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SSRN 2023年

作者： Zhu, Changda Qiu, Xi Li, Yuanming Zhang, Wei Yang, Jian Zhong, Yilong Deng, Jiuguo Zhou, Mingyang Liu, Ning Yang, Jijun Key Laboratory of Radiation Physics and Technology of Ministry of Education Institute of Nuclear Science and Technology Sichuan University Chengdu610064 China Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China Chengdu610213 China

The effect of FeCrAl sublayer composition on the microstructure, mechanical properties and lead-bismuth eutectic (LBE) corrosion behavior of the FeCrAl/YSZ composite coatings were systematically investigated. The results show that the FeCrAl sublayer as a diffusion barrier and bonding layer is beneficial to improve the mechanical properties and corrosion resistance of the coatings. After corrosion, a slow-growing, continuous and protective Al-rich oxide is formed at the interface between the YSZ and FeCrAl sublayer, which can effectively hinder the inward diffusion of oxygen atoms and the outward diffusion of iron atoms. Especially, the Fe12Cr9Al/YSZ coating exhibits the best corrosion resistance even after corrosion at 700°C. The microscopic corrosion mechanism of FeCrAl/YSZ coating is elucidated. © 2023, The Authors. All rights reserved.

关键词： Eutectics

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Enhanced thermal isolation in porous thermal barrier coatings by the formation of pore guided thermal-shock cracks

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science China(Technological sciences) 2023年第4期66卷 1007-1017页

作者： ZHEN Yu WU KaiJin LIU MengQi ZHENG SongLin HE LingHui YU Yin NI Yong CAS Key Laboratory of Mechanical Behavior and Design of Materials Department of Modern MechanicsCAS Center for Excellence in Complex System MechanicsUniversity of Science and Technology of ChinaHefei 230026China National Key Laboratory of Shock Wave and Detonation Physics China Academy of Engineering PhysicsInstitute of Fluid PhysicsMianyang 621900China

Pore structure design is an effective strategy to tailor the thermal isolation capability of thermal barrier coatings(TBCs).Pursuing optimal porosity is crucial to balance the requirements of thermal isolation and mechanical reliability since the pore structure shields thermal heat transfer but increases mechanical *** this work,we investigate how thermal heat transfer couples with fracture propagation in porous TBCs by the using thermo-mechanical coupling phase field model for *** simulated results show that cracks induced by thermal shock favor deflection that is sometimes perpendicular to the direction of heat *** thermal conductivity degradation by the transverse cracks significantly impedes thermal heat transfer,leads to enhanced reduction of the effective thermal conductivity of TBCs,decreases the average thermal stress of the substrate,and thus decreases the risk of the crack penetrating into the *** numerical results demonstrate that the phase field method fully considering the thermo-mechanical interaction between cracks and pores can be a useful tool to improve the thermal isolation of porous TBCs under extreme thermal shock loadings through pore structure design.

关键词： phasefield TBCs porosity thermal shock cracks

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On the Accuracy and Efficiency of the reactor Operation Digital Twin for Parameter Identification and State Estimation

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SSRN 2023年

作者： Hong, Lizhan Gong, Helin Ji, Hongjun Lu, Jialiang Li, Han Li, Qing Paris Elite Institute of Technology Shanghai Jiao Tong University Shanghai200240 China Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China Chengdu610041 China

Accurate and efficient online parameter identification and state estimation are crucial to leveraging Digital Twin simulations for optimizing the operation of near-carbon-free nuclear energy systems. In previous works, we have developed the idea of reactor Operation Digital Twin (RODT). However, non-differentiabilities and discontinuities arise when employing some machine learning based surrogate forward models, challenging traditional gradient-based inverse methods and their variants. This study investigates deterministic and metaheuristic algorithms and further develops hybrid algorithms to address such issues. An efficient modular RODT software framework is presented incorporating these methods into its post-evaluation module for comprehensive comparison. Methods are rigorously assessed based on convergence profiles, stability with respect to noise, and computational performance. Numerical results demonstrate that the hybrid KNNLHS algorithm delivers the optimal balance of accuracy and efficiency for real-time online applications. Meanwhile, algorithms like FSA, DE and ADE exhibit slower yet highly accurate performance. This work advances RODT methodologies to harness machine learning and systems modelling for improved reactor monitoring, systematic diagnosis of off-normal events, lifetime management strategies, etc. The developed modular software and novel optimization methods presented offer pathways to realize the full potential of RODT for transforming energy engineering practices. © 2023, The Authors. All rights reserved.

