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Journal of Bionic Engineering 2024年第3期21卷 1360-1374页

作者： Weilan liu Kunlong li Yizhou Shen Huanyu Zhao Yaru Ni Zeyu Cai lingfeng Zhao Zhen Wang Institute of Advanced Materials(IAM) School of Materials Science and EngineeringNanjing Tech UniversityNanjing211816China College of Materials Science and Technology Nanjing University of Aeronautics and AstronauticsNanjing211100China Aviation Industry Aerodynamics Research Institute of China Shenyang110000China

Superhydrophobic coatings with high non-wetting properties are widely applied in anti-icing ***,the micro-nanostructures on the surfaces of superhydrophobic coatings are fragile under external forces,resulting in reduced ***,mechanical strength and durability play a crucial role in the utilization of superhydrophobic *** this study,we employed a two-step spraying method to fabricate superhydrophobic FEVE-based coatings with exceptional mechanical durability,utilizing fluorinated TiO_(2)nanoparticles and fluorinated Al_(2)O_(3)microwhiskers as the *** composite coating exhibited commendable non-wetting properties,displaying a contact angle of 164.84°and a sliding angle of 4.3°.On this basis,the stability of coatings was significantly improved due to the interlocking effect of Al_(2)O_(3)*** 500 tape peeling cycles,500 sandpaper abrasion tests,and 50 kg falling sand impact tests,the coatings retained superhydrophobicity,exhibiting excellent durability and application ***,the ice adhesion strength on the coatings was measured at only 65.4 kPa,while the icing delay time reached 271.8 s at-15℃.In addition,throughout 500 freezing/melting cycles,statistical analysis revealed that the superhydrophobic coatings exhibited a freezing initiation temperature as low as-17.25℃.

关键词： Superhydrophobic coatings Anti-icing Mechanical durability

Machine learning for predicting fatigue properties of additively manufactured materials

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Chinese Journal of Aeronautics 2024年第4期37卷 1-22页

作者： Min YI Ming XUE Peihong CONG Yang SONG Haiyang ZHANG lingfeng WANG liucheng ZHOU Yinghong li Wanlin GUO State Key Laboratory of Mechanics and Control for Aerospace Structures Nanjing University of Aeronautics and AstronauticsNanjing 210016China Institute for Frontier Science Nanjing University of Aeronautics and AstronauticsNanjing 210016China College of Aerospace Engineering Nanjing University of Aeronautics and AstronauticsNanjing 210016China Shenyang Engine Research Institute Shenyang 110015China liaoning Key Laboratory of Impact Dynamics on Aero Engine Shenyang 110015China Science and Technology on Plasma Dynamics Laboratory Air Force Engineering UniversityXi’an 710038China

Fatigue properties of materials by Additive Manufacturing(AM) depend on many factors such as AM processing parameter, microstructure, residual stress, surface roughness, porosities, post-treatments, etc. Their evaluation inevitably requires these factors combined as many as possible, thus resulting in low efficiency and high cost. In recent years, their assessment by leveraging the power of Machine Learning(ML) has gained increasing attentions. A comprehensive overview on the state-of-the-art progress of applying ML strategies to predict fatigue properties of AM materials, as well as their dependence on AM processing and post-processing parameters such as laser power, scanning speed, layer height, hatch distance, built direction, post-heat temperature,etc., were presented. A few attempts in employing Feedforward Neural Network(FNN), Convolutional Neural Network(CNN), Adaptive Network-Based Fuzzy Inference System(ANFIS), Support Vector Machine(SVM) and Random Forest(RF) to predict fatigue life and RF to predict fatigue crack growth rate are summarized. The ML models for predicting AM materials' fatigue properties are found intrinsically similar to the commonly used ones, but are modified to involve AM features. Finally, an outlook for challenges(i.e., small dataset, multifarious features,overfitting, low interpretability, and unable extension from AM material data to structure life) and potential solutions for the ML prediction of AM materials' fatigue properties is provided.

