Read article
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Synthesis, Characterization of Mesoporous Zeolite BEA and Its Application in Multicomponent Reactions
Abstract: Strongly acidic mesoporous zeolite beta (MZB or Beta/MCM-41composite) with bimodal pore structure and stepwise distributed acidity has been synthesized by novel route using zeolite BEA as silica-alumina source. The material was characterized by various techniques. Powder XRD showed the existence of well-structured microphase zeolite Beta and mesophase MCM-41 in the composite materials. The performance of the composite material as a catalyst was investigated for the synthesis of various biologically active …
Published in Journal of Catalyst & Catalysis · Vol. 1, Issue 3, 2014 · pp. 25–45 Read article
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Numerical Modeling of Elastoviscoplastic Material Model in Strain Space
Abstract: Conventional material non-linear analysis works with stress-space plasticity. It uses yield function, loading-unloading criteria, and flow rule in terms of stress parameters. It shows ambiguity in loading-unloading criteria for softening materials. During such situations, an alternative strain-space formulation becomes quite useful to carry out analysis of such materials. The viscoplastic response of materials requires the time integration of system of non-linear first order differential equations. In viscoplasiticy, the constitutive equation …
Published in Journal of Experimental & Applied Mechanics · Vol. 9, Issue 1, 2018 · pp. 9–14 Read article
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Mathematical Modelling of Electromagnetic Induction Coil gun for Non-Lethal Self Defence Applications
Abstract: To take someone's life is often termed as the biggest slanders spiritually one can commit be it while protecting one's self from endangering acts. Non-lethal weapons provide us with an opportunity to come over this dilemma thereby providing a numbing effect to save from devastating consequences. The objective of this paper is to present a non-lethal portable induction coilgun that can potentially address security concerns. To serve the respect and …
Published in Journal of Experimental & Applied Mechanics · Vol. 9, Issue 2, 2018 · pp. 66–73 Read article
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Experimental Investigation on Machining Characteristics of EN19 Alloy Steel Using CNC Vertical Machining Center
Abstract: In this research work, the detailed experimentation investigation was performed for EN19 steel using milling process on CNC VMC. The experimentation strategy has been planned using Taguchi’s L9 orthogonal array, consisting of three process parameters such as cutting speed, feed rate and depth of cut on material removal rate (MRR) and surface roughness (SR). Two different types of end mill cutters (solid carbide and titanium nitride coated carbide end mill) …
Published in Journal of Experimental & Applied Mechanics · Vol. 9, Issue 3, 2018 · pp. 91–101 Read article
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Management of Waste Generated in Steel Rerolling Industries of Nepal
Abstract: The study on nature and management of waste generated in iron & steel industries of Nepal provides an overview of the nature and type of waste generated and their current management practices. The purpose of the study was to identify the nature of waste generated in iron and steel industries of Nepal and recommend appropriate measures for its management. For this study, five iron & steel industries were visited to …
Published in Journal of Industrial Safety Engineering · Vol. 7, Issue 3, 2020 · pp. 1–7 Read article
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Optimization of Machining Parameters for Minimum Surface Roughness Indicators during the Turning of AISI 316 L Stainless Steel
Abstract: Turning is the most common process associated with the production of cylindrical shapes because of its simplicity, rapidity and economy. However, it is one of the most complex cutting processes. Turning is considered to be a complementary process of other more important processes, and yet 70% of the generated chip comes from this cutting technique. Quality plays important role in manufacturing industry. In on-line quality control, controller is provided with …
Published in Journal of Mechatronics and Automation · Vol. 7, Issue 1, 2020 · pp. 24–30 Read article
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Model Predictive Control for a Distillation Column Model
Abstract: Model Predictive Control (MPC) is a multivariable control (requires specific handling of each input as coupling and interaction is of a far greater effect) and uses the internal dynamic model of the process, past control moves and an optimization cost function over the receding prediction horizon, to calculate the optimum control moves. In this paper, the relation between MPC parameters was studied on process constraints. Conical tank level single-input-single-output (SISO) …
Published in Journal of Mechatronics and Automation · Vol. 1, Issue 3, 2014 · pp. 11–19 Read article