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Role of iron ore in enhancing gasification of iron coke:Structural evolution,influence mechanism and kinetic analysis

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International Journal of Minerals,Metallurgy and Materials 2025年第1期32卷 58-69页

作者： Jie wang wei wang Xuheng Chen Junfang Bao Qiuyue Hao Heng Zheng Runsheng Xu School of Chemistry and Materials Science Hubei Engineering UniversityXiaogan 432000China Key Laboratory for Ferrous Metallurgy and Resources Utilization of Ministry of Education Wuhan University of Science and TechnologyWuhan 430081China Institue of Ironmaking Technology Baosteel Central Research InstituteShanghai 201999China State Key Laboratory of Advanced Metallurgy University of Science and Technology BeijingBeijing 100083China

The utilization of iron coke provides a green pathway for low-carbon *** uncover the influence mechanism of iron ore on the behavior and kinetics of iron coke gasification,the effect of iron ore on the microstructure of iron coke was ***,a comparative study of the gasification reactions between iron coke and coke was conducted through non-isothermal thermogravimetric *** findings indicate that compared to coke,iron coke exhibits an augmentation in micropores and specific surface area,and the micropores further extend and *** provides more adsorption sites for CO_(2) molecules during the gasification process,resulting in a reduction in the initial gasification temperature of iron *** the heating rate in non-isothermal gasification can enhance the reactivity of iron *** metallic iron reduced from iron ore is embedded in the carbon matrix,reducing the orderliness of the carbon structure,which is primarily responsible for the heightened reactivity of the carbon *** kinetic study indicates that the random pore model can effectively represent the gasification process of iron coke due to its rich pore ***,as the proportion of iron ore increases,the activation energy for the carbon gasification gradually decreases,from 246.2 kJ/mol for coke to 192.5 kJ/mol for iron coke 15wt%.

关键词： low-carbon ironmaking iron coke gasification structural evolution kinetic model

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SensFL:Privacy-Preserving Vertical Federated Learning with Sensitive Regularization

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 385-404页

作者： Chongzhen Zhang Zhichen Liu Xiangrui Xu Fuqiang Hu Jiao Dai Baigen Cai wei wang School of Automation and Intelligence Beijing Jiaotong UniversityBeijing100044China Shuohuang Railway Development Co. Ltd.National Energy GroupCangzhou062350China Beijing Key Laboratory of Security and Privacy in Intelligent Transportation School of Computer Science and TechnologyBeijing Jiaotong UniversityBeijing100044China

In the realm of Intelligent Railway Transportation Systems,effective multi-party collaboration is crucial due to concerns over privacy and data *** Federated Learning(VFL)has emerged as a promising approach to facilitate such collaboration,allowing diverse entities to collectively enhance machine learning models without the need to share sensitive training ***,existing works have highlighted VFL’s susceptibility to privacy inference attacks,where an honest but curious server could potentially reconstruct a client’s raw data from embeddings uploaded by the *** vulnerability poses a significant threat to VFL-based intelligent railway transportation *** this paper,we introduce SensFL,a novel privacy-enhancing method to against privacy inference attacks in ***,SensFL integrates regularization of the sensitivity of embeddings to the original data into the model training process,effectively limiting the information contained in shared *** reducing the sensitivity of embeddings to the original data,SensFL can effectively resist reverse privacy attacks and prevent the reconstruction of the original data from the *** experiments were conducted on four distinct datasets and three different models to demonstrate the efficacy of *** results show that SensFL can effectively mitigate privacy inference attacks while maintaining the accuracy of the primary learning *** results underscore SensFL’s potential to advance privacy protection technologies within VFL-based intelligent railway systems,addressing critical security concerns in collaborative learning environments.

关键词： Vertical federated learning privacy defenses

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Moment Redistribution Effect of the Continuous Glass Fiber Reinforced Polymer-Concrete Composite Slabs Based on Static Loading Experiment

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Structural Durability & Health Monitoring 2025年第1期19卷 105-123页

作者： Zhao-Jun Zhang Wen-wei wang Jing-Shui Zhen Bo-Cheng Li De-Cheng Cai Yang-Yang Du Hui Huang Offshore Oil Engineering Co.Ltd. Tianjin300461China Department of Bridge Engineering School of TransportationSoutheast UniversityNanjing211189China

