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Unique Bioinspired Nanowire Structures for Dual-Modal Optoelectronic Electronic Skin

Advanced Materials 2025年 e2504266页

作者： Li, Xin-Lin Wang, Wen-Ze Li, Bo Chen, Cheng Xu, Feng-Qi Yang, Zhong-Yuan Meng, Xiang-Sen Yang, Qi-Rui Wang, Quan Zhu, Yin-Bo Liu, Jian-Wei State Key Laboratory of Precision and Intelligent Chemistry Department of Chemistry University of Science and Technology of China Anhui Hefei230026 China CAS Key Laboratory of Mechanical Behavior and Design of Materials Department of Modern Mechanics CAS Center for Excellence in Complex System Mechanics University of Science and Technology of China Hefei230027 China Division of Nanomaterials & Chemistry Hefei National Research Center for Physical Sciences at the Microscale Institute of Energy Hefei Comprehensive National Science Center Department of Chemistry Institute of Biomimetic Materials & Chemistry Anhui Engineering Laboratory of Biomimetic Materials University of Science and Technology of China Hefei230026 China

As initial basic applications expand into more complex and diverse fields, including prosthesis, the metaverse, and information encryption, the diversification, multifunctionality, and customization of electronic skin (e-skin) have increasingly become prominent research trends. However, most e-skins focus on achieving higher performance and a broader response range, lacking functionality and mode customization options. Here, a mode designable bioinspired e-skin is reported, utilizing a mechanical strategy combined with interface assembly technology, and achieving the integration of optical and electrical sensing capabilities in single functional material. Benefiting from the tunable engineering of nanowire structures, the Mode I demonstrates for the first time an anisotropic infrared-electrical combined e-skin, achieving remarkable anisotropic electrical performance with an anisotropy index (GF1/GF2) greater than 104 and stable anisotropy infrared transmittance changes even after 105 cycles at 75% strain. On the other hand, the Mode II offers an interference-resistant e-skin that maintains stable electrical performance and infrared transmittance under complex deformations based on novel 3D buckled structure. Finally, the two modes are integrated and successfully applied to the multiple encryption of customized information, presenting significant potential for confidential military projects. © 2025 Wiley-VCH GmbH.

关键词： Nanowires

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Fluid flow and heat transfer characteristics of flying-wing finned tubes in high-altitude environments

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International Journal of Thermal sciences 2025年 217卷

作者： Long Miao Rui Wan Kai Qiao Xi-Long Zhang Lei Zhang Hua-Wei Wu Tao Sun Lei Liu Zhen Liu School of Mechanical & Electrical Engineering Xuzhou University of Technology Xuzhou 221000 China Hubei Key Laboratory of Power System Design and Test for Electrical Vehicle Hubei University of Arts and Science Xiangyang 441053 China School of Automotive and Traffic Engineering Hubei University of Arts and Science Xiangyang 441053 China School of Mechanical and Automotive Engineering Qingdao University of Technology Qingdao 266520 China

High-altitude environments significantly influence the performance of flying-wing finned tube heat exchangers (FWFHEs); however, the specific variation patterns and the underlying mechanisms are poorly understood. To address this gap, this study systematically investigates the fluid flow and heat transfer characteristics, as well as the relevant mechanisms, of flying-wing finned tubes (FWFTs) under high-altitude conditions. The performance of the FWFHE was experimentally evaluated under simulated low-temperature ambient conditions corresponding to an altitude of 1000 m. The established simulation methodology was then validated using these experimental results. Following validation, numerical studies were conducted to examine the fluid flow and heat transfer characteristics of FWFTs over an altitude range of 0–5500 m, with inter-fin inlet air velocities from 6 to 12 m/s and Reynolds numbers ( Re ) between 1250 and 3000. The results indicate that, when the inter-fin inlet air velocity is held constant, the pressure drop, heat transfer rate, and convective heat transfer coefficient all decrease significantly with increasing altitude. Specifically, each parameter is reduced by approximately 5.5%, 5%, and 5% for every 500-m increase in altitude, respectively. Despite these dimensional changes, the primary dimensionless parameters—friction factor, corrected Nusselt number, and performance evaluation criterion—remain largely insensitive to altitude under constant Re conditions, indicating stable dimensionless fluid flow and heat transfer characteristics. This stability results from a compensatory mechanism: the increased airflow velocity needed to maintain constant Re counteracts the rise in kinematic viscosity at higher altitudes. To facilitate engineering calculations, altitude correction factors for pressure drop and heat transfer coefficient are proposed. These factors enable accurate prediction and optimization of the heat transfer area design for FWFHEs operating in

