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甘油微胶囊搭载硅烷环氧共混涂层的耐蚀性研究

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材料导报 2024年第7期38卷 249-254页

作者：赵清平亢淑梅邹方正朱忠博李鹏宇辽宁科技大学材料与冶金学院沈阳114051

为了提高金属基体的耐蚀性,采用溶剂蒸发法制备了水包油乳液体系的聚砜包覆甘油的微胶囊,并在基体表面制备了含有微胶囊的硅烷环氧共混涂层。通过扫描电镜、红外、热重、电化学分析对微胶囊和含有微胶囊的环氧硅烷共混涂层的形貌结构、... 详细信息

为了提高金属基体的耐蚀性,采用溶剂蒸发法制备了水包油乳液体系的聚砜包覆甘油的微胶囊,并在基体表面制备了含有微胶囊的硅烷环氧共混涂层。通过扫描电镜、红外、热重、电化学分析对微胶囊和含有微胶囊的环氧硅烷共混涂层的形貌结构、热稳定性、耐蚀性等进行研究。结果表明:以聚砜为壁材包裹的微胶囊的平均粒径为150μm,且聚砜对甘油的包封效率为12%,胶囊的热分解温度为320℃。在3.5%(质量分数,下同)NaCl溶液浸泡下,当硅烷的添加量为3%时,硅烷的水解缩合弥补了环氧涂层的缺陷,使硅烷环氧共混涂层的阻抗模值提高到8×10^(6)Ω·cm^(-2);此外,添加微胶囊的硅烷环氧涂层由于微胶囊中缓释剂的释放吸附在金属基体表面,延缓了金属腐蚀的速度,阻抗模值提高到2×10^(7)Ω·cm^(-2),耐蚀性增强。

关键词：甘油聚砜微胶囊自修复涂层耐蚀性

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四川省能源消费与经济增长关系实证研究

西部经济管理论坛 2020年第4期31卷 1-7,16页

作者：王莉邹方政西华大学能源与动力工程学院四川成都610039

能源消费与经济增长的关系一直是能源经济学关注的热点问题,不同学者在研究时选取的区域差异、数据长度和检验方法都会影响对二者关系的描述。基于此,本文以1988-2016年四川省能源消费总量和四川省地区生产总值(GDP)的数据为基础,运用... 详细信息

能源消费与经济增长的关系一直是能源经济学关注的热点问题,不同学者在研究时选取的区域差异、数据长度和检验方法都会影响对二者关系的描述。基于此,本文以1988-2016年四川省能源消费总量和四川省地区生产总值(GDP)的数据为基础,运用协整分析和格兰杰(Granger)因果检验对四川省能源消费与经济增长关系进行研究。研究结果表明:四川省能源消费与经济增长之间存在长期的均衡关系,而且四川省GDP的增长会直接导致能源消费的增长,但是能源消费的增长并不会导致四川省GDP的增长。

关键词：能源消费经济增长平稳性检验协整 Granger因果关系

基于LMDI及STIRPAT模型的中国工业能源消费碳排放峰值预测研究

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西部经济管理论坛 2023年第6期34卷 90-99页

作者：宋岚王莉邹方政西华大学能源与动力工程学院四川成都610039 成都市工业经济和信息化研究院四川成都610073

工业是能源消费碳排放的主要领域,文章以中国工业部门作为主要研究对象,运用LMDI方法将影响中国工业能源消费碳排放量的因素分解为经济增长、能源强度、能源结构、工业产业结构等四个方面,在测算2005—2019年中国工业部门碳排放量的基础... 详细信息

