Soft computing and eddy currents to estimate and classify delaminations in biomedical device CFRP plates

Journal of Electrical Engineering, Journal Year: 2025, Volume and Issue: 76(1), P. 72 - 79

Published: Feb. 1, 2025

Abstract This paper presents an approach based on eddy currents induced by suitable magnetic induction fields to test, estimate, and classify subsurface delaminations in Carbon Fibre Reinforced Polymer (CFRP) plates for biomedical devices. The two-dimensional maps obtained, characterised high fuzziness, required the software development of a procedure highly efficient fuzzy classifier that exploits similarity computations with reduced computational load collecting similar (deriving from equally defects) specific defects. hardware implementation what is designed (plate-probe system) detects evaluates entity defects due classification percentage comparable performances obtained more sophisticated classifiers, providing possible tool evaluating potentially useful assess aircraft compliance applicable safety standards.

Language: Английский

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Dual Roles of PTSA in Electrical Conductivity of PEDOT:PTSA with Large Seebeck Coefficient

Materials, Journal Year: 2025, Volume and Issue: 18(3), P. 619 - 619

Published: Jan. 29, 2025

The electrical conduction mechanism of PEDOT:PTSA thermoelectric conversion material supported on PET fiber was investigated with varying PTSA concentrations. Raman analysis revealed that an increasing concentration promoted transformation from a benzoid to quinoid structure in PEDOT chains, reaching saturation higher All samples exhibited p-type behavior, Seebeck coefficients ranging 0.9 2.7 mV/K. temperature dependence conductivity showed and activation energy extreme values concentration, correlating the transformation. This behavior suggests serves dual roles: at lower concentrations, it enhances through chemical doping, carrier mobility via formation; excess induces scattering without contributing thereby reducing conductivity. These findings indicate properties are governed by balance between doping effects mechanisms, which both influenced concentration.

Language: Английский

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Multi-Scale Anisotropic Yield Function Based on Neural Network Model

Materials, Journal Year: 2025, Volume and Issue: 18(3), P. 714 - 714

Published: Feb. 6, 2025

The increasingly complex form of traditional anisotropic yield functions brings difficulties to parameter calibration and finite element application, it is necessary establish a unified paradigm model for engineering applications. In this study, four models were used calibrate the behavior 2090-T3 aluminum alloy, corresponding surfaces in σxx,σyy,σxy α,β,r spaces studied. Then, α β are selected as input variables, r regarded an output variable improve prediction generalization capabilities fully connected neural network (FCNN) model. results FCNN finally compared model, reliability predict anisotropy verified. data sets with different stress states loading directions generated through crystal plasticity simulation, surface directly predicted by show that can accurately reflect characteristics. function based on cover characteristics all one subroutine, which greatly reduces difficulty subroutine development. Moreover, behaviors.

Language: Английский

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Interval Uncertainty Analysis for Wheel–Rail Contact Load Identification Based on First-Order Polynomial Chaos Expansion

Mathematics, Journal Year: 2025, Volume and Issue: 13(4), P. 656 - 656

Published: Feb. 17, 2025

Traditional methods for identifying wheel–rail contact loads are based on deterministic models, in which the uncertainties such as material inhomogeneity and geometric tolerance not considered. For load analysis with uncertainties, a novel method named Interval First-Order Polynomial Chaos Expansion (IFOPCE) is proposed to propagate uncertainty systems. In IFOPCE, polynomial chaos expansion (PCE) first utilized approximate relationship between strain responses, loads, uncertain variables. The coefficients calculated using Latin Hypercube Sampling (LHS). To efficiently decouple established first-order PCE. By variation range of can be effectively obtained. It shown numerical examples that IFOPCE achieves high computational accuracy have great effect identification loads.

Language: Английский

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Integration of Finite Element Method and Neural Network for Enhanced Prediction of Rubber Buffer Stiffness in Light Aircraft

Aerospace, Journal Year: 2025, Volume and Issue: 12(3), P. 253 - 253

Published: March 18, 2025

Rubber buffers are one of the most important components for structural vibration damping in light aircraft. This study presents a finite element model developed using ABAQUS, which has been experimentally validated. The stiffness rubber with varying geometric parameters under different loading conditions was analyzed ABAQUS. is predicted via BP neural network model. A novel approach integrating method analysis proposed. initially derives buffer data through model, subsequently utilized to train predicting stiffness. results indicate that both and significantly affect buffers. proposed integration not only reduces time economic costs but also enhances calculation accuracy, rendering it more suitable engineering applications. Comparative analyses reveal prediction accuracy ranges from 67.59% 88.5%, higher than traditional formulas. Furthermore, demonstrates superior capability addressing multivariate linear coupling relationships.

