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981 articles for “material optimization”
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Stabilization of Reinforced Earth Wall Backfill Using Steel Slag and Recycled PET Fiber: A Composite Material Approach
Abstract: Reinforced Earth (RE) walls are widely used in infrastructure due to their structural efficiency and ease of construction. However, they typically require high-quality granular backfill, which may not be readily available or cost-effective in many regions. This study investigates the potential of utilizing locally available sandy clay soil stabilized with industrial and plastic waste materials specifically 20% steel slag and 0.75% shredded polyethylene terephthalate (PET) fibers, as an alternative backfill …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 110–127 Read article
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Innovative Design and Implementation of PCD-Based Drawing Dies and Tungsten Carbide Molds for Automotive Fastener Manufacturing
Abstract: This study presents an integrated engineering investigation into the design, optimization, and implementation of advanced tungsten carbide and polycrystalline diamond (PCD) tooling technologies within the cold forging and wire drawing processes at Koobesh Kavir Semnan Company, one of Iran’s leading automotive fastener manufacturers. By combining powder metallurgy principles, material flow simulation, and experimental validation, this research introduces a technological advancement that improves productivity, tool longevity, and cost-efficiency in industrial production. …
Published in Journal of Materials & Metallurgical Engineering · Vol. 15, Issue 3, 2025 · pp. 16–26 Read article
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A Decade of Research on Polymer Manufacturing and Industry 4.0 Integration: A Comprehensive Bibliometric Review of Industry
Abstract: The advent of Industry 4.0 has brought a transformative revolution to the manufacturing sector by integrating advanced polymer technologies with intelligent, interconnected, and data-driven production systems. These developments have significantly reshaped industrial operations by improving efficiency, enhancing production flexibility, and enabling innovative manufacturing practices. Smart polymer processing, supported by automation, artificial intelligence, the Internet of Things (IoT), and real-time data analytics, allows manufacturers to optimize resource utilization, reduce waste, and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1897–1905 Read article
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Effective FPGA Implementation of Comb Filters to Improve Perception of Sensorineural Hearing Impaired
Abstract: AbstractIn this paper, effective method for implementation of comb filter on FPGA platform has been proposed. This work is intended for hearing aid to be used for people suffering from sensorineural hearing loss. The algorithmic implementation on FPGA is intricate during the design process. Here we propose effective and simplified approach for implementation of comb filter with 512 coefficients using Spartan-6 FPGA for dichotic presentation. The design of comb filter …
Published in Current Trends in Signal Processing · Vol. 7, Issue 3, 2017 · pp. 15–29 Read article
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Advancing Automotive Design Through Virtual Prototyping and Finite Element Analysis
Abstract: Finite element analysis (FEA) and virtual prototyping are being incorporated, which is transforming the automotive sector. The design process is being revolutionized by emerging technologies, as this essay discusses, leading to automobiles that are more innovative safe, and efficient. With the help of virtual prototyping, engineers may construct, evolve, and optimize vehicle designs in an electronic environment, saving a lot of time and resources. This strategy is further enhanced using …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 1, Issue 1, 2023 · pp. 7–12 Read article
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Simulation and Experimental Analysis of Abuse Testing for Prediction of Life Cycle for Lithium Ion Battery Cell and Pack Level
Abstract: Lithium-ion batteries play a crucial role in contemporary technology, serving as the power source for everything from consumer gadgets to electric vehicles. However, their safety and longevity are significant influenced by the reperformance under extreme conditions, commonly referred to as ab use testing .This paper explores the simulation and analysis of ab use testing and life cycle prediction for lithium-ion batteries at both the cell and pack levels. Abuse testing …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 2, Issue 2, 2024 · pp. 1–24 Read article
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Optimization Of Solar Drying Parameters for Turmeric and Papaya Leaves: Effects on Nutritional and Bioactive Compound Retention
Abstract: This study focuses on the optimization of solar drying parameters for turmeric and papaya leaves, based on their impact on retention of nutritional and bioactive compounds. One of the most crucial postharvest procedures is solar drying as it decreases the moisture content in plant materials, thereby increasing shelf life and preserving quality. This study considers traditional methods as open sun drying (OSD) and advanced solar dry techniques, including Hybrid Indirect …
