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Dual-filler reinforced PVDF-HFP based polymer electrolyte enabling high-safety design of lithium metal batteries

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Nano Research 2024年第6期17卷 5251-5260页

作者： Chang Fang Kangsheng Huang Jing Zhao Shiqi Tian hui dou Xiaogang Zhang Jiangsu Key Laboratory of Electrochemical Energy Storage Technologies College of Materials Science and TechnologyNanjing University of Aeronautics and AstronauticsNanjing 210016China

Despite the high energy density of lithium metal batteries(LMBs),their application in rechargeable batteries is still hampered due to insufficient ***,we present a novel flame-retardant solid-state electrolyte based on polyvinylidene fluoride-hexafluoropropylene(PVDF-HFP)with nano SiO_(2)aerogel as an inert filler but Li_(6.4)La_(3)Zr_(1.4)Ta_(0.6)O_(12)(LLZTO)as an auxiliary component to enhance the ion *** introduction of SiO_(2)aerogels imparts the polymer electrolyte with exceptional thermal stability and flame ***,the interaction between hydroxyl groups of SiO_(2)particles and PVDF-HFP creates a strong cross-linking structure,enhancing the mechanical strength and stability of the ***,the presence of SiO_(2)aerogel and LLZTO facilitates the dissociation of lithium salts through Lewis acid-base interactions,resulting in a high ionic conductivity of 1.01×10^(−3)S·cm^(−1)and a wide electrochemical window of~5.0 V at room temperature for the prepared ***,the assembled Li|Li cell demonstrates the excellent resistance to lithium dendrite and runs stablly for over 1500 h at a current density of 0.25 mA·cm^(−2).Thus,we prepare a pouch cell with high safety,which can work normally after short-circuiting under the external folding and cutting.

关键词： polymer electrolyte SiO_(2)/Li_(6.4)La_(3)Zr_(1.4)Ta_(0.6)O_(12)(LLZTO)dual-filler non-flammable long cycle life lithium metal battery

CO_(2) corrosion of X80 steel welded joints under micro-turbulence induced by welding reinforcement height

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Journal of Iron and Steel Research International 2024年第4期31卷 1015-1032页

作者： Xiao-hui dou Bin Li Zong-hao He Xin-wei Zhang Da-lei Zhang Yan Li School of Materials Science and Engineering China University of Petroleum(East China)Qingdao 266580ShandongChina School of Energy and Power Engineering Jiangsu UniversityZhenjiang 212013JiangsuChina

Corrosion failure accidents owing to flow erosion and pipeline corrosion frequently occur during *** welding reinforcement height(WRH)can induce locally micro-turbulent flow field,which aggravates local corrosion of welded joints.A high wall shear stress(WsS)experimental setup was established to conduct the online electrochemical corrosion *** influence of WRH sizes on local corrosion of welded joints was studied at different flow *** electrochemical signals of the local corrosion of X80 welded joints at different flow rates were monitored in real time using electrochemical impedance spectroscopy and wire beam *** addition,the corrosion products composition and properties were *** results show that the micro-turbulent flow fields induced by the WRHs can enhance ion mass transfer near the welded *** corrosion products on the WRH surface also present different microscopic morphologies at different flow *** strong flow fields,the locally enhanced wsS can peel off the dense corrosion product partially,leading to the electrochemical distribution of large cathode and small anode,which accelerates the occurrence and development processes of the local corrosion of welded *** scientific guidelines for the corrosion protection of long-distance oil and gas pipelines can be potentially provided.

关键词： X80 steel welded joint Welding reinforcement height Micro-turbulence CO_(2)corrosion-Ion mass transfer

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卷积神经网络的可解释性研究综述

软件学报 2024年第1期35卷 159-184页

作者：窦慧张凌茗韩峰申富饶赵健计算机软件新技术国家重点实验室(南京大学) 江苏南京210023 南京大学计算机科学与技术系江苏南京210023 南京大学人工智能学院江苏南京210023 南京大学电子科学与工程学院江苏南京210023

神经网络模型性能日益强大,被广泛应用于解决各类计算机相关任务,并表现出非常优秀的能力,但人类对神经网络模型的运行机制却并不完全理解.针对神经网络可解释性的研究进行了梳理和汇总,就模型可解释性研究的定义、必要性、分类、评估... 详细信息

神经网络模型性能日益强大,被广泛应用于解决各类计算机相关任务,并表现出非常优秀的能力,但人类对神经网络模型的运行机制却并不完全理解.针对神经网络可解释性的研究进行了梳理和汇总,就模型可解释性研究的定义、必要性、分类、评估等方面进行了详细的讨论.从解释算法的关注点出发,提出一种神经网络可解释算法的新型分类方法,为理解神经网络提供一个全新的视角.根据提出的新型分类方法对当前卷积神经网络的可解释方法进行梳理,并对不同类别解释算法的特点进行分析和比较.同时,介绍了常见可解释算法的评估原则和评估方法.对可解释神经网络的研究方向与应用进行概述.就可解释神经网络面临的挑战进行阐述,并针对这些挑战给出可能的解决方向.