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A digital image correlation method for strain measurement using higher-order X-ray optical field components

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Optics and Laser technology 2025年 189卷

作者： Li, Zixin Su, Yong Li, Jia Yuan, Yajun Xiao, Yu Xu, Feng CAS Key Laboratory of Mechanical Behaviour and Design of Materials Department of Modern Mechanics CAS Center for Excellence in Complex System Mechanics University of Science and Technology of China Anhui Hefei230027 China School of Biomedical Engineering Anhui Medical University Hefei230032 China

To achieve highly sensitive characterization of internal material strain fields, this study proposes a digital image correlation strain field measurement method based on higher-order X-ray optical field *** method utilizes random gratings to modulate the X-ray optical field, extracts the information of higher-order field components during material deformation based on the discrepancy between the theoretical transmission model and the experimental measurement, and combines the extracted information with Digital Image Correlation (DIC) technology to achieve precise measurement of internal material strain *** to the experimental comparison and verification, the relative displacement difference between the deformation field distribution obtained by the proposed method and the results of the traditional absorption phase method in the non-boundary and stress concentration area proves that the correlation information of the higher order components can truly reflect the deformation characteristics of the ***, compared to traditional methods, this method demonstrates higher sensitivity in strain field characterization. Particularly in the measurement of shear strain at crack tips, its computational results align more closely with linear elastic fracture mechanics theoretical predictions, providing a novel experimental approach for studying material damage evolution and failure mechanisms. © 2025 Elsevier Ltd

关键词： Crack tips

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A method for predicting the configuration of corium pool in RPV lower plenum

A method for predicting the configuration of corium pool in ...

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2018 International Congress on Advances in Nuclear Power Plants, ICAPP 2018

作者： Liu, Lili Yu, Hongxing Chen, Liang Jian, Deng Chunrui, Deng Dan, Zhang Xiaoli, Wu Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China Chengdu China

ISBN: (纸本)9780894487552

The configuration of a corium pool in the lower plenum of reactor vessel is very important for validity of maintaining reactor vessel integrity under IVRERVC (In-Vessel corium Retention through External reactor Vessel Cooling) condition. A method is designed to predict the configuration of corium pool for an Advanced China PWR, call ACP1000 after entire melt dropping into the lower plenum. It takes into account both thermo-chemical reaction of oxides and metals in corium and the influence of different paths of corium relocated from core region into the lower plenum. The reasons why a three-layer pool has not been observed in the MASCA and COSMOS tests are given by this method. The method is applied to investigate the corium configuration of ACP1000 after a hypothetical station blackout (SBO) accident. It is shown that the stratification of the corium pool is related to the relocation paths of the corium. In the case of downward relocation, a two-layer melt pool with a metal layer on the top is formed. For the sideward relocation, the configuration shows a stratified pool consisting of a dense metal layer on the bottom, an oxide layer in the middle and a light metal layer on the top. © 2018 American Nuclear Society. All rights reserved.

关键词： Pressurized water reactors

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Effect of clamping failure on flow induced vibration and fretting wear of fuel rods

Effect of clamping failure on flow induced vibration and fre...

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ASME 2018 Pressure Vessels and Piping Conference, PVP 2018

作者： Huan-Huan, Qi Zhi-Peng, Feng Fu-Rui, Xiong Nai-Bin, Jiang Qian, Huang Xuan, Huang Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China Chengdu China

ISBN: (纸本)9780791851654

Fuel rods are subjected to both axial and lateral flow in the reactor core. In this study, we present a study on the flow induced vibration (FIV) and fretting wear of fuel rod with failed clamping at grids. First, according to the flow distribution around a type of pressurized water reactor (PWR) fuel rod, the power spectral density (PSD) is obtained to characterize the turbulence excitation. Next, by combining the correlation PSD test parameters, the mean square value of the vibration displacement of each rod mode is found, and then the wear depth of dimple position is calculated based on the ARCHARD wear formula. The clamping of fuel rod at various grids may fail due to inaccurate manufacturing, fuel transportation and in-core irradiation. The absence of clamping force would significantly influence the rod mode and thereby changes its FIV responses. Simulation results show that the failure of the leaf spring has negligible effect on the rod natural frequency whereas the dimple failure near the location with larger FIV amplitude has a much significant effect. The lateral flow velocities at the inlet and outlet of the core are larger. For the fully clamped fuel rod, the response amplitude of turbulent excitation at the bottom and top of the fuel rod is larger. This is even more obvious with a failed dimple at these locations. Comparatively, the effect of dimple support failure in the middle is less influential. The influence of dimple support failure over the rod wear depth depicts basically the same trend as on the maximum FIV amplitude. In addition to the FIV amplitude, wear depth is also related to rod natural frequency. By examining the multiplication of amplitude and frequency at the top and bottom grid, we found that the dimple failure has greater impact at the top grid. Copyright © 2018 ASME.

