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SSRN 2023年

作者： Sun, Yumeng Li, Jie Wei, Zonglan Ai, Zhelun Miao, Heng Deng, Jian Sino-French Institute of Nuclear Engineering and Technology Sun Yat-sen University Guangdong Zhuhai519082 China Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China Sichuan Chengdu610213 China

Plate-type fuel is widely used due to its strong heat transfer capability, and its narrow rectangular geometry has different effects on flow heat transfer than traditional rectangular channels. Therefore, in this work, In this work, Direct Numerical Simulation(DNS) of a narrow rectangular duct was performed with the aim of analyzing flow and heat transfer phenomena and constructing a database of turbulent flow. The open-source program Nek5000 based on the spectral element method is used, the geometry is 0.57×0.00367×0.05 m with a high Aspect Ratio(AR) of 13.6, and the bulk Reynolds number is 24000 with a heat flux of 560 kW/m2. Common turbulence statistics like the time mean field, reynolds stress, turbulent heat flux distribution profile, and turbulent kinetic energy budget are obtained. The distribution of Reynolds stress and turbulent kinetic energy budget was analyzed, and the impact of high aspect ratio and material properties on flow and heat transfer was investigated. Additionally, the effects of single-sided and double-sided heating were studied. The turbulent flow database obtained from this study will be utilized for the later evaluation of turbulence models. © 2023, The Authors. All rights reserved.

关键词： Direct numerical simulation

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An Improved Method for Underwater Image Super-Resolution and Enhancement 4

An Improved Method for Underwater Image Super-Resolution and...

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4th IEEE International Conference on Electronics technology, ICET 2021

作者： Li, Hao Zhang, Changhua Wan, Naijia Chen, Qian Wang, Donghun Song, Danrong University of Electronic Science and Technology of China School of Mechanical and Electrical Engineering Chengdu China University of Electronic Science and Technology of China School of Information and Software Engineering Chengdu China Technology Laboratory Nuclear Power Institute of China Science and Technology on Reactor System Design Chengdu China

ISBN: (纸本)9781728176734

Underwater object detection and recognition are still challenging because of the degradation caused by the complex underwater imaging environment and lighting conditions. Aiming at the problems of the simultaneous enhancement and super-resolution (SESR), a method with single image super-resolution and enhancement of underwater imagery is proposed. Firstly, an underwater image super-resolution algorithm is proposed to remove blurring, and then an end-to-end underwater image enhancement network is used to compensate for color casts and produce natural color enhancement images. In addition, we verify the effectiveness of the proposed model through qualitative analysis and quantitative experiments and compare the performance with several state-of-the-art models, which show that the proposed method performs better. © 2021 IEEE.

关键词： Image enhancement

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Larger Recovery Strain in a Conisi Alloy Due to Enhanced Reversibility of FccHcp Martensitic Transformation

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SSRN 2023年

作者： Liao, Qi Wang, Dian Yang, Xiao He, Wei Yang, X. Peng, H.B. Wen, Y.H. School of Mechanical Engineering Sichuan University Chengdu China Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China Chengdu China School of of Mechanical Engineering Hebei University of Technology Tianjin China School of Manufacturing Science & Engineering China

It is not clear how coherent ordered nanoparticles affect characteristics of FCCHCP martensitic transformation in disordered alloys. In this paper, the precipitations of coherent ordered nanoparticles and their effects on the FCCHCP martensitic transformation were systematically investigated in a solution-treated Co24Ni6Si shape memory alloy. The results showed that both the coherent ordered L12 structured and L11 structured nanoparticles could precipitate even in the solution-treated Co24Ni6Si alloy followed by water quenching. The L12 structured nanoparticles strongly hindered the occurrence of stress-induced HCP martensitic transformation and its reverse transformation, but their hindrance dramatically reduced with the decrease of size when below 1.5 nm. The coherent ordered nanoparticles did not convert the nonthermoelastic FCCHCP martensitic transformation to the thermoelastic ones owing to absence of group-subgroup relation between the parent phase and martensite. A maximal recovery strain of 6.7% was obtained after only aging at 1073 K for 1 min. This value was 1~2% higher than the reported maximal ones in conventional FeMnSi-based alloys subjected to complicated thermomechanical treatments. The enhanced reversibility of HCP martensitic transformation could account for this larger recovery strain by the ultrafine coherent ordered L12 structured nanoparticles. © 2023, The Authors. All rights reserved.