工业是能源消费碳排放的主要领域,文章以中国工业部门作为主要研究对象,运用LMDI方法将影响中国工业能源消费碳排放量的因素分解为经济增长、能源强度、能源结构、工业产业结构等四个方面,在测算2005—2019年中国工业部门碳排放量的基础上,运用岭回归方法构建扩展STIRPAT模型,与情景分析法相结合,对中国工业部门的碳达峰年份及峰值进行预测。结果显示,经济增长是影响碳排放最主要的因素,能源强度对碳排放有较强的负影响。在基准情景下,工业部门在2035年才出现碳达峰,为实现2030年前碳达峰的目标,文章从转变经济增长方式、优化产业结构、提高能源效率等方面进行路径优化,在低碳情境下,中国工业部门预计将于2028年实现碳达峰。

关键词： LMDI方法 STIRPAT模型碳达峰情景分析碳排放

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环氧树脂醇解回收再制备固化动力学研究

西安交通大学学报 2024年第7期58卷 94-104页

作者：赵鑫李文栋郭旺杨雄郭广致邹方正高国新张冠军西安交通大学电工材料电气绝缘全国重点实验室西安710049 国网冀北电力有限公司廊坊供电公司河北廊坊065099 西安交通大学化学学院西安710049

针对利用环氧树脂醇解产物制备新树脂固化工艺缺乏分析的问题,首先运用非等温差示扫描量热法,研究了醇解产物含量对再制备树脂固化行为的影响。随后通过固化动力学模型,确定了再制备树脂的固化条件,并以此制备得到新树脂,测量了其介电... 详细信息

针对利用环氧树脂醇解产物制备新树脂固化工艺缺乏分析的问题,首先运用非等温差示扫描量热法,研究了醇解产物含量对再制备树脂固化行为的影响。随后通过固化动力学模型,确定了再制备树脂的固化条件,并以此制备得到新树脂,测量了其介电性能。结果表明:当醇解产物替代双酚A二缩水甘油醚质量分数为25%时,再制备树脂的预固化温度小于120℃,后固化温度为160.57℃,这是因为,醇解产物中的羟基可促进环氧基的开环反应,使得再制备树脂的固化温度随醇解产物含量增加而降低;再制备树脂符合自催化双参数固化动力学模型,总反应级数大于1,且固化过程中的表观活化能Ea是固化程度α的函数,基于Ea(α)函数得到试样实际固化程度接近理论值;与原始环氧树脂相比,再制备树脂的相对介电常数、介质损耗和击穿电场强度有所增加,其介电性能满足电工用环氧树脂使用要求。该研究内容为醇解回收再制备环氧树脂的固化工艺提供了经验和指导。

关键词：环氧树脂醇解回收固化动力学

Multi-model ensemble learning for battery state-of-health estimation:Recent advances and perspectives

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Journal of Energy Chemistry 2025年第1期100卷 739-759页

作者： Chuanping Lin Jun Xu Delong Jiang Jiayang Hou Ying Liang Zhongyue zou Xuesong Mei State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiaotong University Shaanxi Key Laboratory of Intelligent Robots School of Mechanical Engineering Xi'an Jiaotong University Department of Electrical Engineering and Automation Luoyang Institute of Science and Technology School of Mechanical Engineering Hangzhou Dianzi University

The burgeoning market for lithium-ion batteries has stimulated a growing need for more reliable battery performance monitoring. Accurate state-of-health(SOH) estimation is critical for ensuring battery operational performance. Despite numerous data-driven methods reported in existing research for battery SOH estimation, these methods often exhibit inconsistent performance across different application scenarios. To address this issue and overcome the performance limitations of individual data-driven models,integrating multiple models for SOH estimation has received considerable attention. Ensemble learning(EL) typically leverages the strengths of multiple base models to achieve more robust and accurate outputs. However, the lack of a clear review of current research hinders the further development of ensemble methods in SOH estimation. Therefore, this paper comprehensively reviews multi-model ensemble learning methods for battery SOH estimation. First, existing ensemble methods are systematically categorized into 6 classes based on their combination strategies. Different realizations and underlying connections are meticulously analyzed for each category of EL methods, highlighting distinctions, innovations, and typical applications. Subsequently, these ensemble methods are comprehensively compared in terms of base models, combination strategies, and publication trends. Evaluations across 6 dimensions underscore the outstanding performance of stacking-based ensemble methods. Following this, these ensemble methods are further inspected from the perspectives of weighted ensemble and diversity, aiming to inspire potential approaches for enhancing ensemble performance. Moreover, addressing challenges such as base model selection, measuring model robustness and uncertainty, and interpretability of ensemble models in practical applications is emphasized. Finally, future research prospects are outlined, specifically noting that deep learning ensemble is poised to advance ens