关键词： Additive manufacturing Machine learning Fatigue life Fatigue crack growth rate Prediction

Performance analysis of a photovoltaic/thermal system with lunar regolith-based thermal storage for the lunar base

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Science China(Technological Sciences) 2024年第4期67卷 1113-1123页

作者： SUN WenGan ZHAO Bin PEI Yu SHI lingfeng HU MaoBin li MuJun REN Xiao PEI Gang Deep Space Exploration Laboratory Hefei 230026China Department of Thermal Science and Energy Engineering University of Science and Technology of ChinaHefei 230026China Department of Mechanical and Aerospace Engineering University of California San DiegoLa JollaCA 92093USA Department of Precision Machinery and Precision Instrumentation University of Science and Technology of ChinaHefei 230026China College of New Energy China University of Petroleum(East China)Qingdao 266000China

Powering a moon base,especially keeping it warm during the long lunar night,is a big *** paper introduces a photovoltaic/thermal(PV/T)system incorporating regolith thermal storage to solve the challenge of power and heat provision for the lunar base *** vacuum of space around the moon helps this system by reducing heat *** the moon's daytime,the system not only generates electricity but also captures *** stored heat in the regolith is then used at night,reducing the amount of equipment we need to send from *** spectrally selective PV/T panels are designed to absorb a wide range of sunlight(0.3–2.5μm)while minimizing heat loss in the infrared range(3–30μm).Simulation results of the hybrid solar energy system indicate the average value of the overall efficiency is 45.9%,which relatively elevates 56.1%compared to the PV *** launch mass of the proposed PV/T system is only 8.4%of a traditional photovoltaic-lithium battery system with the same amount of energy *** the total specific energy of the proposed system is 7.3 kWh kg^(-1),while that of the photovoltaic-lithium battery system is about 0.3 kWh kg^(-1).In summary,this study proposes an alternative combined heat and electricity supply system for the lunar base,which can greatly reduce the launch mass and free up load for other scientific research equipment.

关键词： in-situ resource utilization(IRSU) regolith thermal storage photovoltaic/thermal(PV/T) spectral selectivity

Demonstration of a small‐scale power generator using supercritical CO_(2)

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Carbon Energy 2024年第4期6卷 269-290页

作者： ligeng li Hua Tian Xin lin Xianyu Zeng Yurong Wang Weilin Zhuge lingfeng Shi Xuan Wang Xingyu liang Gequn Shu State Key Laboratory of Engines Tianjin UniversityTianjinChina Department of Thermal Science and Energy Engineering University of Science and Technology of ChinaHefeiChina State Key Laboratory of Automotive Safety and Energy Tsinghua UniversityBeijingChina

The supercritical CO_(2)(sCO_(2))power cycle could improve efficiencies for a wide range of thermal power *** sCO_(2)turbine generator plays an important role in the sCO_(2)power cycle by directly converting thermal energy into mechanical work and electric *** operation of the generator encounters challenges,including high temperature,high pressure,high rotational speed,and other engineering problems,such as *** studies of sCO_(2)turbines are insufficient because of the significant difficulties in turbine manufacturing and system *** most experimental investigations that primarily focus on 100 kW‐or MW‐scale power generation systems,we consider,for the first time,a small‐scale power generator using sCO_(2).A partial admission axial turbine was designed and manufactured with a rated rotational speed of 40,000 rpm,and a CO_(2)transcritical power cycle test loop was constructed to validate the performance of our manufactured generator.A resistant gas was proposed in the constructed turbine expander to solve the leakage *** dynamic and steady performances were *** results indicated that a peak electric power of 11.55 kW was achieved at 29,369 *** maximum total efficiency of the turbo‐generator was 58.98%,which was affected by both the turbine rotational speed and pressure ratio,according to the proposed performance map.

关键词： generator performance map power generation supercritical CO_(2) turbine

Internet Gaming Disorder and Mental Health of Children in China:A Latent Profile Analysis

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International Journal of Mental Health Promotion 2024年第7期26卷 517-529页

作者： Md Zahir Ahmed Oli Ahmed lingfeng Gao Mary C.Jobe Weijian li School of Psychology Zhejiang Normal UniversityJinhua321004China Department of Psychology University of ChittagongChattogram4331Bangladesh Department of Psychological and Brain Sciences The George Washington UniversityWashington DC20052USA

In recent years,speculation of an increase in Internet Gaming Disorder(IGD)has surfaced with the growing popularity of internet gaming among Chinese children and *** detrimental impact of IGD on mental health cannot be denied,even though only a small portion of the screen-dependent population exhibits psychopathological and behavioral *** present study aimed to explore a latent proﬁle analysis(LPA)of Internet Gaming Disorder on the mental health of Chinese school *** data were collected from a sample of 1005 Chinese school students(49.8%male;age M=13.32,SD=1.34 years)using a paper-pencil survey through convenience *** explored three latent proﬁles of internet gamers:regular gamers(62.4%),moderate gamers(28.1%),and probable disordered gamers(9.4%).Results showed that the probable disordered gamers had signiﬁcantly higher levels of depression,anxiety,emotional and conduct problems,hyperactivity,and peer problem symptoms as well as lower life satisfaction,and pro-social symptoms compared to regular and moderate gamers(p<0.05).This study would be helpful to mental health professionals in designing interventions for gamers who present IGD *** longitudinal studies should also be undertaken to assess whether mental health worsens for probable disordered gamers.

