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460 articles for “parameter optimization”
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Influence of Nozzle Temperature, Nozzle Diameter, and Layer Height on Tensile and Hardness Characteristics of 3D Printed CF-PLA
Abstract: This research investigates the mechanical characterization of CF-PLA (Carbon Fiber-reinforced Polylactic Acid) composite material produced using Fused Deposition Modeling (FDM) technology. The study investigates the impact of different machine parameters, like nozzle temperature, nozzle diameter, and layer height, on the tensile property and hardness of CF-PLA specimens. A total of 27 samples were produced, each with different combinations of nozzle temperature (190°C, 200°C, and 210°C), nozzle diameter (0.4mm, 0.5mm, and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 674–681 Read article
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Optimized Utilization of Kota Stone Slurry Waste in Fly Ash–Based Geopolymer Mortar: A Taguchi-Driven Approach
Abstract: The large-scale generation of stone-processing wastes presents a critical sustainability challenge and an opportunity for value-added reuse in construction materials. This study develops a high-performance fly ash geopolymer mortar by partially replacing Class F fly ash with Kota stone slurry waste (KSSW) and optimizing the key mix parameters using a Taguchi design framework. Five governing factors—binder replacement level, NaOH molarity, sodium silicate–to–sodium hydroxide ratio (SS/SH), curing temperature, and alkaline solution-to-binder …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 426–445 Read article
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Custom Back-Side Illuminated Frame Transfer Charge Coupled Device (CCD): Chip Design and Electro-Optical Characterization
Abstract: This paper provides a comprehensive overview of the chip design and electro-optical characterization of a Charge Coupled Device (CCD). While CCD technology is well-established, there are limited research articles that offer holistic perspective of CCD chip development, covering aspects ranging from device architecture and chip layout design to characterization and optimization of electro-optical parameters. In this paper, we present CCD chip design and characterization of a custom 1200 x 256 …
Published in Journal of Semiconductor Devices and Circuits · Vol. 12, Issue 3, 2025 · pp. 39–55 Read article
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Experimental and Simulation Study on Reduction Kinetics of Magnetite Ore by using Hydrogen
Abstract: In the present work, magnetite ore fines pellets were prepared for a study of reduction kinetics using hydrogen gas. In the present work, various parameters are investigated to assess their influence on reduction kinetics with respect to hydrogen utilisation. The different input variables influence the process, yielding the reduction fraction. The effect of temperature on reduction kinetics with hydrogen flow rate was explored for the optimum value of these parameters. …
Published in Journal of Materials & Metallurgical Engineering · Vol. 16, Issue 1, 2026 Read article
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Development of Compact RF Filters for Modern Wireless Communication Systems
Abstract: Modern wireless communication systems such as 5G, 6G, Internet of Things (IoT), satellite communication, radar systems, and smart wireless networks require compact and highly efficient RF filters for reliable signal transmission and interference suppression. RF filters are important components that allow desired frequency signals to pass while rejecting unwanted frequencies and noise. With the rapid growth of wireless devices and limited spectrum resources, the demand for miniaturized, low-loss, multi-band, and …
Published in Journal of Microwave Engineering and Technologies · Vol. 13, Issue 2, 2026 Read article
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Quasar: Quantum-Accelerated Sustainable Anomaly Recognition in Climate Systems
Abstract: Accurate detection of climate anomalies is vital for disaster alleviation and policy making in a sustainable manner, but customary detection methods face the challenges of computational inefficiency and physical inconsistency. In this study, we propose a novel approach called Quantum-Optimized Fuzzy Physics-Informed Neural Networks (QFuzzy-PINNs), which integrates quantum computing, fuzzy logic, and physics-informed deep learning. As a first step, we employ quantum annealing for conventional optimization to adjust multiple Gaussian …
Published in International Journal of Climate Conditions · Vol. 2, Issue 2, 2025 · pp. 18–27 Read article
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Effect of Process Variables on the Mechanical Characteristics of form Fabricated Materials