关键词： State estimation

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Smart structures with embedded flexible sensors fabricated by fused deposition modeling-based multimaterial 3D printing

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International Journal of Smart and Nano Materials 2022年第3期13卷 447-464页

作者： Huilin Ren Xiaodan Yang Zhenhu Wang Xuguang Xu Rong Wang Qi Ge Yi Xiong School of System Design and Intelligent Manufacturing Southern University of Science and TechnologyShenzhenP.R.China Department of Mechanical Engineering City University of Hong KongHong KongP.R.China Department of Mechanical and Energy Engineering Southern University of Science and TechnologyShenzhenP.R.China

Smart structures have the advantages of high system integrity and diverse sensing ***,the labor-intensive and timeconsuming fabrication process hinders the large-scale adoption of smart *** recent attempts to develop sensorembedded structures using 3D printing technologies,the reported smart structures generally suffer from the complex fabrication process,constrained part size,and limited sensing ***,we propose a workflow to design and fabricate novel smart structures via multi-material fused deposition modeling(FDM)-based 3D *** specifically,conductive filaments with tailorable mechanical and elec-trical properties,*** effects,were ***,the printing process was optimized for processing soft filaments with Young’s modulus around 2 MPa,resolving the issue of filament ***,the potential applications of the proposed workflow were showcased using three design cases,*** strain sensor,smart tire,and cable-driven soft finger with multiple sensing *** workflow provides a cost-effective and rapid solution for developing novel smart structures with soft materials.

关键词： Smart structures multimaterial additive manufacturing flexible strain sensor conductive polymer composites soft materials

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Numerical investigation of the critical heat flux in a 5 × 5 rod bundle with multi-grid

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Nuclear Engineering and technology 2022年第5期54卷 1914-1928页

作者： Liu, Wei Shang, Zemin Yang, Shihao Yang, Lixin Tian, Zihao Liu, Yu Chen, Xi Peng, Qian State Key Laboratory of Reactor System Design Technology Nuclear Power Institute of China Chengdu 610213 China School of Mechanical Electronic and Control Engineering Beijing Jiaotong University Beijing 100044 China

To improve the heat transfer efficiency of the reactor fuel assembly, it is necessary to accurately calculate the two-phase flow boiling characteristics and the critical heat flux (CHF) in the fuel assembly. In this paper, a Eulerian two-fluid model combined with the extended wall boiling model was used to numerically simulate the 5 × 5 fuel rod bundle with spacer grids (four sets of mixing vane grids and four sets of simple support grids without mixing vanes). We calculated and analyzed 11 experimental conditions under different pressure, inlet temperature, and mass flux. After comparing the CHF and the location of departure from the nucleate boiling obtained by the numerical simulation with the experimental results, we confirmed the reliability of computational fluid dynamic analysis for the prediction of the CHF of the rod bundle and the boiling characteristics of the two-phase flow. Subsequently, we analyzed the influence of the spacer grid and mixing vanes on the void fraction, liquid temperature, and secondary flow distribution. The research in this article provides theoretical support for the design of fuel assemblies. © 2021 Korean Nuclear Society

关键词： 5 × 5 rod bundle Critical heat flux Eulerian two-fluid model Flow boiling

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Deep learning-enabled real-time personal handwriting electronic skin with dynamic thermoregulating ability

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npj Flexible Electronics 2022年第1期6卷 621-631页

作者： Shengxin Xiang Jiafeng Tang Lei Yang Yanjie Guo Zhibin Zhao Weiqiang Zhang Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System Xi’an Jiaotong UniversityXi’an 710049China School of Aerospace Science and Technology Xidian UniversityXi’an 710049China

The rapid rise of the Internet of things(IoT)have brought the progress of electronic skin(e-skin).E-skin is used to imitate or even surpass the functions of human *** is one of the crucial functions of human skin,it is significant to develop a universal way to realize e-skin ***,inspired by the sweat gland structure in human skin,we report a simple method for achieving dynamic thermoregulating,attributing to the temperature of microencapsulated paraffin remains unchanged when phase change *** with the principle of triboelectric nanogenerator,a deep learning model is employed to recognize the output signals of handwriting different letters on ME-skin,and the recognition accuracy reaches 98.13%.Finally,realtime recognition and display of handwritings are successfully implemented by the ME-skin,which provides a general solution for thermoregulating e-skin and application direction for e-skin in the field of IoT.

关键词： IoT dynamic electronic

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Numerical simulation of a UAV impacting engine fan blades

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Chinese Journal of Aeronautics 2021年第10期34卷 177-190页

作者： Jingyu YU Bingjin LI Jun LIU Naidan HOU Yingchun ZHANG Yafeng WANG Yulong LI School of Aeronautics Northwestern Poly technical UniversityXi'an 710072China Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of ChinaChengdu 610213China Shanghai Aircraft Airworthiness Certification Center of CAAC Shanghai 200335China China Aircraft Strength Research Institute Xi'an 710065China

A 3D digital model of a small Unmanned Aerial Vehicle(UAV)is obtained by using the method of scanning reverse modeling and joint mapping.A numerical simulation of a small UAV strikes on rotary engine blades,presented in this paper,was performed with a Transient Nonlinear Finite Element code PAM-CRASH software.A test of motor strike on plate was developed and the dynamic response of the plate were obtained to validate the numerical simulation method of a UAV strike on *** on this,dynamic damage response caused by UAV on the engine blades were *** is indicated that the impact process between the UAV and a single blade can be divided into two typical stages:cutting and *** mainly leads to the failure of the leading edge material,and impact mainly leads to the plastic deformation of the *** the same time,it is compared with the damage impacted by bird with the same *** the same mass of bird and UAV,the damage caused by UAV striking fan blade is more serious,and 1.345 kg UAV striking fan blade of typical civil aviation engine is enough to cause damage to flight safety.

