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251 articles for “Predictive Material Modeling”
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A Two-Dimensional (2D) Analytical Model for Channel Potential and Threshold Voltage of Short Channel Triple Material Gate-Double Halo (TMG-DH) DG MOSFET
Abstract: In the present paper, an analytical model for the channel potential of short channel Triple Material Gate-Double Halo (TMG-DH) DG MOSFET has been presented using parabolic approximation method. Further, the threshold voltage of the device has been calculated using minimum mid channel potential and the result obtained has been compared with the threshold voltage of Triple Material double gate (TMDG) MOSFET in order to show the improvement in the threshold …
Published in Journal of Microelectronics and Solid State Devices · Vol. 6, Issue 2, 2019 · pp. 13–25 Read article
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Cognitive AI-Based Quality Control and Operational Optimization of Polymer Composites for Healthcare Applications
Abstract: The use of polymer composite materials in healthcare is on the rise because of their adjustable mechanical characteristics, biocompatibility and structural flexibility. Yet, it is difficult to ensure stable quality of such composites due to process-related defects, heterogeneity of the material and the lack of real-time adaptive control. The proposed study suggests the use of cognitive AI-based framework of quality control and optimization of operation of polymer composite systems which …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 571–591 Read article
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Experimental and Numerical Assessment of Sustainable Machine Tool Design: A Life Cycle Perspective on Structural Optimization and Energy Performance
Abstract: Machine tools are high-mass, energy-intensive systems with long service lives, contributing significantly to the carbon footprint of manufacturing. Enhancing their sustainability requires integrated structural and energy optimization without compromising functionality, accuracy, or productivity. While sustainable design has been studied broadly, systematic reviews from an experimental and applied mechanics perspective remain limited. This paper reviews sustainable machine tool design through a life cycle lens, emphasizing mechanics-based strategies and assessment methods. Key …
Published in Journal of Experimental & Applied Mechanics · Vol. 17, Issue 2, 2026 · pp. 13–39 Read article
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Quantitative Image-Based Assessment of Degradation Patterns in Polymer-Based Medical Implants
Abstract: Polymer-based medical devices are widely used in clinical practice, where long-term material degradation can compromise performance and patient safety. Traditional polymer degradation studies predominantly rely on laboratory-based experiments, which often fail to capture real-world operational and usage conditions. In this study, a multimodal, data-driven framework is proposed for the quantitative assessment of degradation patterns in polymer-based medical devices using publicly available clinical failure data. Structured operational parameters, including cumulative usage …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1510–1518 Read article
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Exploring the Influence of SS 316L Nanoparticle Integration on the Flexural Strength of PMMA
Abstract: In the present study, a nano composite PMMA was prepared with the help of hot plate magnetic stirring and probe sonication at different loading conditions of nano sized reinforcement material SS 316L. In order to study the effect of independent factors (the amount of reinforcement material, stirring speed, and sonication time) on response variable (flexural strength), the central composite experimental design of response surface methodology (RSM) was utilized. The analysis …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 75–83 Read article
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Advanced Design and Prototyping with Fabrication, Architecture, And Material Design Techniques For 3D Printing Hybrid Polymer Composites
Abstract: Hybrid polymer composites are big steps forward in the field of 3D printing. They combine different materials to improve their engineering qualities, usefulness, and use potential. This essay looks at the advanced design and testing methods needed to use 3D printing to make and create mixed polymer materials. First, we look at material design methods, with a focus on choosing plastics and support materials that help the composite have the …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 22–36 Read article
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Influence of Mechanical Parameters on Corrosion Behavior of Metal Coupons in Simulated Environmental Conditions