This study aimed to investigate the moment redistribution in continuous glass fiber reinforced polymer(GFRP)-concrete composite slabs caused by concrete cracking and steel bar yielding in the negative bending moment *** experimental bending moment redistribution test was conducted on continuous GFRP-concrete composite slabs,and a calculation method based on the conjugate beam method was *** composite slabs were formed by combining GFRP profiles with a concrete layer and supported on steel beams to create two-span continuous composite slab *** methods,epoxy resin bonding,and stud connection,were used to connect the composite slabs with the steel *** experimental findings showed that the specimen connected with epoxy resin exhibited two moments redistribution phenomena during the loading process:concrete cracking and steel bar yielding at the internal *** contrast,the composite slab connected with steel beams by studs exhibited only one-moment redistribution phenomenon throughout the loading *** the concrete at the internal support cracked,the bending moment decreased in the internal support section and increased in the midspan *** the steel bars yielded,the bending moment further decreased in the internal support section and increased in the mid-span *** GFRP profiles do not experience cracking,there was no significant decrease in the bending moment of the mid-span *** test specimens experienced compressive failure of concrete at the mid-span *** results showed good agreement between the calculated and experimental values of bending moments in the mid-span section and internal support *** proposed model can effectively predict the moment redistribution behavior of continuous GFRP-concrete composite slabs.

关键词： Moment redistribution GFRP-concrete composite slabs bending moment experimental study analysis model

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基于优化重油加工路线的炼油转型升级实践与探讨

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石油炼制与化工 2025年第1期56卷 107-116页

作者：王伟中韩(武汉)石油化工有限公司武汉430082

以“小炼油、大乙烯”配置的炼化企业为例,从炼油总流程出发,分析其炼油盈利能力差的主要原因是重油加工路线不优化、催化重整(简称重整)装置和催化裂化装置加工能力偏低、焦化装置加工能力偏高、天然气制氢成本高。提出炼油转型升级的... 详细信息

以“小炼油、大乙烯”配置的炼化企业为例,从炼油总流程出发,分析其炼油盈利能力差的主要原因是重油加工路线不优化、催化重整(简称重整)装置和催化裂化装置加工能力偏低、焦化装置加工能力偏高、天然气制氢成本高。提出炼油转型升级的两步走思路,讨论了高掺渣催化裂化工艺在炼油转型升级中的效果与不足。在此基础上,利用炼油化工全流程模型,探讨了建设直馏柴油中压加氢改质装置和连续重整装置的必要性,并对建设溶剂脱沥青装置与固定床重油加氢装置进行了比选,为企业的下一步发展提供思路和方向。

关键词：炼油转型升级重油加工路线优化乙烯原料

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Tuning the porosity of {Co12IICo8III（μ3-OH）24（X）}11+ supramolecular frameworks by reaction time for D2/H2 separation

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Science China Chemistry 2025年

作者： Zhuozhou Xie Zhu Zhuo Zi-Ang Nan Qing Li Xiufang Li Zi-Xiu Lu Linzhe Lü Jin Liu Luyao Liu Wenjing wang wei wang Daqiang Yuan You-Gui Huang State Key Laboratory of Structure Chemistry Fujian Institute of Research on the Structure of Matter Chinese Academy of Sciences University of Chinese Academy of Sciences Xiamen Key Laboratory of Rare Earth Photoelectric Functional Materials Xiamen Institute of Rare Earth Materials Haixi InstitutesChinese Academy of Sciences State Key Laboratory of Physical Chemistry of Solid Surfaces Department of Chemistry College of Chemistry and Chemical EngineeringXiamen University

Systematicly tuning the porosities of porous materials is crucial for targeted gas mixture separation,yet it remains a longstanding *** a common strategy,altering the phenylene ring count in the organic building units has been exploited to adjust pore apertures in metal organic frameworks （MOFs） and covalent organic frameworks （COFs）,resulting in only a stepwise pore size variation of approximately 2.8?.Unlike MOFs and COFs,the porosities for supramolecular assembly frameworks are highly dependent on the packings of the molecular building units in the *** above strategy cannot be applied to supramolecular assembly frameworks and other strategies are required to adjust pore apertures in supramolecular frameworks,especially to achieve porous materials with the optimal pore size for D2/H2separation （～3?）.Here,we successfully modulate the porosity of supramolecular frameworks of[CoII1+12CoIII8L12（μ3-OH）24（X）]1clusters （L=mono-deprotonated 1-iminoisoindole-3-amine,X=ClO?4or Cl?） by controlling the duration of self-assembly *** simply adjusting the reaction time,we obtain three[CoII12CoIII8L12（μ3-OH）24（X）]11+supramolecular frameworks:[CoII12CoIII8（μ3-OH）24（ClO4）L12)]·（Cl）4·（HCO2）7（1）,[CoII12CoIII8L12（μ3-OH）24（Cl）]·（ClOI4）4·（Cl）6·（HCO2）·（H2O）10（2）,and[CoI12CoIII8L12（μ3-OH）24（Cl）]·（Cl）11·（H2O）12（3）.The different stacking patterns of the[CoII12CoIII8L12（μ3-OH）24（X）]11+clusters in these frameworks lead to significantly varied stabilities and *** 1 exhibits permanent porosity with interconnected channels and maintains stability under harsh *** contrast,compound 2 is nearly nonporous,and compound 3 becomes unstable upon *** pores of compound 1 show higher affinity to D2than H2,and the pore aperture diameter of compound 1 （～3.06?） meets the optimal porosity for D2/***,compound 1 demonstrates moderate D2/H2separation at 77 K (retention time:～7 min/g for D2/H2/Ne （10/10/80 vol%） in a flow of 5 mL

