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792 articles for “Interfacing”
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Federated Learning Framework for Sustainable Multi-Scale Design of Recyclable Thermoplastic Graphene Composites in Smart Manufacturing Environments
Abstract: The growing demand for sustainable advanced materials has accelerated the development of recyclable thermoplastic graphene composites for next-generation smart manufacturing systems. The typical central optimization methods have challenges with data privacy, scalability, and poor collaboration between distributed manufacturing sites. By combining material informatics, edge intelligence and distributed artificial intelligence, this study introduces a Federated Learning (FL) framework to design recyclable thermoplastic graphene composites at multiple scales sustainably. The proposed framework …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Numerical Investigation of Slip Conditions in Nanofluid Flow Induced by a Nonlinearly Stretching Sheet: A bvp4c Approach
Abstract: The present work describes a numerical analysis of the steady, laminar flow over a nonlinear stretching sheet in a nanofluid medium. Slip conditions in terms of velocity, temperature, and concentration have been introduced into the mathematical model to capture the impact of interfacial mass transfer on the stretching surface. The problem is modeled to include nanoparticle transportation in terms of Brownian diffusion and thermophoresis, thereby affecting the temperature and concentration …
Published in Recent Trends in Fluid Mechanics · Vol. 13, Issue 2, 2026 · pp. 34–51 Read article
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An Experimental Analysis on Enhancement of Electric Vehicle Safety using ADAS Technology and Forward Collision Avoidance with an Automatic Braking System
Abstract: The rapid expansion of the automobile sector in developing nations has intensified road safety concerns, particularly in congested urban environments where human error accounts for approximately 90% of all accidents. This paper presents and experimentally validates an integrated Advanced Driver Assistance System (ADAS) for electric vehicles comprising three complementary safety modules: a Forward Collision Avoidance System (FCAS) employing an HC-SR04 ultrasonic sensor interfaced with an Arduino Uno R3 to detect …
Published in Journal of Automobile Engineering and Applications · Vol. 13, Issue 2, 2026 · pp. 20–30 Read article
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Multifunctional Corn Husk Fibre/PLA–PBAT Hybrid Composites with Carbon-Black Percolation for Structural Self-Sensing Applications
Abstract: This study developed multifunctional polymer composites based on a PLA/PBAT (Polylactic Acid/ Poly(butylene adipate-co-terephthalate)) thermoplastic matrix reinforced with 20 wt.% corn husk fibre (CHF) and functionalized with conductive carbon black (CB) for smart consumer-electronics casings. Alkali treatment modified the lignocellulosic fibre surface, improving fibre–matrix interfacial adhesion and stress transfer within the polymer composite. Thermal characterization showed that the PLA cold-crystallization temperature decreased from 112.5 °C for the unfilled blend to …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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Heteroatom modified carbon dots (N, P, K): synthesis, surface functionalization, and prospects for soil‑fertility enhancement
Abstract: Heteroatom‑functionalized carbon dots (H‑CDs) have emerged as a class of zero‑dimensional carbon nanomaterials offering tunable optical, electronic, and catalytic properties through controlled nitrogen, phosphorus, and potassium doping. This review highlights the chemistry and chemical‑technology dimensions of N‑, P‑, and K‑doped carbon dots (N‑CDs, P‑CDs, K‑CDs), focusing on their synthesis strategies, surface functionalization, and structure–property relationships. Conventional routes such as microwave‑assisted pyrolysis, hydrothermal carbonization, and one‑pot solvothermal methods are discussed, with …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 17, Issue 2, 2026 · pp. 30–35 Read article
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AI-Optimized Nano-Silica Reinforced PCM Composites for Predictive Solar-Thermal Energy Storage Networks
Abstract: This study presents an AI-optimized nano-silica reinforced polymer composite phase change material (PCM) for predictive solar-thermal energy storage networks. The proposed composite combines paraffin wax, high-density polyethylene (HDPE), and uniformly dispersed nano-silica particles to improve thermal conductivity, structural stability, leakage resistance, and long-term cycling performance. The composite was fabricated through melt blending and ultrasonication-assisted nanoparticle dispersion, followed by comprehensive morphological, chemical, thermal, and thermophysical characterization using scanning electron microscopy (SEM), …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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Mechanical Characterization of Untreated Banana Fiber Reinforced PLA Bio-Composites Manufactured by 3D Printing
Abstract: This study investigates the development and mechanical characterization of fused deposition modeling (FDM) filaments utilizing polylactic acid (PLA) reinforced with untreated banana fibers (BF). To address the brittleness of pure PLA and valorize agricultural waste, composite filaments with fiber loadings of 0, 1, 3, and 5 wt.% were fabricated using a single-screw extruder. A Taguchi L16 orthogonal array was employed to optimize printing parameters, including fiber percentage, raster angle, infill …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 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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A IoT-Enabled Predictive Intelligence for Real-Time Failure and Damage Evolution Monitoring of Polymer Composites
Abstract: Damage assessment of carbon-fibre-reinforced polymer composites is still challenging since the damage occurs as a combination of matrix cracking, interfacial debonding, delamination and fibre fracture. The present work proposes a framework for predictive-intelligence based on IoT for multiaxial fatigue and compression-after-impact (CAI) CFRP experiments, employing publicly available acoustic-emission (AE) datasets. A causal CNN–GRU attention model is developed by integrating time-domain, spectral, wavelet, loading-history and trend features to estimate the damage …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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Hybrid Machine Learning and Finite Element Framework for Predicting Damage Behavior in Fiber-Reinforced Polymer Composites
Abstract: Fiber Reinforced Polymer (FRP) composites have broad spread use in aerospace, automotive, marine and structural applications due to its high specific strength, stiffness and corrosion resistance. The various damage mechanisms such as matrix cracking, fiber breakage, delamination and interfacial failure, however, make the forecasting of damage particularly complex. In this work, a hybrid machine learning (ML) and finite element (FE) system is proposed for predicting the damage behavior of FRP …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Smart Fan Speed Regulator using ESP32 With Temperature-Based Automatic Control and IoT Monitoring
Abstract: The increasing demand for energy-efficient and intelligent electrical appliances has created a need for automated systems that can regulate their operation according to changing environmental conditions. Conventional ceiling fans generally require manual speed adjustment, which may result in unnecessary energy consumption when the fan continues to operate at a higher speed than required. To overcome this limitation, this project proposes a Smart Fan Speed Regulator using an ESP32 microcontroller with …
Published in Journal of Microelectronics and Solid State Devices · Vol. 13, Issue 2, 2026 Read article
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Recent Advances in Nanotechnology-Assisted Liquid Crystal Biosensors for Sensitive and Naked-Eye Detection of Antibiotics
Abstract: The widespread use of antibiotics in healthcare, veterinary medicine, agriculture, and aquaculture has resulted in increasing levels of antibiotic residues in food products and environmental samples, posing significant risks to human health and contributing to antimicrobial resistance. Conventional analytical methods, including high-performance liquid chromatography (HPLC), liquid chromatography–mass spectrometry (LC–MS), enzyme-linked immunosorbent assay (ELISA), and electrochemical techniques, offer excellent sensitivity but require sophisticated instrumentation, skilled personnel, and extensive sample preparation. In …
Published in International Journal of Crystalline Materials · Vol. 3, Issue 2, 2026 Read article