Abstract: Additive manufacturing prominent rapidly advancing technologies for producing 3D-printed products. Initially developed by stratasys, FDM technology emerged during the 1980s. This additive manufacturing technique builds products by extruding semi-molten material through a nozzle onto a platform. PLA and ABS are among numerous thermoplastics that are commonly used as filaments in this procedure. Purpose of research was to observe the effect of variables such as infill percentage, bed temperature, printing speed …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 3, Issue 2, 2025 · pp. 32–39 Read article
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Improving Polymer Composite Properties Through Reinforcement Learning Guided Prototyping A Novel Approach for Material Engineering
Abstract: Innovative approaches integrating reinforcement learning (RL) and machine learning (ML) into the fields of polymer composite prototyping and soft actuator manufacturing for applications. This new an algorithm utilizing RL optimizes polymer composite fabrication parameters to enhance material properties efficiently. By iteratively adjusting parameters based on predefined objectives, the RL agent guides the prototyping process, promising to revolutionize polymer composite engineering. A finest control method for locked loop control of Shape …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 208–218 Read article
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Experimental and Process Optimization Study on Thermal Stress Reduction in TiC–Steel Brazed Joints Using Polymer-Derived Composite Interlayers
Abstract: In this, an experimental investigation aimed at reducing crack formation due to thermal stress in TiC-steel brazed joints through optimization of key process parameters is presented. The primary objective was to develop an integrated and reliable brazing strategy by examining the effects of filler material selection, brazing gap, cooling conditions and type of flux. In this study, polymer-derived composite interlayers were developed through controlled synthesis and nanocomposite engineering to mitigate …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 524–540 Read article
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Fluent Simulation & Analysis of Earth Heat Exchanger with Air as a Cooling Medium
Abstract: Because of the temperatures differential between the environment and the subsurface, an Earth Air Tube Heat Exchanger (EATHE) uses the thermal energy of the ground for air conditioners in the winter and air cooling in the summer. Everyone can lower the amount of energy needed for space heating or cooling with the aid of EATHE. However, it is challenging to create precise energy simulations and designs for calculating surface heat …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 11, Issue 1, 2024 · pp. 18–26 Read article
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Investigating The Synergistic Effects of Micro and Nano Particle Reinforcements in Powder Metallurgy-Processed Aluminum Metal Matrix Composites for Enhanced Mechanical Performance
Abstract: The ever-growing demands of modern mechanical applications necessitate the development of materials with superior mechanical properties. In this research, we delve into the creation and evaluation of Aluminum Metal Matrix Composites (Al MMCs) made via the powder metallurgy route, reinforced with both micro and Nano-scale particles. The key aim is to investigate the possible cooperative effects of this dual reinforcement approach on the mechanical behavior of the composite. Traditional aluminum …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 220–229 Read article
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Engine Performance Analysis of Cottonseed Based Biodiesel Using Design Expert Statistical Based Tool
Abstract: Biodiesel is a biofuel acquired by substance forms from vegetable oils or creature fats and liquor that can be utilized in diesel engines alone or mixed with diesel oil. It is characterized as the mono-alkyl esters of unsaturated fats got from vegetable oils or creature fats. In basic words biodiesel is the item that gotten when vegetable oil or creature fat is artificially responded with a liquor to deliver unsaturated …
Published in International Journal of Industrial and Product Design Engineering · Vol. 1, Issue 1, 2023 · pp. 1–5 Read article
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An Experimental Investigation on Surface Roughness of Laser Beam Machining of Aluminium Alloy
Abstract: Laser beam machining (LBM) is a cutting-edge technique widely utilized for precision machining of advanced materials. This experimental investigation focuses on the surface roughness of aluminum alloy (Al 6061) during LBM. The study systematically examines the impact of process parameters such as laser power, cutting speed, and gas pressure on surface roughness (Ra). The significance of surface roughness in determining the quality and functionality of machined components is emphasized. The …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 82–104 Read article
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DC Motor Control using Deep Reinforcement Learning for Enhanced Robustness and Precision