关键词： Internet gaming disorder latent proﬁle analysis mental health children and adolescents China

采用多模模型的锂离子电池荷电状态联合估计算法

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西安交通大学学报 2021年第1期55卷 78-85页

作者：李凌峰宫明辉乌江西安交通大学电气工程学院西安710049 西安工程大学电子信息学院西安710048

针对单一的等效电路模型难以准确描述全时段的锂离子电池、估计电池荷电状态(SOC)准确度低的问题,提出采用多模模型的锂离子电池荷电状态联合估计算法。利用电化学阻抗谱分析不同SOC下锂离子电池的阻抗分布,并以此构建等效电路模型来描... 详细信息

针对单一的等效电路模型难以准确描述全时段的锂离子电池、估计电池荷电状态(SOC)准确度低的问题,提出采用多模模型的锂离子电池荷电状态联合估计算法。利用电化学阻抗谱分析不同SOC下锂离子电池的阻抗分布,并以此构建等效电路模型来描述整个充放电过程中的锂离子电池,得到一种基于变阶RC模型的多模模型。利用贝叶斯定阶准则综合模型的准确度和实用性来确定具体阶数,采用带有遗忘因子的递推最小二乘法对模型参数进行在线辨识,利用扩展卡尔曼滤波算法(EKF)求得锂离子电池的实时SOC。在恒流工况以及动态应力测试工况下,与传统基于一阶RC模型和二阶RC模型的EKF算法进行了多组实验对比。结果表明:采用多模模型的联合算法在不同工况下估计的SOC精度提高了30%以上,并均可在两个迭代周期内追踪到准确值。

关键词：荷电状态估计多模模型电化学阻抗谱贝叶斯定阶准则递推最小二乘法扩展卡尔曼滤波

Fine mapping and characterization of a major QTL for grain length,***-2D.1,that has pleiotropic effects in synthetic allohexaploid wheat

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Journal of Integrative Agriculture 2024年第9期23卷 2911-2922页

作者： Mingming Wang Jia Geng Zhe Zhang Zihan Zhang lingfeng Miao Tian Ma Jiewen Xing Baoyun li Qixin Sun Yufeng Zhang Zhongfu Ni Frontiers Science Center for Molecular Design Breeding/Key Laboratory of Crop Heterosis and Utilization Ministry of Education/Beijing Key Laboratory of Crop Genetic ImprovementChina Agricultural UniversityBeijing 100193China National Plant Gene Research Centre Beijing 100193China

Grain size is one of the determinants of grain yield,and identifying the genetic loci that control grain size will be helpful for increasing grain *** our previous study,a quantitative trait locus(QTL)for grain length(GL),***-2D.1,was identified from an F2 population developed from the cross between the natural(TAA10)and synthetic(XX329)allohexaploid *** the present study,we mainly fine mapped and validated its genetic *** this end,multiple near-isogenic lines(NILs)were obtained through marker-assisted selection with TAA10 as the recurrent *** secondary populations derived from 25 heterozygous recombinants were used for fine mapping of ***-2D.1,and the allele from XX329 significantly increased GL,thousand-grain weight(TGW),total spikelet number per spike(TSN)and spike compactness(SC).Using NILs for XX329(2D+)and TAA10(2D−),we determined the genetic and pleiotropic effects of *** target sequences were aligned with the wheat reference genome RefSeq v2.1 and spanned an~0.9 Mb genomic ***2D03G0114900(ortholog of Os03g0594700)was predicted as the candidate gene based on whole-genome re-sequencing and expression *** summary,the map-based cloning of ***-2D.1 will be useful for improving grain weight with enhanced GL and TSN.

关键词： grain length total spikelet number per spike spike compactness near-isogenic lines QTL wheat

大导程滚珠螺母磨削砂轮廓形精确设计和干涉消除

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机械工程学报 2008年第1期44卷 109-113页

作者：李凌丰陈远朋刘波浙江大学机械与能源工程学院杭州310027

针对在加工大导程滚珠螺母时,可能会出现砂轮磨杆与螺母端面发生干涉的问题,从滚珠螺母磨削加工的基本方法出发,依据砂轮回转面与被加工螺母内滚道面包络的接触线是一条空间曲线的原理,建立任意安装角度下砂轮回转曲面的计算模型,并将... 详细信息