Language: Английский

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Improving Temporal Characteristics of Mealy FSM with Composite State Codes

Electronics, Journal Year: 2025, Volume and Issue: 14(7), P. 1406 - 1406

Published: March 31, 2025

In this paper, we proposed a new state assignment method focusing on Mealy finite machines (FSMs). The makes it possible to improve the temporal characteristics of circuits FSMs, internal states which are encoded by composite codes (CSCs). These consist class and partial codes. Both maximum binary We propose encode classes one-hot main goal is improving value FSM cycle time without any significant degradation spatial characteristics. can be applied if implemented using look-up table (LUT) elements field-programmable gate arrays (FPGAs). resulting circuit includes two logic blocks. first block generates input memory functions outputs depending choice allows minimizing systems functions. This generating most single-LUT circuits. Some require dedicated multiplexers. second final values outputs. does not generate functions, case CSC-based FSMs. approach reducing number series-connected LUTs in comparison with Due reduction, improved. paper an example synthesis through applying method. experiments conducted standard benchmark results show that (by average 9.15%). relation increases 10.03%, power consumption 7.63%.

Language: Английский

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A Statistical Study on the Influence of Drilling Process in Delamination Observed in Composite Plates

Materials, Journal Year: 2025, Volume and Issue: 18(7), P. 1595 - 1595

Published: April 1, 2025

Composite materials are increasingly being implemented in various solutions, ranging from conventional applications, like furniture, to more advanced ones, such as aerospace, based on their excellent properties, high mechanical strength and low weight. There applications which these coupled other parts. To achieve this connection, drilling processes commonly used. Drilling causes irreversible damage the material, influences of plates. This study was conducted 48 carbon/epoxy plates, each with two drilled holes, DOE (design experiments) Taguchi method design experimental plan validate results. Three control factors were considered for drilling: drill bit type, cutting speed, feed rate, it is expected that a rate speed configuration inflicts least damage. Subsequently, specimens subjected enhanced radiography an image analysis processing tool MatLab® assess data collected compute At end, analyzing results method, possible assumptions influence process delamination extension.

Language: Английский

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Deep Learning-Based FSS Spectral Characterization and Cross-Band Migration

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(7), P. 4035 - 4035

Published: April 6, 2025

Conventional design methodologies for Frequency Selective Surfaces (FSSs) are often plagued by challenges such as difficulties in determining unit cell structures, a plethora of optimization parameters, and substantial computational demands. In response, researchers have developed deep learning-based approaches FSS design, highlighting their advantages terms high efficiency low resource consumption. However, these methods typically confined to designing FSSs within the spectral ranges defined datasets, significantly limiting applicability. This paper systematically analyzes impact material geometric parameters on characteristics, thereby establishing theoretical foundation cross-band transfer learning capability neural networks. Building this foundation, we utilized COMSOL (Version 6.0) MATLAB R2021b) co-simulations recollect 6000 sets data millimeter-wave band. Using only 23.1% volume, achieved training results comparable those obtained with full dataset shorter time frame, mean absolute error 0.07 test set. demonstrates feasibility successfully implements convolutional networks from terahertz band The findings study provide valuable insights integration FSSs, enhancing utilization efficiency, further advancing development efficient, concise, universal methodologies. advancement extends scope solving specific problems addressing broader class issues.

Language: Английский

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Silanized Graphene Oxide/Glass Fiber-Modified Epoxy Composite with Excellent Anti-Corrosion and Mechanical Properties as Offshore Oil Platform Safety Signs

Materials, Journal Year: 2025, Volume and Issue: 18(9), P. 1920 - 1920

Published: April 24, 2025

Epoxy resin (EP) is a candidate material for offshore oil platform safety signs due to its excellent corrosion resistance property. However, fabricating EP with good anti-corrosion as well mechanical properties remains significant challenge. Here, we report new modification strategy simultaneously improve the and performance of by coupling it KH550 silanized graphene oxide (KGO) glass fiber (KGF). KGO KGF were grafted onto obtain modified material, i.e., KGO/KGF/EP composites characterized FITR, XRD, SEM, TGA confirm successful synthesis composites. It shown that tensile strength adhesion 85.5 MPa 16.0 MPa, which are 10.3% 23.1% higher than KGO/GF/EP. Compared KGF/EP, potential increased 9.9% rate decreased 98.8%. Moreover, fluid–structure simulation indicated maximum stress was within criteria under extreme wind speeds, demonstrating great sign applications.

Language: Английский

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A Wideband Analog Vector Modulator Phase Shifter Based on Non-Quadrature Vector Operation

Electronics, Journal Year: 2025, Volume and Issue: 14(5), P. 997 - 997

Published: Feb. 28, 2025

Phase shifters are essential components of phased array systems, which crucial to radar and wireless communication systems. New-generation telecommunication systems often require strict phase shifter performance metrics, such as resolution bandwidth, perform fine beam scanning, helps increase pointing accuracy. Meanwhile, practical vector modulator shifters, employ quadrature signal operation, typically have digital control below 7 bits. In this regard, a based on non-quadrature operation covering the lower S-band upper C-band is proposed implemented in work. The proof-of-concept printed circuit board (PCB) prototype exhibits more than 360° continuous shift with 50% fractional bandwidth. addition, it achieves median gain 0.8 dB size 0.9 λg2 inclusion an output gain-block amplifier. relatively wider smaller size, approach make potential candidate for new-generation ultrawideband

Language: Английский

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