Abstract: This study investigates the influence of mechanical parameters—namely applied stress, surface roughness, and deformation history—on the corrosion behavior of metal coupons exposed to corrosive environments. Mild steel and aluminum alloy specimens were prepared with controlled variations in tensile stress, polishing grades, and cold-working levels to simulate real-world mechanical influences. These coupons were immersed in a 3.5% NaCl solution under ambient conditions, and their corrosion rates were monitored over a 30-day …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 3, Issue 2, 2025 · pp. 6–12 Read article
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Evolution of Kinematic and Dynamic Design in Robotic Mechanisms: A Systematic Overview
Abstract: The field of robotics has experienced significant advancements in both kinematic and dynamic design, driven by the growing need for precision, adaptability, and autonomy in mechanical systems. Early robotic mechanisms were predominantly rigid and operated based on simple serial architectures, offering limited degrees of freedom and relying heavily on analytical formulations for motion planning and control. Over time, the demand for greater dexterity and operational versatility led to the development …
Published in Trends in Machine design · Vol. 12, Issue 2, 2025 · pp. 38–43 Read article
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Analysis of Pull-in Voltage with Respect to Changes in Dielectric Material and their Thickness
Abstract: Micro Electromechanical Systems (MEMS) actuators experience pull-in effect in their actuation range. MEMS actuating elements are thin parallel plate capacitor electrodes separated with air gap. Parallel plate electrostatic micro actuators are known to have the pull-in effect, where electrostatic attractive force exceeds the mechanical restoring force of the suspending spring, and that the movable plate spontaneously pulled into physical contact with the opposite electrode. In our model the effect of …
Published in Recent Trends in Electronics Communication Systems · Vol. 2, Issue 1, 2015 · pp. 1–5 Read article
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Measuring Microstructure, Wear Resistance, and Mechanical Reliability Enhancement in Polymer Nanocomposites via Data-Driven Analysis with Deep Learning
Abstract: Polymer nanocomposites have gained great attention owing to their superior mechanical performance, better wear resistance and customizable microstructural properties for aerospace, automotive, medicinal and industrial engineering applications. However, the correct evaluation of the link between the microstructure evolution and the material reliability is a huge issue due to the intricacy of nanoscale interactions and diverse material characteristics. In this study, we propose a data-driven approach that integrates deep learning and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Intelligent Optimization of Drilling Parameters in Polymer Composites using Machine Learning and Metaheuristic Techniques
Abstract: The study tests different ways to use ML and metaheuristic algorithms to determine the best drilling parameters for polymer matrix composites. The research uses a composite matrix made from 55.25% vinyl ester, 44.0% Nickel–Phosphorous coated glass fiber and 0.75% Al₂O₃ nanowires which are tested for tensile strength (64.57 MPa), flexural strength (85.86 MPa) and impact strength (71.79 kJ/m²). By applying a Taguchi orthogonal array, it is observed that a slower …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1795–1810 Read article
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Theoretical modelling of heat transfer in non-homogeneous porous media
Abstract: The paper is focused on the study and analysis of heat transfer in geothermal substrates made up of non-homogeneous porous media. The paper analyses the influence of porosity on the heat transfer as a result of the combination of conduction and convection mechanisms that take place in non-homogeneous porous materials. As a result of the combined effect heat transfer is not homogeneously distributed throughout the cross section of the geothermal …
Published in Journal of Geotechnical Engineering · Vol. 9, Issue 2, 2022 · pp. 44–51 Read article
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AI-Driven Optimization of Biopolymer Composite Formulations Using IoT Data Streams
Abstract: Biodegradable polymer composites have emerged as a sustainable alternative to petroleum-based materials in packaging, biomedical, and structural applications. However, traditional formulation techniques for reinforced polymer composites often lack precision and fail to adapt to real-time variations during processing, resulting in suboptimal material performance. This research proposes a real-time AI-IoT-enabled framework to optimize biopolymer composite formulations. The goal is to intelligently tune composite properties such as mechanical strength, moisture resistance, and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 85–100 Read article
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Machine Learning-Based Structure–Property Quantification of Advanced Polymer Composites
