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Thermo-driven oleogel-based self-healing slippery surface behaving superior corrosion inhibition to Mg-Li alloy

Journal of Magnesium and Alloys 2023年第12期11卷 4710-4723页

作者： Yibo Ouyang Huijun Kang Enyu Guo Ri Qiu Keqiang Su Zongning Chen Tongmin Wang Key Laboratory of Solidification Control and Digital Preparation Technology(Liaoning Province) School of Materials Science and EngineeringDalian University of TechnologyDalian 116024PR China Ningbo Institute of Dalian University of Technology Ningbo 315000PR China College of Safety and Environmental Engineering Shandong University of Science and TechnologyQingdao 266590PR China State Key Laboratory for Marine Corrosion and Protection Luoyang Ship Material Research InstituteQingdao 266101PR China Institute of Yellow River Delta Earth Surface Processes and Ecological Integrity Shandong University of Science and TechnologyPR China

Bioinspired by Nepenthes, lubricant infused surfaces(LIS) have attracted widespread attention in the field of anticorrosion. However,the lubricant coating has some disadvantages such as complex construction processing and easy loss of oil phase in air or dynamic water phase. In this study, oleogel is infused into a lotus leaf inspired super-hydrophobic matrix to form an oleogel infused surface(OIS) for enhancing corrosion resistance of active Mg-Li alloy. For reserving oleogel, firstly, a facile one-step electrodeposition method is used to construct super-hydrophobic surface(SHS) composed by samarium/myristic acid complex micro-nano flower structure onto Mg-Li *** coating exhibits excellent superhydrophobic property at a static contact angle of 160° by applying 30 V electrolysis for 30 min. The protection efficiency of single SHS highly relates with the metal itself. For short period immersion in water phase, SHS can afford protection to Mg-Li alloy. However, the long-term immersion will see the rapid failure of SHS, and the high activity of Mg-Li alloy is one main *** assume that SHS cannot be a good choice for protecting Mg-Li alloy. Then, a Nepenthes inspired liquid coating is formed by infusing oleogel into the micro-nano structure by a spin-coating method. The liquid coating performs prominent corrosion resistance with Rctreaching as high as 1.51 × 10^(10)Ω cm^(2). After the mechanical damage from the external environment, the liquid coating can realize self-repair through thermal assistance, and the liquid coating can still restore Rctup to 1.24 × 10^(10)Ω cm^(2) after healing. The corrosion resistance of the liquid coating remains strong by showing Rctas high as 1.14 × 10^(9)Ω cm^(2), even after immersion in representative corrosive 3.5 wt% Na Cl solution for 30 d.

关键词： Mg-Li alloy Oleogel Superhydrophobic Self-healing Corrosion

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Short-Term Traffic Flow Prediction of Highway Tunnels Based on SSA and Improved TSK Fuzzy System

Short-Term Traffic Flow Prediction of Highway Tunnels Based ...

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2023 China Automation Congress, CAC 2023

作者： Huang, Zhijing Chen, Kang Xu, Zhezhuang Zeng, Qinbo Xu, Zhibin College of Electrical Engineering and Automation Fuzhou University Key Laboratory of Industrial Automation Control Technology and Information Processing Education Department of Fujian Province Fuzhou350000 China

ISBN: (纸本)9798350303759

Aiming at the problem that the traffic flow has an low prediction accuracy due to varying randomness and high nonlinearity, an improved TSK fuzzy neural network prediction model by singular spectrum analysis is ***, the original traffic flow time series can be decomposed into several subseries by singular spectrum analysis (SSA). Then, the Takagi-Sugeno-Kang (TSK) fuzzy system was trained using simulated annealing genetic algorithm (SAGA) and minibatch gradient descent method (MBGD) combined with three techniques (RDA) of regularization, DropRule and *** prediction model of TSK fuzzy neural network is established to predict each subseries independently, and the forecasted traffic flow is obtained by superimposing the prediction results of each subseries. Finally, the traffic flow dataset of expressway tunnels in a city is used to verify the effectiveness of the model. Experimental results can show high traffic flow prediction accuracy of the model, and the model can accurately predict multiple different highway tunnels. © 2023 IEEE.