关键词： Natural frequencies

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Research on the effect of grid clamping failure on flow elastic stability and vortex shedding of fuel rod 26

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2018 26th International Conference on Nuclear Engineering, ICONE 2018

作者： Huan-Huan, Qi Zhi-Peng, Feng Nai-Bin, Jiang Qian, Huang Xuan, Huang Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China Chengdu China

ISBN: (纸本)9780791851456

Flow elastic stability and vortex shedding were two important mechanisms of the flow induced vibration analysis. Due to the influence of manufacturing process, transportation and irradiation, the clamping action of grid on fuel rods may be invalid. Taking one fuel assemblies as an example, the effects of clamping failure on the natural frequencies, mode shapes, flow elastic stability and vortex shedding were studied. The results show that the effect of the rigid convex support failure on the natural frequency was directly related to the mode shape. The effect of the grid rigid convex failure near the nodes with larger amplitude on the natural frequency was obvious. The velocity of flow at the top and bottom of the fuel rods were larger and the size was comparable, this induced that the rigid convex failure of the top and bottom grids had a significant effect on the ratio of flow elastic stability and the vortex shedding. Copyright © 2018 ASME.

关键词： Vortex shedding

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Flow-induced vibration analysis of the check valve 25

Flow-induced vibration analysis of the check valve

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25th International Congress on Sound and Vibration 2018: Hiroshima Calling, ICSV 2018

作者： Shuai, Liu Peng, Feng Zhi Zhou, Jiang Xiao Xi, Lv Shou, Zhang Feng Xuan, Huang Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China Chengdu China

ISBN: (纸本)9781510868458

As an important over-current adjustment unit in the nuclear power plant piping system, check valve often causes some vibration and noise problems. The study of the existing valves mainly focuses on the simple or fixed opening two-dimensional steady-state flow field, which can't be used to explain the vibration and noise problems. In this paper, a complex passive check valve which has the asymmetric distribution with one import and two exports is proposed. In order to investigate the coupling mechanism between the internal pressure fluctuations and the vibration of system with the automatic adjusting process, the three-dimensional fluid simulation model is constructed. In addition, the vibration characteristic of internal flow field and the irregular fluctuating of the flow field are also calculated when the spool is moving. The coupling vibration characteristics of the flow field is obtained, which provides a meaningful guidance for the vibration reduction of the valve. Copyright © (2018) by International Institute of Acoustics & Vibration. All rights reserved.

关键词： Flow fields

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A practice of hybrid real-time compensation strategy for motion control of a heavy-load and high-speed 6-DOF parallel platform

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Mechanism and Machine Theory 2025年 214卷

作者： Changlei Shao Chengwu Li Yan Hu Jingdong Hu Songlin Zhou Xiaoming He Wei Shi Feng Gao Kun Zhang China Key Laboratory of Radiation Physics and Technology of the Ministry of Education Institute of Nuclear Science and Technology Sichuan University Chengdu 610064 PR China Shanghai Nuclear Engineering Research & Design Institute Co. Ltd Shanghai 200233 PR China State Key Laboratory of Mechanical System and Vibration School of Mechanical Engineering Shanghai Jiao Tong University Shanghai 200240 PR China

The heavy-load and high-speed 6-DOF parallel platform has been developed for tests of marine equipment; however, the complex mechanism achieving the aforementioned traits challenges the high-accuracy motion control of the end-effector interfacing with the test equipment. A hybrid real-time compensation strategy is proposed, which includes kinematic calibration based on identifiable parameters separation (IPS) for direct compensation of geometric errors, and direct feedback of force at the end-effector and linear encoder for compensation of compliance errors. Experiments are conducted to measure the error of motion after the hybrid real-time compensation. In parallel, the total error analysis including both geometric and compliance aspects is performed as a reference without compensation. The results indicate that the maximum error of the end-effector is significantly reduced from the calculated value of 14.3mm/0.54° to the measured value of 5.9mm/0.37°.