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Controllable synthesis of biomimetic wood stem nanoporous high entropy oxides catalysts for oxygen evolution reaction

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Nano Research 2025年第1期18卷 107-117页

作者： wei wang weiqi wang Huihui wang Xing Lu Jinwen Zhang Yunzhuo Lu School of Materials Science and Engineering Dalian Jiaotong UniversityDalian 116028China School of Intelligence and Electronic Engineering Dalian Neusoft University of InformationDalian 116023China Guangdong Key Laboratory of Materials and Equipment in Harsh Marine Environment Guangzhou Maritime UniversityGuangzhou 510725China

Bubbles generated during the oxygen evolution reaction(OER)in water splitting readily adhere to the electrode surface,thereby impeding contact between the electrolyte and the active sites,thereby increasing the ***,it is imperative to elucidate the bubble release behavior and engineer electrodes that facilitate faster bubble *** this study,inspired by the wood stem of the Norway spruce,we synthesized a gradient nanoporous high-entropy oxide(GNP-HEO)electrode with a controllable pore *** GNP-HEO,featuring a well-controlled gradient in pore size,is achieved through a straightforward strategy combining selective laser melting with selective phase *** unique gradient nanoporous structure not only facilitates bubble release but also diminishes the bubble shielding effect in OER,thereby enhancing electrocatalytic *** affect interaction of Al,Co,Cr,Fe,and Ni,coupled with the gradient nanoporous structure,yields exceptional OER performance,evidenced by an overpotential of 250 mV at a current density of 50 mA/cm^(2) and a Tafel slope of 38.0 mV/dec in 1 M *** functional theory calculations confirm that the GNPHEO adheres to the adsorbate evolution mechanism reaction pathway and exhibits significant *** work highlights a promising approach for the design and synthesis of high-performance OER electrocatalysts.

关键词： oxygen evolution reaction high-entropy oxides selective phase dis-solution selective laser melting gradient nanoporous

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Discovery of a new family member of arsenic–vanadium polyoxometalates with high catalytic performance for one-pot coupling of CO2, epoxides and amines

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Tungsten 2025年第1期 80-87页

作者： Fang-Qian wang Yin Zhang wei-wei wang Mei-Qian Fu Hong-Bing Mo wei-Dong Yu Chao Liu Jun Yan College of Chemistry and Chemical Engineering Central South University Junior Education Department Changsha Normal University School of Science Hunan University of Technology and Business

Arsenic-vanadium polyoxometalates（POMs） represent a family of tremendous potential catalysts owing to their peculiar physical and chemical *** in CO2conversion,using POMs to catalyze the conversion of CO2and epoxide into chemical intermediates is the research ***,A new family number of arsenic-vanadium POMs,[N（CH3）4]4[As8V12O38（H2O）]·2H2O({As8V12O38}),was reported and characterized by single-crystal X-ray diffraction,fourier transform infrared spectroscopy,X-ray photoelectron spectroscopy,*** from other allotropicity,{As8V12O38}shows a different structure pattern with an I-43d *** obtained {As8V12O38} was employed as a catalyst for the *** initial catalytic reaction confirmed that {As8V12O38} can catalyze the formation of epoxy carbonate by using 1.01 kPa CO2and epoxide at 70℃.Furtherly,when added amine in the catalytic system,oxazolidinone could be obtained by high yields,which provides an efficient way to convert CO2into profitable ***,a possible catalytic reaction mechanism was proposed by using different characterization analyses.{As8V12O38} first catalyzes the epoxide and CO2to form an epoxy carbonate and then catalyzes epoxy carbonate and benzylamine into oxazolidinone.