关键词： Martensitic transformations

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Semantic Segmentation of Substation Scenes Using Attention-Based Model 4

Semantic Segmentation of Substation Scenes Using Attention-B...

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4th IEEE International Conference on Electronics technology, ICET 2021

作者： Chen, Qian Zhang, Changhua Li, Hao Wan, Naijia Wang, Donghui Xu, Bin University of Electronic Science and Technology of China School of Information and Software Engineering Chengdu China University of Electronic Science and Technology of China School of Mechanical and Electrical Engineering Chengdu China Nuclear Power Institute of China Science and Technology on Reactor System Design Technology Laboratory Chengdu China

ISBN: (纸本)9781728176734

Inspection robots are widely used in transformer substation for inspection tasks. In order to complete the task, the robots need to understand and recognize road scenes. However, the transformer substation contains lots of similar and small equipment, which are difficult to recognize. To address this problem, we propose a semantic segmentation model to recognize road scenes. Specifically, our proposed model discriminates the equipment by leveraging multi-view method. We use attention mechanism to strengthen the relationship between pixels that belong to an individual category. Compared with previous methods, our approach achieves a good performance in a new dataset from a transformer substation and shows robustness in recognizing equipment of transformer substation. © 2021 IEEE.

关键词： Roads and streets

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Road Damage Detection and Classification Based on Multi-Scale Contextual Features

Road Damage Detection and Classification Based on Multi-Scal...

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2022 IEEE International Conference on Big Data, Big Data 2022

作者： Yang, Lu He, Hualin Liu, Tao Tianjin University of Technology Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin300384 China Tianjin University of Technology National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin300384 China

ISBN: (纸本)9781665480451

Road damage detection is particularly essential for improving road traffic safety. Existing methods do not perform well due to complex road conditions and sparse features contained in road damage. Therefore, we propose a new road damage detection network - YPLNet, which could obtain more refined multi-scale contextual features. Specifically, the network proposed in this paper is based on YOLOv5, by adding the PSA module to the backbone network, the spatial information of the feature map at multi-scale is obtained to enrich the feature space, and the long-term information dependence between channels is further constructed. In addition, in the feature fusion stage, the LCFI module is utilized to obtain contextual features under the multi-scale receptive fields, and these contextual features include rich low-level and high-level information. Our proposed network achieves a Mean-F1 Score of 0.635 in the competition. The source code and model are publicly available at https://***/hehualin-tut/YPLNet © 2022 IEEE.

关键词： Damage detection

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Corrosive Effect on Saturated Pool Boiling Heat Transfer Characteristics of Metallic Surfaces with Hierarchical Micro/Nano Structures

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SSRN 2023年

作者： Xu, Wei Tang, Longchang Zhao, Ningkang Ouyang, Kun Zeng, Chang Liu, Xiaojing He, Xiaoqiang College of Smart Energy Shanghai Jiao Tong University Shanghai200240 China Shanghai200240 China Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China Chengdu610041 China