针对在加工大导程滚珠螺母时,可能会出现砂轮磨杆与螺母端面发生干涉的问题,从滚珠螺母磨削加工的基本方法出发,依据砂轮回转面与被加工螺母内滚道面包络的接触线是一条空间曲线的原理,建立任意安装角度下砂轮回转曲面的计算模型,并将此计算模型用于解决大导程滚珠螺母加工干涉问题。提出在保证加工时不发生干涉的前提下,选取砂轮最佳安装角和中心间距参数的方法以及在此参数下砂轮廓形的拟合优化方法。该方法计算简单、可以随时根据安装角和中心间距参数值对砂轮廓形进行修整,以保证磨削精度。以某型号大导程滚珠螺母为例,完成在保证不发生干涉的情况下相关工艺参数的选择以及砂轮廓形的优化设计,对结果进行误差分析,验证了方法的有效性。

关键词：大导程滚珠螺母双圆弧滚道成形磨削砂轮廓形干涉

热解析-高场非对称波形离子迁移谱(FAIMS)技术快速检测合成色素

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高等学校化学学报 2014年第7期35卷 1403-1408页

作者：李娟赵伟军李灵锋李鑫李鹏汪小知苏州微木智能系统有限公司苏州215000 浙江大学信息与电子工程系杭州310027 浙江大学苏州工业技术研究院苏州215163

采用热解析-高场非对称波形离子迁移谱（FAIMS）技术快速检测柯衣定、孔雀石绿、罗丹明B和甲基红4种合成色素．通过对热解析温度和载气流量进行优化，确定了不同色素的离子特征信号．在最佳分析条件下，热解析温度为160℃，载气流量为1... 详细信息

采用热解析-高场非对称波形离子迁移谱（FAIMS）技术快速检测柯衣定、孔雀石绿、罗丹明B和甲基红4种合成色素．通过对热解析温度和载气流量进行优化，确定了不同色素的离子特征信号．在最佳分析条件下，热解析温度为160℃，载气流量为1．6L／min，采用不同模式下补偿电压（CV）值定性，以FAIMS在正模式下检测柯衣定（CV=0．41V）和罗丹明B（CV=-0．89V），在负模式下检测甲基红（CV=-0．67V）和孔雀石绿（CV=0．02V）；用外标法定量检测了样品中的4种合成色素，线性关系R2≥0．9967，检出限为2．5～10μg／L，定量限为5～20μg/L，加标回收率≥78．2％，相对标准偏差RSD≤8％．本文为FAIMS技术快速检测合成色素提供了一定的技术基础．

关键词：高场非对称波形离子迁移谱合成色素柯衣定孔雀石绿罗丹明B 甲基红

liver as a new target organ in Alzheimer's disease:insight from cholesterol metabolism and its role in amyloid-beta clearance

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Neural Regeneration Research 2025年第3期20卷 695-714页

作者： Beibei Wu Yuqing liu Hongli li Lemei Zhu lingfeng Zeng Zhen Zhang Weijun Peng Department of Integrated Traditional Chinese&Western Medicine The Second Xiangya HospitalCentral South UniversityChangshaHunan ProvinceChina Academician Workstation Changsha Medical UniversityChangshaHunan ProvinceChina Yangsheng College of Traditional Chinese Medicine Guizhou University of Traditional Chinese MedicineGuiyangGuizhou ProvinceChina Qinhuangdao Shanhaiguan Pharmaceutical Co. LtdQinhuangdaoHebei ProvinceChina National Clinical Research Center for Mental Disorder The Second Xiangya HospitalCentral South UniversityChangshaHunan ProvinceChina

Alzheimer's disease,the primary cause of dementia,is characterized by neuropathologies,such as amyloid plaques,synaptic and neuronal degeneration,and neurofibrillary *** amyloid plaques are the primary characteristic of Alzheimer's disease in the central nervous system and peripheral organs,targeting amyloid-beta clearance in the central nervous system has shown limited clinical efficacy in Alzheimer's disease *** abnormalities are commonly observed in patients with Alzheimer's *** liver is the primary peripheral organ involved in amyloid-beta metabolism,playing a crucial role in the pathophysiology of Alzheimer's ***,impaired cholesterol metabolism in the liver may exacerbate the development of Alzheimer's *** this review,we explore the underlying causes of Alzheimer's disease and elucidate the role of the liver in amyloid-beta clearance and cholesterol ***,we propose that restoring normal cholesterol metabolism in the liver could represent a promising therapeutic strategy for addressing Alzheimer's disease.

关键词： ABCA1 Alzheimer's disease amyloid-beta apolipoprotein E cholesterol metabolism liver liver X receptor low-density lipoprotein receptor-related protein 1 peripheral clearance tauroursodeoxycholic acid