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融合BiLSTM与CNN的推特黑灰产分类模型

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计算机工程与应用 2025年第1期61卷 186-195页

作者：朱恩德王威高见中国人民公安大学信息网络安全学院北京100038

当前推特等国外社交平台,已成为从事网络黑灰产犯罪不可或缺的工具,对推特上黑灰产账号进行发现、检测和分类对于打击网络犯罪、维护社会稳定具有重大意义。现有的推文分类模型双向长短时记忆网络(bi-directional long short-term memor... 详细信息

当前推特等国外社交平台,已成为从事网络黑灰产犯罪不可或缺的工具,对推特上黑灰产账号进行发现、检测和分类对于打击网络犯罪、维护社会稳定具有重大意义。现有的推文分类模型双向长短时记忆网络(bi-directional long short-term memory,BiLSTM)可以学习推文的上下文信息,却无法学习局部关键信息,卷积神经网络(convolution neural network,CNN)模型可以学习推文的局部关键信息,却无法学习推文的上下文信息。结合BiLSTM与CNN两种模型的优势,提出了BiLSTM-CNN推文分类模型,该模型将推文进行向量化后,输入BiLSTM模型学习推文的上下文信息,再在BiLSTM模型后引入CNN层,进行局部特征的提取,最后使用全连接层将经过池化的特征连接在一起,并应用softmax函数进行四分类。模型在自主构建的中文推特黑灰产推文数据集上进行实验,并使用TextCNN、TextRNN、TextRCNN三种分类模型作为对比实验,实验结果显示,所提的BiLSTM-CNN推文分类模型在对四类推文进行分类的宏准确率为98.32%,明显高于TextCNN、TextRNN和TextRCNN三种模型的准确率。

关键词：文本分类双向长短期记忆网络(BiLSTM) 卷积神经网络(CNN) 黑灰产推特

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电动拖拉机犁耕机组阻力自适应作业控制研究

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农机化研究 2025年第4期47卷 224-229页

作者：王琪王旭东王威张硕崔永杰西北农林科技大学机械与电子工程学院陕西杨凌712100 陕西省农业信息感知与智能服务重点实验室陕西杨凌712100 农业农村部农业物联网重点实验室陕西杨凌712100

犁耕质量和效率对粮食高产至关重要,而以往基于悬挂高度调整以适应阻力变化来控制犁耕机组耕作效率存在耕深不均匀的问题。为此,以重心可调电动拖拉机犁耕机组为对象,提出了调定耕深下考虑速度和滑转率的阻力自适应作业控制方法。首先,... 详细信息

犁耕质量和效率对粮食高产至关重要,而以往基于悬挂高度调整以适应阻力变化来控制犁耕机组耕作效率存在耕深不均匀的问题。为此,以重心可调电动拖拉机犁耕机组为对象,提出了调定耕深下考虑速度和滑转率的阻力自适应作业控制方法。首先,建立了机组动力学模型并分析了阻力变化下机组的动态特性;然后,采用模糊神经网络控制算法调节驱动电机转矩和电池组位移,使牵引附着性能自动适应阻力变化,以实现速度和滑转率的联合控制;最后,进行了实车测试平台搭建和犁耕试验。结果表明:耕速最大偏差仅为0.48 km/h,相比于控制前滑转率降低了21.42%,牵引效率提高了7.76%。在恒定耕深下机组作业稳定性和效率得以提高,为电动拖拉机的自动化和智能化精准作业提供了技术支持。

关键词：电动拖拉机犁耕作业自适应控制牵引效率

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电动拖拉机复合式振动馈能系统设计及试验

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农机化研究 2025年第4期47卷 230-235页

作者：王旭东王琪王威陈雨崔永杰西北农林科技大学机械与电子工程学院陕西杨凌712100 陕西省农业信息感知与智能服务重点实验室陕西杨凌712100 农业农村部农业物联网重点实验室陕西杨凌712100

为了回收和利用电动拖拉机行驶过程中产生的振动能量,基于浮动电池组提出了一种压电-机械电磁复合式振动馈能装置;然后,根据装置的电压输出特性构建了包含整流滤波、LM317稳压、超级电容储能和Boost升压模块的电能提取电路,以满足蓄电... 详细信息

为了回收和利用电动拖拉机行驶过程中产生的振动能量,基于浮动电池组提出了一种压电-机械电磁复合式振动馈能装置;然后,根据装置的电压输出特性构建了包含整流滤波、LM317稳压、超级电容储能和Boost升压模块的电能提取电路,以满足蓄电池充电需求;最后,进行了复合式振动馈能系统的实车试验。结果表明:电动拖拉机车速为4 km/h时,馈能装置的最大输出电压为34.80 V,平均输出功率为0.57 W;经过等效计算,由复合式馈能系统回收的电能可使电动拖拉机的续航时间延长0.784 7 h。研究结果可为我国电动拖拉机的电能补给和工作时间延长提供理论与技术支撑。

关键词：电动拖拉机振动能量回收复合式振动馈能装置电能提取电路

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