关键词： Forecasting

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TEPEN International Workshop on Fault Diagnostics and Prognostics, TEPEN-IWFDP 2024

作者： Xu, Shuai Zhang, Chao Zhang, Jing Fei, Hongbo Wu, Le College of Mechanical Engineering Inner Mongolia University of Science and Technology Baotou014010 China Inner Mongolia Key Laboratory for Intelligent Diagnosis and Control of Electromechanical Systems Baotou014010 China

ISBN: (纸本)9783031702341

To solve the problem of low prediction accuracy of the traditional similarity matching method, a similarity matching remaining life prediction method combining monotonicity and Spearman correlation is proposed. Firstly, monotonicity is used to screen the time domain and frequency domain features of the bearings, and then Spearman correlation is used to extract the nonlinear relationship of the screened features. Next, the extracted features are fused using principal component analysis to construct the health indexes that characterize the degradation trend of the bearings. An autoregressive moving model is then used to construct a similarity model, in which the Manhattan distance is used to measure the degree of similarity between the two curves and to make the remaining life estimation. Finally, the validation is carried out on the public dataset PHM2012 dataset and compared with Poly2 and Exp1. The experimental results show that the proposed method can effectively improve the remaining life prediction accuracy, which proves the effectiveness and superiority of the proposed method. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Prediction models

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Remaining Life Prediction Method for Rolling Bearings Based on RLMD-SCINet

Remaining Life Prediction Method for Rolling Bearings Based ...

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TEPEN International Workshop on Fault Diagnostics and Prognostics, TEPEN-IWFDP 2024

作者： Zhang, Jing Zhang, Chao Xu, Shuai Wu, Le Fei, Hongbo College of Mechanical Engineering Inner Mongolia University of Science and Technology Baotou014010 China Inner Mongolia Key Laboratory for Intelligent Diagnosis and Control of Electromechanical Systems Baotou014010 China

ISBN: (纸本)9783031702341

In order to address the problem that existing deep learning methods are not sufficient for feature mining, which leads to low prediction accuracy, a remaining life prediction method combining robust locally mean decomposition with sample convolutional interaction network is proposed. Firstly, the Root Mean Square (RMS) is extracted from the bearing vibration signals as a health indicator reflecting the overall degradation performance of the bearings, and then the health indicators are decomposed by the Robust Locally Mean Decomposition (RLMD) so as to explore the potential information inside them, and then the decomposed components of the health indicators are imported into the SCINet network model for the prediction of the lifespan. Finally, the validation is carried out on the public dataset PHM2012 dataset and compared with the Long Short-Term Memory Network (LSTM) and Temporal Convolutional Network (TCN) models. The experimental results show that the proposed method can fully exploit the potential characteristics of bearings and effectively improve the accuracy of bearing remaining life prediction. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Electronic health record

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Integrated online identification of aerodynamic and thrust parameters for air-breathing aircraft 3

Integrated online identification of aerodynamic and thrust p...

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2024 3rd International Conference on Aerospace and control engineering, ICoACE 2024

作者： Jiang, Zhenyu Li, Xiaodong Liu, Shuang College of Aerospace Science and Engineering National University of Defense Technology Hunan Changsha410073 China Hunan Provincial Key Laboratory of Aerospace Cross-Domain Flight Vehicle System and Control Technology Changsha410073 China

A method for integrated online identification of aerodynamic and thrust parameters has been proposed. Firstly, a motion model of an aircraft powered by a solid rocket ramjet engine was established in the longitudinal plane. Secondly, polynomial models of aerodynamic and thrust coefficients were established for the horizontal flight segment. Then, an integrated online identification simulation of aerodynamic and thrust parameters was carried out using the unscented Kalman filter method. The results indicate that the proposed method has high identification accuracy and efficiency. © 2025 Institute of Physics Publishing. All rights reserved.

关键词： Kalman filters

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Noble and Non-Noble Metal Based Catalysts for Electrochemical Nitrate Reduction to Ammonia:Activity,Selectivity and Stability

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Electrochemical Energy Reviews 2024年第1期7卷 1384-1422页

作者： Israr Masood ul Hasan Nengneng Xu Yuyu Liu Muhammad Zubair Nawaz Haitao Feng Jinli Qiao State Key Laboratory for Modification of Chemical Fibers and Polymer Materials College of Environmental Science and EngineeringDonghua UniversityShanghai 201620China Institute for Sustainable Energy College of SciencesShanghai UniversityShanghai 200444China Shanghai Institute of Pollution Control and Ecological Security Shanghai 200092China Laboratory of 2D Optoelectronics and Nanoelectronics(L2DON) Department of Materials Science and EngineeringSouthern University of Science TechnologyShenzhen 518055GuangdongChina Key Laboratory of Green and High-End Utilization of Salt Lake Resources Qinghai Institute of Salt LakesChinese Academy of SciencesXining 810008QinghaiChina