关键词： Hybrid real-time compensation Direct force feedback Identifiable parameters separation 6-DOF parallel platform Heavy-load High-speed

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Cross-domain intelligent cooperative spectrum sensing algorithm based on Federated Learning and Swin-Transformer neural network

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Engineering Applications of Artificial Intelligence 2025年 157卷

作者： Lingwei Xu Zhihe Gao Yufang Li T. Aaron Gulliver Department of Information Science and Technology Qingdao University of Science & Technology Qingdao 266061 China Key Laboratory of Industrial Internet of Things & Networked Control Ministry of Education Chongqing University of Posts and Telecommunications Chongqing 400065 China Hubei Key Laboratory of Power System Design and Test for Electrical Vehicle Hubei University of Arts and Science Xiangyang 441053 Hubei China Guangxi Key Laboratory of Hybrid Computation and IC Design Analysis(Guangxi Minzu University) Nanning 530006 China Department of Electrical and Computer Engineering University of Victoria Victoria BC V8W 2Y2 Canada

The deployment of 6th Generation (6G) mobile networks will bring revolutionary changes to organizations and users through higher speeds, lower latency, and more intelligent network management. This will require more efficient spectrum sharing to improve network performance. Cognitive Radio (CR) can be employed to help achieve this goal. However, data collection at the fusion center for cooperative spectrum sensing (CSS) creates a risk of sensing user (SU) data leakage. In this paper, an intelligent CSS algorithm for mobile communication is proposed based on Federated Learning with a Swin-Transformer. First, to achieve the cross-domain process, a Continuous Wavelet Transform (CWT) is used with the normalized time series data to obtain a time-frequency spectrum map with joint time-frequency features. Second, Federated Learning is employed to realize distributed CSS to reduce sensing overhead, improve the security of sensing data, and eliminate the SU data isolation with traditional distributed CSS. Then, a new Swin-Transformer spectrum sensing is proposed for fusion learning of the time-frequency spectrum map. The fusion of Federated Learning and Swin-Transformer neural network provides cooperation with multiple SUs to achieve efficient spectrum sensing using the K -rank fusion criterion. Compared with the Convolutional Neural Network (CNN), ViT-Transformer, Graph Neural Network (GNN) and EfficientNet algorithms, the detection probability of the proposed algorithm has increased by 45 %, and the false alarm probability has decreased by 13 %.

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A guideline study for optimal machine learning approaches to predict the off-design performance of sCO 2 -PCHEs

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Case Studies in Thermal Engineering 2025年 73卷

作者： Xin Sui Wenqi Wang Chunyang Liu Peixin Dong School of Mechatronic Engineering Henan University of Science and Technology Luoyang 471003 China Henan Key Laboratory for Machinery Design and Transmission System of Henan Province Luoyang 471003 China Longmen Laboratory Luoyang 471000 China Department of Mechanical Engineering The Hong Kong Polytechnic University Hong Kong Special Administrative Region

As research increasingly focuses on predicting the off-design performance of PCHEs using machine learning (ML) approaches, there is a clear need to identify the most cost-effective method that offers optimal accuracy and generalization across a wide range of operating conditions in sCO 2 power cycles. In response, this study establishes highly accurate machine learning proxies, including XGBoost, SVMs, BPNNs, and FCDNs for comparison, aiming to rank and identify the one with the best accuracy and generalization for different operating conditions of PCHEs. First, multiple datasets concerning the geometric parameters and working conditions of PCHEs are consolidated. Two data-driven techniques are introduced to correlate both inputs and outputs, identifying the most pertinent parameter. Then, the sensitivity of ML models to hyperparameter, split ratio, and data distribution is evaluated. Finally, a mutual assessment is conducted to rank their accuracy and generalization when predicting the heat transfer coefficient across three real-world operating scenarios. This study concludes that: 1) BPNN and XGBoost emerge as the best performers with the highest accuracy, achieving a MAPE of 2.938 % and 3.074 %, respectively, among eleven approaches with four ML models and seven Nu correlation-based models included; 2) BPNN and XGBoost exhibit strong generalization ability, demonstrating accuracy losses of less than 0.057 and 0.244, respectively, against unseen data; 3) unlike FCDN, which requires substantial computational time, or SVM, which produces significant errors, BPNN and XGBoost are more reliable and efficient in forecasting sCO 2 -PCHEs’ performance for future power cycle control studies that involve vast operating conditions and numerous rounds of optimization search.

关键词： Machine learning sCO 2 -PCHEs Hyperparameter optimization Generalization ability Off-design performance

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