Surface modification is of critical interest to enhance boiling heat transfer in terms of heat transfer coefficient or critical heat flux (CHF), which is significantly affected by distinct surface morphology and wettability and it can improve the efficiency and safety of equipment. Furthermore, actual service environment may cause severe corrosion to the processed structured surfaces while its consequence on boiling heat transfer is still obscure. In this research, comprehensive researches are conducted to unravel corrosive effect on metallic samples made of stainless steel (SS) and Inconel materials with microstructures. Different constructions (i.e., microgroove, microcavity and micropillar array) and characteristic dimensions (~20, 50 μm) of microstructure, various duration time (up to 300 days) and pH values (~7.0 to 8.5) of corrosive environment are compared thoroughly. Conclusions can be drawn that not all microstructures can enhance pool boiling heat transfer characteristics, especially in terms of CHF values. More importantly, CHF value of SS microgroove sample firstly increases from 60.94 to 94.09 W·cm-2 in 50 days, then decreases to 47.77 W·cm-2 in 300 days, which can be attributed to competition result between formation of hierarchical micro/nano structure with enhancing wicking capability and chemistry condition with increasing contact angle. In addition, distinct bubble dynamics during pool boiling is also analyzed. The insights obtained from this article can be used to guide surface modification method and to reveal evolvement rule of engineered metallic surface in highly corrosive and harsh boiling heating transfer environment. © 2023, The Authors. All rights reserved.

关键词： Corrosive effects

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Stay in touch with the endoplasmic reticulum

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science china(Life sciences) 2024年第2期67卷 230-257页

作者： Sha Sun Gan Zhao Mingkang Jia Qing Jiang Shulin Li Haibin Wang Wenjing Li Yunyun Wang Xin Bian Yan G.Zhao Xun Huang Ge Yang Huaqing Cai Jose C.Pastor-Pareja Liang Ge Chuanmao Zhang Junjie Hu National Laboratory of Biomacromolecules Institute of BiophysicsUniversity of Chinese Academy of SciencesChinese Academy of SciencesBeijing 100101China The Ministry of Education Key Laboratory of Cell Proliferation and Differentiation College of Life SciencesPeking UniversityBeijing 100871China State Key Laboratory of Membrane Biology Tsinghua-Peking Center for Life SciencesSchool of Life SciencesTsinghua UniversityBeijing 100084China Laboratory of Computational Biology&Machine Intelligence School of Artificial IntelligenceUniversity of Chinese Academy of SciencesBeijing 100049China State Key Laboratory of Medicinal Chemical Biology College of Life SciencesNankai UniversityTianjin 300071China Brain Research Center Department of BiologySchool of Life SciencesSouthern University of Science and TechnologyShenzhen 518055China State Key Laboratory of Molecular Developmental Biology Institute of Genetics and Developmental BiologyInnovation Academy for Seed DesignChinese Academy of SciencesBeijing 100101China Institute of Neurosciences Consejo Superior de Investigaciones Científicas-Universidad Miguel HernándezSan Juan de Alicante 03550Spain

The endoplasmic reticulum(ER),which is composed of a continuous network of tubules and sheets,forms the most widely distributed membrane system in eukaryotic *** a result,it engages a variety of organelles by establishing membrane contact sites(MCSs).These contacts regulate organelle positioning and remodeling,including fusion and fission,facilitate precise lipid exchange,and couple vital signaling ***,we systematically review recent advances and converging themes on ER-involved organellar *** molecular basis,cellular influence,and potential physiological functions for ER/nuclear envelope contacts with mitochondria,Golgi,endosomes,lysosomes,lipid droplets,autophagosomes,and plasma membrane are summarized.

关键词： endoplasmic reticulum nuclear envelope mitochondria Golgi apparatus endosome lysosome lipid droplets autophagosome plasma membrane membrane contact site

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An Induction Curing Technique for Cfrp Laminate Via Magnetic Particle-Induced In-Situ Heating

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SSRN 2024年

作者： Li, Yichao Hu, Xiafen Hao, Lei Liang, Jiqiu Wu, Dan Sun, Ao Jin, Peng School of Aerospace Engineering Huazhong University of Science and Technology Hubei Wuhan430074 China Hubei Key Laboratory of Advanced Aerospace Propulsion Technology System Design Institute of Hubei Aerospace Technology Academy Hubei Wuhan430040 China