Published in International Journal of Electrical Power and Machine Systems · Vol. 3, Issue 1, 2025 · pp. 29–37 Read article
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Sensors-Based Electric Machine Design for Industry
Abstract: The integration of advanced sensors is fundamentally changing the economics and reliability of electric machines. It moves design focus from minimizing material cost and adhering to conservative standards toward maximizing operational availability and energy efficiency. In the industry of tomorrow, the electric motor will not be a passive collection of coils and steel, but a self-diagnosing, self-optimizing, and perhaps even self-healing asset—a sentient motor—driven by its highly refined sixth sense, …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 4, Issue 1, 2026 · pp. 1–10 Read article
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An AI-Driven IoT Framework for Autonomous Quality Assurance in Optical Lens Manufacturing
Abstract: The evolution of high-precision optics—ranging from smartphone micro-lenses to high-end astronomical glass—demands unprecedented accuracy in manufacturing. Traditional inspection methods, reliant on manual sampling or static automated optical inspection (AOI), often fail to bridge the gap between high-speed production and the detection of microscopic surface aberrations. This paper introduces an integrated architecture combining the Internet of Things (IoT) and Deep Learning-based decision-making systems to revolutionize lens quality control. By deploying an …
Published in International Journal of Optical Innovations & Research · Vol. 4, Issue 1, 2026 · pp. 36–41 Read article
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Design and Comparative Analysis of UAV Body Prototype with ABS and CF + ABS as Structural Materials
Abstract: The small multi-rotor helicopters called drones consist in a fuselage “hanged” under a set of fixed pitch propellers each powered by an electric motor. These vehicles have great potentials and research in this topic is increasing aimed to reduce the structure weight to maximize flight time, range and payload. Multiple complex components involved in a single prototype in these vehicles put up a key challenge for 3D modelling, optimization and …
Published in Journal of Experimental & Applied Mechanics · Vol. 11, Issue 3, 2020 · pp. 1–12 Read article
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Neuromorphic Self-Learning Polymer–MXene Photovoltaic Composites with Embedded Memristive Energy Routing for Adaptive Solar Energy Harvesting
Abstract: This dynamic and fast-growing intelligent renewable energy system requires photovoltaic materials that can autonomously adapt to fast-changing environmental conditions. In this study, a novel system is proposed for adaptive harvesting of solar energy based on Neuromorphic Self-Learning Polymer–MXene Photovoltaic Composites (NSPMPCs) with embedded memristive energy routing networks. To boost the charge generation and charge transport in the polymer–MXene heterostructure, the flexibility and processability of conductive polymers are integrated with the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 453–488 Read article
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Green Fabrication of Glutaraldehyde-Crosslinked Chitosan/PVA Biocomposite for Heavy Metal Removal from Wastewater
Abstract: Chitosan (CS) and Polyvinyl alcohol (PVA) are polymers that possess biodegradable, biocompatible, and non-toxic properties, making them suitable for wastewater treatment applications. The primary objective of this research is to chemically modify chitosan in a novel manner to enhance its ability to remove hexavalent chromium Cr(VI) from aqueous solutions. In this study, a composite material was synthesized by crosslinking PVA and CS with glutaraldehyde (GA), resulting in the formation of …
Published in Journal of Water Pollution & Purification Research · Vol. 12, Issue 3, 2025 · pp. 59–83 Read article
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Parametric Studies of Natural Dyes in Dye Sensitized Solar Cells
Abstract: Natural dyes used in dye sensitized solar cells (DSSCs) are low cost viable substitute to high cost ruthenium dyes because of its easy availability and no environment threat. Parametric studies of natural dyes in dye-sensitized solar cells (DSSCs) are essential for optimizing the performance of these renewable energy devices. One kind of thin-film solar cell called a DSSC uses organic dyes to absorb sunlight and turn it into electrical energy. …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 121–132 Read article
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Assessment of Clayey Soils and Bentonite to Use as Compacted Clay Liner for the Disposal of Municipal Solid Wastes at Lucknow City, India
Abstract: Dumping of municipal solid wastes in a pit without liner causes groundwater contamination. Use of locally available clayey soils will be a cost-effective landfill technique. Mixing of locally available soils with bentonite reduces the permeability. To develop the liner for the disposal of municipal solid wastes generated from Lucknow city, India, the soil samples were collected from three different locations as nearby the Sagar Institute, Barabanki district; near railway crossing, …