关键词： Lithium-ion battery State-of-health estimation Data-driven Machine learning Ensemble learning Ensemble diversity

Effect of lamellarization on the microstructure and mechanical properties of marine 10Ni5CrMoV steel

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International Journal of Minerals,Metallurgy and Materials 2025年第2期32卷 402-413页

作者： Tao zou Yanwu Dong Zhouhua Jiang Shuyang Du Yushuo Li School of Metallurgy Northeastern UniversityShenyang 110819China Key Laboratory of Rolling and Automation Northeastern UniversityShenyang 110819China Key Laboratory for Ecological Metallurgy of Multimetallic Ores(Ministry of Education) Northeastern UniversityShenyang 110819China

Multistage heat treatment involving quenching(Q),lamellarizing(L),and tempering(T)is applied to marine 10Ni5CrMoV *** microstructure and mechanical properties were studied by multiscale characterizations,and the kinetics of reverse austenite transformation,strain hardening behavior,and toughening mechanism were further *** lamellarized specimens possess low yield strength but high toughness,especially cryogenic *** leads to the development of film-like reversed austenite at the martensite block and lath boundaries,refining the martensite structure and lowering the equivalent grain *** analysis of austenite reversion based on the JMAK model shows that the isothermal transformation is dominated by the growth of reversed austenite,and the maximum transformation of reversed austenite is reached at the peak temperature(750℃).The strain hardening behavior based on the modified Crussard-Jaoul analysis indicates that the reversed austenite obtained from lamellarization reduces the proportion of martensite,significantly hindering crack propagation via martensitic transformation during the *** a consequence,the QLT specimens exhibit high machinability and low yield *** with the QT specimen,the ductile-brittle transition temperature of the QLT specimens decreases from-116 to-130℃due to the low equivalent grain size and reversed austenite,which increases the cleavage force required for crack propagation and absorbs the energy of external load,*** work provides an idea to improve the cryogenic toughness of marine 10Ni5CrMoV steel and lays a theoretical foundation for its industrial application and comprehensive performance improvement.

关键词： 10Ni5CrMoV steel lamellarizing reversed austenite cryogenic toughness ductile-brittle transition temperature

Induced neural stem cells regulate microglial activation through Akt-mediated upregulation of CXCR4 and Crry in a mouse model of closed head injury

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Neural Regeneration Research 2025年第5期20卷 1416-1430页

作者： Mou Gao Qin Dong Dan zou Zhijun Yang Lili Guo Ruxiang Xu Department of Neurosurgery Sichuan Academy of Medical Sciences and Sichuan Provincial People’s HospitalSchool of MedicineUniversity of Electronic Science and Technology of ChinaChengduSichuan ProvinceChina Department of Neurosurgery Chinese PLA General HospitalBeijingChina Department of Neurology Fu Xing HospitalCapital Medical UniversityBeijingChina