关键词：神经网络可解释性分类深度学习

An online electricity cost budgeting algorithm for maximizing green energy usage across data centers

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Frontiers of Computer Science 2017年第4期11卷 661-674页

作者： hui dou Yong QI School of Electronic and Information Engineering Xi'an Jiaotong University Xi'an 710049 China

With the sky-rocketing development of Internet services, the power usage in data centers has been signifi- cantly increasing. This ever increasing energy consumption leads to negative environmental impact such as global warming. To reduce their carbon footprints, large Internet service operators begin to utilize green energy. Since green energy is currently more expensive than the traditional brown one, it is important for the operators to maximize the green en- ergy usage subject to their desired long-term （e.g., a month） cost budget constraint. In this paper, we propose an online algorithm GreenBudget based on the Lyapunov optimization framework. We prove that our algorithm is able to achieve a delicate tradeoff between the green energy usage and the en- forcement of the cost budget constraint, and a control parameter V is the knob to arbitrarily tune such a tradeoff. We evaluate GreenBudget utilizing real-life traces of user requests, cooling efficiency, electricity price and green energy avail- ability. Experimental results demonstrate that under the same cost budget constraint, GreenBudget can increase the green energy usage by 11.55% compared with the state-of-the-art work, without incurring any performance violation of user requests.

关键词： electricity cost budgeting green energy coolingefficiency data center Lyapunov optimization

基于PIWT-IPSO-BP的污水厂出水COD含量的预测模型

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中国农村水利水电 2024年第9期 15-20,28页

作者：张净窦慧芸蒋武刘晓梅江苏大学电气信息工程学院江苏镇江212013 镇江市水业有限责任公司江苏镇江212000 江苏科茂信息技术有限公司江苏镇江212000

在农业灌溉的领域中,化学需氧量(Chemical Oxygen Demand,COD)的测定是衡量水体中有机物污染程度的一个重要指标。当COD浓度超过60mg/L时,其对土壤质量和农作物的生长产生的负面影响成为不容忽视的问题。这一现象可能会严重影响农作物... 详细信息

在农业灌溉的领域中,化学需氧量(Chemical Oxygen Demand,COD)的测定是衡量水体中有机物污染程度的一个重要指标。当COD浓度超过60mg/L时,其对土壤质量和农作物的生长产生的负面影响成为不容忽视的问题。这一现象可能会严重影响农作物的产量和质量,进而对农作物生产的可持续性构成挑战。因此,有必要精确预测污水处理厂出水COD浓度的变化趋势,从而促进其在农业灌溉中的有效应用。研究结合了改进的小波变换、改进的粒子群优化(Improved Particle Swarm Optimization,IPSO)算法和反向传播BP(Back Propagation,BP)神经网络作为预测模型。鉴于COD受到众多因素的影响,这些因素之间存在复杂的耦合关系,采用PCA进行特征提取。考虑到数据采集的过程中不可避免的噪声干扰,应用小波降噪对原始数据进行处理,以确保数据质量,提高模型准确性。在此基础上,基于BP神经网络算法构建污水处理厂出水COD的预测模型。为了解决BP神经网络参数选择可能遇到的盲目性问题,引入改进的粒子群算法对模型进行参数优化,以提高预测精度。实验结果表明,提出的PIWT-IPSO-BP模型预测效果良好,其平均绝对误差、均方根误差和决定系数分别为0.222、0.386和0.984。该模型在一定程度上改善了数据噪声、多因子制约等问题,为污水循环利用技术应用于农业灌溉方面提供了参考依据。

关键词：化学需氧量预测模型小波变换粒子群优化算法 BP神经网络

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基于KANO-QFD的挖掘机信息界面设计研究

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设计 2024年第4期37卷 148-151页

作者：窦慧张建敏贵州大学机械工程学院

为有效获取挖掘机用户核心需求,基于用户需求确定设计关键要素,从而提高驾驶员对挖掘机信息界面操作的满意度。通过KJ法和用户访谈法获取挖掘机信息界面用户需求要素,根据KANO模型分析用户需求并得到需求重要度,结合QFD方法构建质量屋... 详细信息