Published in Journal of Geotechnical Engineering · Vol. 12, Issue 3, 2025 · pp. 62–71 Read article
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Design and Performance Analysis of Microwave Filters and Resonators for High-Frequency Systems
Abstract: Microwave filters and resonators are fundamental components in high-frequency systems, playing a crucial role in signal selection, interference suppression, and frequency stabilization. This review presents a detailed analysis of design methodologies and performance characteristics of microwave filters and resonators used in modern communication and radar applications. Various filter topologies, including low-pass, high- pass, band-pass, and band-stop configurations, are examined with respect to their frequency response, insertion loss, selectivity, and bandwidth. …
Published in Journal of Microwave Engineering and Technologies · Vol. 13, Issue 1, 2026 · pp. 8–16 Read article
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Artificial intelligence-integrated nanobiotechnology for precision medicine, smart diagnostics, and sustainable environmental applications
Abstract: Background: Nanobiotechnology integrates nanoscale materials with biological systems, enabling breakthroughs in drug delivery, biosensing, and environmental monitoring. However, the complexity of biological interactions and the vast parameter space of nano‑bio interfaces limit conventional design. Artificial intelligence (AI) offers powerful tools for modelling, predicting, and optimising these systems.Objective: This review provides a systematic, STM‑compliant overview of AI‑integrated nanobiotechnology across three domains: precision medicine (AI‑optimised nanocarriers, personalised therapeutics), smart diagnostics (AI‑powered nano‑biosensors, …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 28, Issue 2, 2025 Read article
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Experimental Study on the Effects of Hair Fibre Waste in Concrete
Abstract: Increase in construction activities has resulted in consumption of basic ingredients of concrete. Also, there has been an enormous increase in the quantity of human hair waste generated especially from the religious cities. In low densely populated areas, hair waste is discarded in openly in nature where it takes many years to decompose eventually returning the constituent elements, namely, carbon, nitrogen, sulphur, causing the ecological imbalance. In high densely populated …
Published in Journal of Construction Engineering, Technology & Management · Vol. 6, Issue 2, 2016 · pp. 58–61 Read article
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Revolutionizing Low Carbon Concrete: Innovations at the Nexus of Computational Science, Data Analytics, and Sustainable Technologies
Abstract: Concrete production accounts for 7% of global CO2 emissions necessitating low carbon innovations to curb exponential demand threatening climate commitments. This research reviews sustainable construction literature integrating computational simulations, big data infrastructure monitoring and alternative process redesign. Analysis reveals 30-50% reductions achievable through combined use of industrial ecologies, smarter sensing coordinated with ML optimization and novel binders like alkali-activated geopolymers. Rigorous LCA quantification verifies environmental superiority over conventional formulations. Case …
Published in Journal of Construction Engineering, Technology & Management · Vol. 13, Issue 3, 2023 · pp. 16–23 Read article
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Design and Optimization of Mono Composite Leaf Spring: A Review
Abstract: Leaf spring is generally used for suspension system in various automobile industries. Due to its heavy weight, it increases the weight of automobile vehicles. Because of this problem, the automobile industry has shown interest in the replacement of conventional leaf spring with composite leaf spring causing high strength to weight ratio, higher stiffness, and high impact energy absorption and lesser stresses. The introduction of composite materials has made it possible …
Published in Journal of Automobile Engineering and Applications · Vol. 4, Issue 1, 2017 · pp. 25–28 Read article
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Machine Learning-Based Quantification of Polymer Structure Property Relationships for Predictive Material Design
Abstract: Polymer structures exhibit complex, hierarchical arrangements that strongly influence macroscopic properties, yet consistent quantification remains challenging due to nonlinear interactions and limited unified modeling strategies. Existing approaches inadequately capture generalized structure–property mappings across diverse polymer systems. This research aims to establish a machine learning-based quantification model for polymer structure–property relationships to support predictive material design. A Polymer Structure Property Dataset of 5,000 polymer samples includes structural descriptors and experimentally measured …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 737–754 Read article