Excessive nitrate(NO_(3)^(-))contamination has emerged as a critical environmental issue owing to the widespread use of nitrogen-based fertilizers,fossil fuel combustion,and the discharge of industrial and domestic ***,electrochemical nitrate reduction(eNO_(3)R)to ammonia(NH3)has emerged as a promising alternative to the traditional Haber-Bosch ***,the industrial implementation ofeNO_(3)R is hindered by low catalytic activity,poor selectiv-ity,and limited stability owing to competing hydrogen evolution *** paper provides a comprehensive overview of recent advancements ineNO_(3)R,particularly evaluating the catalytic activity,selectivity,and stability of both noble and non-noble metal *** review elucidates innovative catalyst design strategies,state-of-the-art developments,and potential directions for future ***,the paper explores the fundamental mechanisms underlyingeNO_(3)R forNH_(3)production,including electrocatalyst development methodologies,electrolyte effects,in situ characterization techniques,theoretical modeling,and cell design ***,factors influencingNH_(3)selectivity and catalyst structural composition are thoroughly ***,this review provides comprehensive insights into optimizingeNO_(3)R processes for synthesizingNH_(3),which can promote further advancements in this field.

关键词： Nitrate reduction Electrocatalysis NH_(3)production Activity Selectivity Stability

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Insight into the formation of iodinated tr ihalomethanes dur ing chlor ination,monochloramination, and dichloramination of iodide-containing water

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Journal of Environmental sciences 2022年第7期34卷 285-294页

作者： Shuang Zhang Yi-Li Lin Tian-Yang Zhang Chen-Yan Hu Zhi Liu Zheng-Yu Dong Meng-Yuan Xu Bin Xu State Key Laboratory of Pollution Control and Resource Reuse Key Laboratory of Yangtze Water EnvironmentMinistry of EducationCollege of Environmental Science and EngineeringTongji UniversityShanghai 200092China Shanghai Institute of Pollution Control and Ecological Security Shanghai 200092China Department of Safety Health and Environmental Engineering“National”Kaohsiung University of Science and TechnologyKaohsiung 824Chinese Taipei College of Environmental and Chemical Engineering Shanghai University of Electric PowerShanghai 200090China

In this study, the formation of iodinated trihalomethanes(I-THMs) was systematically evaluated and compared for three treatment processes-(i) chlorination,(ii) monochloramine, and(iii) dichloramination-under different p H conditions. The results demonstrated that ITHM formation decreased in the order of monochloramination > dichloramination > chlorination in acidic and neutral p H. However, the generation of I-THMs increased in the dichloramination < chlorination < monochloramination order in alkaline condition. Specifically, the formation of I-THMs increased as p H increased from 5 to 9 during chlorination and monochloramination processes, while the maximum I-THM formation occurred at pH 7 during dichloramination. The discrepancy could be mainly related to the stability of the three chlor(am) ine disinfectants at different p H conditions. Moreover, in order to gain a thorough insight into the mechanisms of I-THM formation during dichloramination, further investigation was conducted on the influencing factors of DOC concentration and Br/Imolar ratio. I-THM formation exhibited an increasing and then decreasing trend as the concentration of DOC increased from 1 to 7 mg-C/L, while the yield of I-THMs increased with increasing Br/Imolar ratio from 5:0 to 5:10. During the three processes mentioned above, similar I-THM formation results were also obtained in real water, which indicates that the excessive generation of I-THMs should be paid special attention during the disinfection of iodide-containing water.

关键词： Inorganic chloramine Iodinated trihalomethanes(I-THMs) Chlorination Monochloramination Dichloramination Bromide to iodide ratio

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Autonomous Implicit Indoor Scene Reconstruction with Frontier Exploration

arXiv

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arXiv 2024年

作者： Zeng, Jing Li, Yanxu Sun, Jiahao Ye, Qi Ran, Yunlong Chen, Jiming College of Control Science and Engineering Zhejiang University Hangzhou310027 China College of Control Science and Engineering The State Key Laboratory of Industrial Control Technology Zhejiang University The Key Key Lab of CS&AUS of Zhejiang Province China

Implicit neural representations have demonstrated significant promise for 3D scene reconstruction. Recent works have extended their applications to autonomous implicit reconstruction through the Next Best View (NBV) based method. However, the NBV method cannot guarantee complete scene coverage and often necessitates extensive viewpoint sampling, particularly in complex scenes. In the paper, we propose to 1) incorporate frontier-based exploration tasks for global coverage with implicit surface uncertainty-based reconstruction tasks to achieve high-quality reconstruction. and 2) introduce a method to achieve implicit surface uncertainty using color uncertainty, which reduces the time needed for view selection. Further with these two tasks, we propose an adaptive strategy for switching modes in view path planning, to reduce time and maintain superior reconstruction quality. Our method exhibits the highest reconstruction quality among all planning methods and superior planning efficiency in methods involving reconstruction tasks. We deploy our method on a UAV and the results show that our method can plan multi-task views and reconstruct a scene with high quality. Copyright © 2024, The Authors. All rights reserved.