为有效获取挖掘机用户核心需求,基于用户需求确定设计关键要素,从而提高驾驶员对挖掘机信息界面操作的满意度。通过KJ法和用户访谈法获取挖掘机信息界面用户需求要素,根据KANO模型分析用户需求并得到需求重要度,结合QFD方法构建质量屋得到设计要素优先级。界面布局有序、信息反馈设计、界面导航设计需求权重最大,是挖掘机信息界面设计的重要设计要素。通过KANO模型和QFD方法的结合,验证了该方法在解决挖掘机信息界面设计问题上的可行性,为其他工程车辆信息界面的设计提供了方法上的指导。

关键词：挖掘机 KANO-QFD 信息界面设计用户需求设计要素

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Thermally Chargeable Proton Capacitor Based on Redox-Active Effect for Energy Storage and Low-Grade Heat Conversion

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Energy & Environmental Materials 2023年第1期6卷 384-391页

作者： Yufeng An Zhiwei Li Yao Sun Zhijie Chen Jiangmin Jiang hui dou Xiaogang Zhang Jiangsu Key Laboratory of Electrochemical Energy Storage Technologies College of Material Science and TechnologyNanjing University of Aeronautics and AstronauticsNanjing 211106China

Thermal energy is abundantly available in our daily life and industrial production,and especially,low-grade heat is often regarded as a *** and utilizing this ignored energy by low-cost and simple technologies may become a smart countermeasure to relieve the energy ***,a unique device has been demonstrated to achieve high value-added conversion of low-grade heat by introducing redox-active organic alizarin(AZ)onto N-doped hollow carbon nanofibers(N–HCNF)***-prepared N–HCNF/AZ can deliver a high specific capacitance of 514.3 F g^(-1)(at 1 A g^(-1))and an outstanding rate capability of 60.3%even at 50 A g^(-1).Meanwhile,the assembled symmetric proton capacitor can deliver a high energy density of 28.0 Wh kg^(-1) at 350.0 W kg^(-1) and a maximum power density of 35.0 kW kg^(-1) at 17.0 Wh kg^(-1).Significantly,the thermally chargeable proton capacitors can attain a surprisingly high Seebeck coefficient of 15.3 mV K^(-1) and a power factor of 6.02µW g^(-1).Taking advantage of such high performance,a satisfying open-circuit voltage of 481.0 mV with a temperature difference of 54 K is *** research provides new insights into construction of high value-added energy systems requiring high electrochemical performances.

关键词： capacitors low-grade heat redox-active effect thermal chargeability

Formation control with obstacle avoidance of second-order multi-agent systems under directed communication topology

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Science China(Information Sciences) 2019年第9期62卷 144-157页

作者： Guoxing WEN C.L.Philip CHEN hui dou Hongli YANG Chunfang LIU College of Science Binzhou University Department of Computer and Information Science Faculty of Science and Technology University of Macau College of Navigation Dalian Maritime University State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences Mathematics and Systems Science College Shandong University of Science and Technology

This paper addresses the obstacle avoidance problem of formation control for the multi-agent systems modeled by double integrator dynamics under a directed interconnection topology. The control task is finished by a leader-follower formation scheme combined with an artificial potential field(APF) *** leader-follower scheme is carried out by taking the desired trajectory with the desired velocity as virtual leader, while the APF method is carried out by dealing with the obstacles as the high potential points. When the obstacle avoidance tasks are finished, the artificial potential forces degrade the formation performance, so their undesired effects are treated as disturbances, which is analyzed by the robust H∞performance. Based on Lyapunov stability theory, it is proved that the proposed formation approach can realize the control objective. The result is also extended to the switching multi-agent formation. The effectiveness of the proposed formation scheme is further confirmed by simulation studies.

关键词： formation control obstacle avoidance artificial potential field method H_∞ performance second-order multi-agent system directed topology

Analysis of flow instabilities in forced-convection steam generator

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Nuclear Science and Techniques 2006年第3期17卷 185-192页

作者： WU Ge-Ping QIU Sui-Zheng SU Guang-hui JIA dou-Nan State Key Laboratory of Multiphase Flow in Power Engineering Xi＇an Jiaotong University Xi＇ an 710049 China

Because of the practical importance of two-phase instabilities, substantial efforts have been made to date to understand the physical phenomena governing such instabilities and to develop computational tools to model the dynamics. The purpose of this study is to present a numerical model for the analysis of flow-induced instabilities in forced-convection steam generator. The model is based on the assumption of homogeneous two-phase flow and ther- modynamic equilibrium of the phases. The thermal capacity of the heater wall has been included in the analysis. The model is used to analyze the flow instabilities in the steam generator and to study the effects of system pressure, mass flux, inlet temperature and inlet/outlet restriction, gap size, the ratio of do / di, and the ratio of qi / qo on the system be- havior.

关键词：蒸汽发生器强迫对流流动不稳定性双相不稳定性