关键词： Airworthiness Bird impact Engine fan blade Explicit dynamics UAV

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Passivity-Based Distributed Averaging Control for Wide-Area Frequency Synchronisation with Time-Varying Power Demand

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IET Control Theory and Applications 2025年第1期19卷

作者： Kang, Heng Namerikawa, Toru Graduate School of Science and Technology Keio University Kanagawa Japan Department of System Design Engineering Keio University Kanagawa Japan

The frequency synchronisation problem of wide-area control from the higher level of networked power systems is considered. We investigate the asymptotic convergence and robustness of the passivity-based distributed averaging control used in damping the inter-area oscillations of power networks and coping with the time-varying power demand. A strict composite storage function is constructed that allows us to quantify the asymptotic convergence rate of the closed-loop system. Furthermore, the power sharing and (Formula presented.) gain performance are utilized as a tool to quantify the impact of time-varying power demand on control areas. We simulate the controller performance on a four-area network which is equivalent to the IEEE New England 39-Bus system. © 2025 The Author(s). IET Control Theory & Applications published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and technology.

关键词： Robust control

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LibAMM: empirical insights into approximate computing for accelerating matrix multiplication 24

LibAMM: empirical insights into approximate computing for ac...

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Proceedings of the 38th International Conference on Neural Information Processing systems

作者： Xianzhi Zeng Wenchao Jiang Shuhao Zhang National Engineering Research Center for Big DataTechnology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China and Nanyang Technological University Singapore University of Technology and Design National Engineering Research Center for Big DataTechnology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9798331314385

Matrix multiplication (MM) is pivotal in fields from deep learning to scientific computing, driving the quest for improved computational efficiency. Accelerating MM encompasses strategies like complexity reduction, parallel and distributed computing, hardware acceleration, and approximate computing techniques, namely AMM algorithms. Amidst growing concerns over the resource demands of large language models (LLMs), AMM has garnered renewed focus. However, understanding the nuances that govern AMM's effectiveness remains incomplete. This study delves into AMM by examining algorithmic strategies, operational specifics, dataset characteristics, and their application in real-world tasks. Through comprehensive testing across diverse datasets and scenarios, we analyze how these factors affect AMM's performance, uncovering that the selection of AMM approaches significantly influences the balance between efficiency and accuracy, with factors like memory access playing a pivotal role. Additionally, dataset attributes are shown to be vital for the success of AMM in applications. Our results advocate for tailored algorithmic approaches and careful strategy selection to enhance AMM's effectiveness. To aid in the practical application and ongoing research of AMM, we introduce LibAMM —a toolkit offering a wide range of AMM algorithms, benchmarks, and tools for experiment management. LibAMM aims to facilitate research and application in AMM, guiding future developments towards more adaptive and context-aware computational solutions.

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GCD-Sampling: A General Cross-scale Decoupled Sampling for Point Cloud 39

GCD-Sampling: A General Cross-scale Decoupled Sampling for P...

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39th Annual AAAI Conference on Artificial Intelligence, AAAI 2025

作者： Dai, Tao Wang, Yanzi Xiong, Jianyu Zha, Yaohua Xia, Shu-Tao Zhu, Zexuan College of Computer Science and Software Engineering Shenzhen University China National Engineering Laboratory for Big Data System Computing Technology Shenzhen University China Tsinghua Shenzhen International Graduate School Tsinghua University China Shenzhen City Key Laboratory of Embedded System Design Shenzhen China

ISBN: (纸本)157735897X

Sampling strategy (e.g., fixed farthest point sampling) of point cloud has been an essential step for developing practical solutions in 3D computer vision tasks. Previous fixed sampling is simple, but suffer from suboptimal performance for downstream tasks. To adapt to target networks properly, adaptive sampling methods with trainable parameters have been recently developed to enhance the performance. However, existing adaptive sampling methods still suffer from the over-coupling problem of target network, and thus become model-specific, which limits their practical applications. To address this issue, we propose a novel general cross-scale decoupled sampling method (GCD-sampling) for point cloud, which consists of original feature cache, cross-scale feature fusion and convex combination learning for better feature extraction. To reduce the coupling relationship with the target task network, our method only utilizes the point cloud coordinates as the input and output of itself. Besides, we introduce an arbitrary scale structure to enable parameter sharing across multi-scale sampling in point cloud networks. Extensive experiments on different architectures demonstrate the effectiveness of our method over other existing adaptive sampling methods. © 2025, Association for the Advancement of Artificial Intelligence (***). All rights reserved.

关键词： Feature extraction

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