关键词： Motion planning

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Water use in the industrial sector based on the IPAC model under the carbon-neutral transformation path in China

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Advances in Climate Change Research 2024年第6期15卷 1130-1146页

作者： Yu-Jie JIAO Ke-Jun JIANG Sha CHEN Pian-Pian XIANG Chen-Min HE Beijing University of Technology College of Environmental Science and EngineeringKey Laboratory of Beijing on Regional Air Pollution ControlBeijing 100124China Energy Research Institute Chinese Academy of Macroeconomic ResearchBeijing 100045China Institutes of Science and Development Chinese Academy of SciencesBeijing 100190China Zhejiang Carbon Neutral Innovation Institute Zhejiang University of TechnologyHangzhou 310014China

To examine the impact of promoting transformative hydrogen-based technologies on water demand in traditional high-energy and high-water-consuming sectors under the carbon-neutral transition,this study investigates the industrial sector transformation *** compares the water consumption of current production processes with future hydrogen-based and advanced water-saving *** developing a model,the study analyses the water-saving potential of 54 water-saving and hydrogen-based technologies across three water consumption scenarios and evaluates their impact on industrial water *** study highlights the pivotal role of water-saving technologies in transforming industrial sectors,particularly in the paper and textile industries,where zero-emission technologies have considerably reduced water *** savings in the paper industry are projected to increase from 24.29 Mt in 2025 to 101.44 Mt in 2050,representing an 8.5%*** the chemical fibre sector,additional water savings are expected to reach 106.93 Mt by 2050,with an 11.6%increase in water-saving ***,the textile dyeing and finishing sector is anticipated to achieve an additional water saving of 26.45 Mt by 2050,corresponding to a 17.5%*** findings indicate that the adoption of hydrogen-based technologies will considerably reduce water consumption in traditionally high-water-consuming industries such as steel,synthetic ammonia,ethylene,and *** reduction becomes particularly evident by 2050 under the baseline pathway and low water consumption scenarios,in which the impact of water-saving technologies becomes less *** 2050,water consumption in the steel,ethylene,synthetic ammonia,and methanol industries is projected to decrease to 985.93,59.11,242.4,and 268.29 Mt,*** findings highlight the potential of hydrogen-based technologies in advancing water *** 2050,the chemical industry is projected to reduce water stress by tr

关键词： Carbon neutrality industrial water Water-saving technology Hydrogen-based technology Steel Chemical industry

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Semi-Cervixseg: A Multi-Stage Training Strategy for Semi-Supervised Cervical Segmentation

Semi-Cervixseg: A Multi-Stage Training Strategy for Semi-Sup...

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IEEE International Symposium on Biomedical Imaging

作者： Juntao Jiang Yali Bi Chunlin Zhou Yong Liu Jiangning Zhang College of Control Science and Engineering Zhejiang University College of Computer and Information Science Southwest University State Key Laboratory of Industrial Control Technology Zhejiang University Youtu Lab Tencent

ISBN: (数字)9798331520526

ISBN: (纸本)9798331520533

Image segmentation plays a critical role in computer-aided diagnosis and treatment planning for cervical cancer. Obtaining a large number of labeled images for supervised cervical segmentation is often labor-intensive and time-consuming. In this paper, we propose a multi-stage semi-supervised learning framework (Semi-CervixSeg) to address the cervical seg-mentation task in ultrasound images for Fetal Ultrasound Grand Challenge: Semi-Supervised Cervical Segmentation in ISBI 2025. Specifically, in the initial stage, we utilize unlabeled data through a multi-view random augmentation strategy, using consistency constraints and a contrastive learning method. Subsequently, a progressive multi-stage training strategy is adopted to generate and optimize pseudo-labels, further improving segmentation results. Experimental re-sults demonstrate that the proposed method significantly im-proves segmentation performance compared with supervised methods. As a technical report for the challenge, this paper elaborates on our methodology and experimental findings in detail. The code can be accessed at h t t p s: / / g i t hub. com/juntaoJianggavin/Semi-CervixSeg.

关键词： Training Image segmentation Ultrasonic imaging Codes Contrastive learning Semisupervised learning Writing Data models Planning Computer aided diagnosis

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