Microglial activation that occurs rapidly after closed head injury may play important and complex roles in neuroinflammation-associated neuronal damage and *** previously reported that induced neural stem cells can modulate the behavior of activated microglia via CXCL12/CXCR4 signaling,influencing their activation such that they can promote neurological ***,the mechanism of CXCR4 upregulation in induced neural stem cells remains *** this study,we found that nuclear factor-κB activation induced by closed head injury mouse serum in microglia promoted CXCL12 and tumor necrosis factor-αexpression but suppressed insulin-like growth factor-1 ***,recombinant complement receptor 2-conjugated Crry(CR2-Crry)reduced the effects of closed head injury mouse serum-induced nuclear factor-κB activation in microglia and the levels of activated microglia,CXCL12,and tumor necrosis factor-α.Additionally,we observed that,in response to stimulation(including stimulation by CXCL12 secreted by activated microglia),CXCR4 and Crry levels can be upregulated in induced neural stem cells via the interplay among CXCL12/CXCR4,Crry,and Akt signaling to modulate microglial *** agreement with these in vitro experimental results,we found that Akt activation enhanced the immunoregulatory effects of induced neural stem cell grafts on microglial activation,leading to the promotion of neurological recovery via insulin-like growth factor-1 secretion and the neuroprotective effects of induced neural stem cell grafts through CXCR4 and Crry upregulation in the injured cortices of closed head injury ***,these beneficial effects of Akt activation in induced neural stem cells were positively correlated with the therapeutic effects of induced neural stem cells on neuronal injury,cerebral edema,and neurological disorders post–closed head *** conclusion,our findings reveal that Akt activation may enhance the immunoregulatory effects of induced neura

关键词： Akt signaling cerebral edema closed head injury Crry CXCR4 induced neural stem cell microglia neuroinflammation

Visible-light-responsive homologous heterostructure of oxynitrides constructed to boost charge separation and water splitting

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Science China Chemistry 2025年第01期 186-191页

作者： Hai zou Yunfeng Bao Xueshang Xin Yu Qi Tengfeng Xie Fuxiang Zhang State Key Laboratory of Catalysis Dalian National Laboratory for Clean Energy Dalian Institute of Chemical Physics Chinese Academy of Sciences School of Chemistry and Chemical Engineering Liaoning Normal University College of Chemistry Jilin University

Constructing type II heterostructures represents a widely recognized strategy for enhancing charge separation and photocatalytic efficiency,but it remains challenging to fabricate homologous heterostructures based on visible-light-responsive semiconductors,especially for popularly investigated （oxy）nitrides with low thermal ***,we synthesized a homologous heterostructure （denoted as YTON＿H） based on the oxynitrides of YTaO4-xNyand YTa *** heterostructure exhibits type II band structure alignment and intimate interface achieved through a magnesium （Mg） powder-assisted nitridation *** with widely reported heterologous heterostructures,the as-obtained YTON＿H homologous heterostructure could similarly exhibit enhanced charge separation as well as photocatalytic water splitting performance with respect to its counterparts(YTaO4-xNyand YTaON2).Meanwhile,detailed structural characterizations and spectroscopy analysis have been made to confirm the formation of heterostructure and promotion of spatial charge separation.

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表面微孔阵列结构调控二次电子发射特性研究

空间电子技术 2022年第4期19卷 99-106页

作者：黄昆杨宁杨雄邹方正宋佰鹏张冠军西安交通大学电气工程学院中国电力科学研究院有限公司电网环境保护国家重点实验室

固体介质的二次电子发射受到材料成分、元素构成、表面状况等因素影响，其中表面状况对于二次电子发射系数起着至关重要的作用，表面微结构调控入射电子在材料表面的运动状态和碰撞频率，进而影响二次电子发射。基于粒子路径追踪算法，... 详细信息

固体介质的二次电子发射受到材料成分、元素构成、表面状况等因素影响，其中表面状况对于二次电子发射系数起着至关重要的作用，表面微结构调控入射电子在材料表面的运动状态和碰撞频率，进而影响二次电子发射。基于粒子路径追踪算法，建立了一次电子与材料表面碰撞模型，研究了微孔阵列结构参数对二次电子发射系数的调控机制，分析了微孔阵列单元深度、孔径和面积占比的影响规律。研究发现，通过设置合理的结构单元深度和宽度，可以实现对二次电子发射系数的调节。单元孔径宽度为2mm、深度为5mm、数目为169时，二次电子发射系数降低了57%。研究结论可为脉冲功率、航天领域的沿面放电机理分析和抑制提供理论和数据支撑。

关键词：微孔阵列结构二次电子发射系数路径追踪