Abstract: DC motors remain the workhorse of industrial automation and mobile robotics, but achieving simultaneous high-speed transient response and negligible steady-state error under variable load conditions continues to challenge classical Proportional-Integral-Derivative (PID) controllers. These model-dependent systems often require extensive tuning and struggle to maintain optimal performance when confronted with parametric uncertainties, non-linear friction, or sudden voltage fluctuations. This study presents a novel, model-free control paradigm utilizing Deep Reinforcement Learning (DRL)—specifically, a …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 3, Issue 2, 2025 · pp. 22–29 Read article
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Parametric Study of Laser Drilling Process Using Multi Variable Regression Analysis
Abstract: The laser drilling process is an advanced manufacturing technique extensively employed for intricate and high-value components in aerospace, automotive, and electronics industries. Laser drilling technology offers opportunities to meet the contemporary demands of industries using a broad spectrum of engineering materials. However, this process encounters several engineering challenges such as thermal damage, dimensional inaccuracies, and the formation of a recast layer in the drilled components. This study focuses on examining …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1000–1015 Read article
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Fabrication and Multi scale Characterization of Functionally Graded Composites Reinforced with Hybrid Ceramic–Metallic Phases
Abstract: Using composite materials as functionally graded composites (FGM) can improve its excellent material properties. In this work, magnesium peroxide, silicon carbide, and aluminum are used to create four-layer FGMs. The sintering process, which blends the particles of each material using a powder methodology, has been used to complete the fabrication process. Three factors, including sintering time, sintering temperature, and compacting pressure, are taken into account when fabricating FGM. The FGM …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 3, Issue 2, 2025 · pp. 1–11 Read article
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Design and Simulation of LNA in 90 nm CMOS Technology for Radio Receiver using the Cadence Simulation Tool
Abstract: Due to its successful operation in the 2.4 GHz frequency region, often known as the ISM (Industrial, Scientific, and Medical) band, RFICs play a vital role in communication systems. The major parts being used transceivers for frequency translation and amplification are LNA and Mixers. Different types of mixers and LNAs are employed, and different strategies are used to optimize them. In this paper an approach for design and simulation of …
Published in International Journal of Digital Communication and Analog Signals Read article
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Recent Advances in Delivering Strategies of Domperidone Challenges and Opportunities
Abstract: Domperidone (DMP), a potent gastroprokinetic and antiemetic drug, exhibits poor aqueous solubility and limited oral bioavailability. Therefore, to develop oral preparations with optimized oral bioavailability, the pharmacokinetic parameters of DMP need to be controlled. The present review aimed to discuss the physicochemical characteristics of DMP causing its unfavorable oral delivery, to explore the viable oral formulation approaches, and to propose some recent formulation approaches that can mitigate the above mentioned …
Published in Trends in Drug Delivery · Vol. 8, Issue 2, 2023 · pp. 13–24 Read article
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Control System for Off-Grid Multiple Hybrid Renewables
Abstract: This article focuses on designing a renewable energy control system for a household self-consumption network, combining solar and hydroelectric energy to meet the energy demand of a standard home. We conducted an exhaustive analysis of each energy source, evaluating parameters such as solar radiation, optimal tilt of photovoltaic panels, and conversion system efficiency. Equipment for this system is selected based on the characteristics obtained in the study. Hydroelectric energy is …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 15, Issue 3, 2024 · pp. 20–34 Read article
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Enhance Thermal and Conductive Properties through Graph Neural Network-Based Machine Learning-Driven Advanced Polymer Material Design
Abstract: Advanced polymer materials are widely used in modern engineering and manufacturing because of their lightweight nature, flexibility, durability, and adaptability to different applications. However, designing polymer materials with enhanced thermal and electrical properties remains a challenging task. The performance of polymers is influenced by a complex combination of molecular structures, filler materials, processing parameters, and nanoscale interactions. Conventional optimization methods often require extensive experimental trials and computational resources, making it …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 Read article