Curing high-performance CFRP structures with economical and energy-efficient techniques other than oven or autoclave is important for the widespread application of the composite. In this work, a novel magnetic particle-induced in-situ heating method to cure CFRP laminates with various layup sequences was proposed. Heating characteristics, mechanical properties and porosities of [0]8, [0/90]4s and [0/45/90/-45]2s CFRP laminates were experimentally investigated. Results showed that all the laminates can undergo a consistent, layup-independent two-staged heating curve via regulating the magnetic field intensity. Under 5.5h curing time and 13wt% magnetic particle loading, flexural strength and modulus of three stacking-sequenced CFRP laminates cured by induction heating were 12.4%, 6.3%, 21.9% and 9.9%, 10.9%, 5.4% higher than oven cured counterparts. While porosity slightly increased by 0.85%, 0.62%, 0.56%. Although detailed parameterized research should be conducted, the proposed new curing method showed great potential for fabricating advanced CFRP composite structures without autoclave or oven. © 2024, The Authors. All rights reserved.

关键词： Ovens

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Dynamic Event-Triggered Consensus on Matrix-Weighted Networks: Leadless Case 42

Dynamic Event-Triggered Consensus on Matrix-Weighted Network...

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42nd Chinese Control Conference, CCC 2023

作者： Dou, Lintao Wei, Haoyu Huang, Jian Pan, Lulu Shao, Haibin Li, Dewei College of Intelligent Science National University of Defense Technology Changsha410003 China Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai Engineering Research Center of Intelligent Control and Management Department of Automation Shanghai200240 China

ISBN: (纸本)9789887581543

This paper examines the event-triggered consensus of the multi-agent system on matrix-weighted networks, where the interdependencies among higher-dimensional states of neighboring agents are characterized by matrix-weighted edges in the network. Specifically, a novel distributed dynamic event-triggered coordination strategy is proposed for this category of generalized networks, in which an auxiliary system is employed for each agent to dynamically adjust the triggering threshold, which plays an essential role in guaranteeing that the triggering time sequence does not exhibit Zeno behavior. Distributed event-triggered control protocols are proposed to guarantee leaderless consensus for multi-agent systems on matrix-weighted networks, respectively. Remarkably, the spectrum of matrix-valued weights is crucial in event-triggered mechanism design for matrix-weighted networks, generalizing those results only applicable for scalar-weighted networks. The proposed approach allows each agent to broadcast and receive information only at its triggering instants. Finally, simulation examples are provided to demonstrate the theoretical results. © 2023 Technical Committee on Control Theory, Chinese Association of Automation.

关键词： Multi agent systems

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Network Link Existence Prediction Method Based on Graph Autoencoder 12th

Network Link Existence Prediction Method Based on Graph Auto...

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12th International Conference on Computer Engineering and Networks, CENet 2022

作者： Yang, Guorui Feng, Tao Huo, Yonghua Tang, Shidang Qu, Zhenying The 54th Research Institute of CETC Hebei Shijiazhuang China National Key Laboratory of Science and Technology on Information System Security Institute of System Engineering Chinese Academy of Military Science Beijing China New China Life Insurance Co. LTD. Hebei Branch Hebei Shijiazhuang China State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing China

ISBN: (纸本)9789811969003

With the development of computer technology, people have higher and higher requirements for network link quality, which brings new challenges to network management and analysis. By applying link prediction to computer network scenarios, link existence information in the network can be predicted, which facilitates network management and analysis. At present, graph autoencoder is one of the most important models for link prediction. However, the existing model does not take node centrality into account and may have the problem of over-fitting. Therefore, for the scenario of network link state prediction, we design a network link prediction model based on node centrality and noise injection in this paper. In this model, noise is injected before training, and then the decoder is improved based on the variational graph autoencoder model. Node importance index and the weights of the trained nodes are used to add coefficients to the decoder. Finally, the model is proved to be effective in link connectivity prediction. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Network management

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