Abstract: Advanced polymer composites are widely used in high-performance engineering due to their superior mechanical and multifunctional properties. Accurate structure–property quantification is essential for efficient material design and reducing experimental costs. Existing Machine Learning (ML) approaches often exhibit limited predictive generalization due to inadequate feature discrimination and suboptimal hyperparameter tuning. To address these limitations, the proposed method enhances the ability to capture the complex nonlinear interactions among composite structural descriptors. The …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Machine Learning Framework for Optimizing Polymer–Metal Oxide Composites as Charge Selective Layers in Perovskite Solar Cells
Abstract: To achieve high-performance and stability of perovskite solar cells (PSCs), it was important to incorporate innovative interfacial materials to tune the balanced charge extraction, low recombination, and enhanced operational lifespan. On this note, polymer composites with metal oxides have been proposed as promising candidates as charge selective layers (CSLs), whereby they present a rare combination of tunable energy levels, improved film forming abilities, and better interface engineering capabilities. In this …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 1073–1098 Read article
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Enhanced Sustainable Concrete Mix Design Using LLMs and Advanced Machine Learning Techniques
Abstract: Large Language Models (LLMs) are emerging as transformative tools in materials science, offering human-like reasoning, zero-shot problem solving, and the ability to integrate fuzzy laboratory knowledge with structured data. This study extends and reinterprets the original systematic benchmark for using LLMs in sustainable concrete design, particularly for Alkali-Activated Concrete (AAC). We introduce an enhanced, multi-model framework combining LLM-based inverse design, Random Forest regression, Gaussian Process Regression (GPR), and a lightweight …
Published in Recent Trends in Civil Engineering & Technology · Vol. 16, Issue 2, 2026 · pp. 26–33 Read article
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AI-Designed Functionally Graded Polymer Composites for Multifunctional Thin Films
Abstract: The design of multifunctional polymer composite thin films requires simultaneous optimization of mechanical, optical, barrier, and thermal properties—objectives often in conflict when using conventional homogeneous materials. This study presents an artificial intelligence-driven framework for designing functionally graded material (FGM) architectures in polymer nanocomposite thin films. We integrated machine learning with physics-based modeling to optimize compositional gradients across film thickness, achieving superior performance compared to homogeneous and discrete multilayer alternatives. A …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1026–1041 Read article
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Real-Time Air Quality Prediction Using IoT-Integrated Polymer Sensors and Recurrent Neural Networks
Abstract: Real-time air quality monitoring remains a critical challenge in urban environments, where traditional sensor infrastructures often suffer from limited responsiveness, poor scalability, and high deployment costs. The increasing prevalence of NO₂ pollution, a key contributor to respiratory and cardiovascular ailments, demands advanced sensing platforms capable of both accurate detection and predictive inference. Existing methods either rely on rigid electronic sensors lacking adaptability or on statistical forecasting models that fail to …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 332–347 Read article
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Optimization of Turning Process Parameters by Genetic Algorithm Approach
Abstract: In this research, turning parameters were optimized through a genetic algorithm for the purpose to minimize surface roughness and to maximize the material removal rate. High finish quality is guaranteed through minimum surface roughness, and efficient process planning is facilitated through maximum material removal rate optimization. For predicting surface roughness and material removal rate with respect to spindle speed, feed rate, and depth of cut, the empirical models were developed …
Published in Journal of Production Research & Management · Vol. 15, Issue 1, 2025 · pp. 33–41 Read article
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A Review on Advances in Polymer Composites and Nanocomposites: Design, Applications, and Life Cycle Assessment
Abstract: Materials based on polymer composites and nanocomposites have won the main status in several regions of industry by mare possessing excellent properties and broad range of application. This review focuses on the advancements in the design of fiber-reinforced polymers, structural composites, multifunctional composites, and biomimetic and eco-friendly composites. Emerging developments in biomedical composites, polymer foams, and smart composites are explored, highlighting their applications in medical, aerospace, automotive, and structural engineering. …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 244–251 Read article