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Characterization on the formation of porosity and tensile properties prediction in die casting Mg alloys

Journal of Magnesium and Alloys 2022年第7期10卷 1857-1867页

作者： Zixin Li Dejiang Li Wenke Zhou Bo Hu Xingfeng Zhao Jingya Wang Ming Qin jiangkun xu Xiaoqin Zeng National Engineering Research Center of Light Alloy Net Forming School of Materials Science and EngineeringShanghai Jiao Tong University800 Dongchuan RoadShanghai 200240China Hitachi(China)Research&Development Corporation Rui Jin BuildingNo.205 Maoming Road(S)Shanghai 200020China The State Key Laboratory of Metal Matrix Composites Shanghai Jiao Tong University800 Dongchuan RoadShanghai 200240China

The 3D visualization of the porosity in high-pressure die casting(HPDC)Mg alloys AZ91D and Mg4Ce2Al0.5Mn(EA42)was investigated by X-ray computed tomography.It was demonstrated that the volumetric porosity at the near-gate location for alloy EA42 was significantly higher than that far from the gate location.This difference resulted from the low valid time during intensified casting pressure conditions.Specimens of alloy EA42 exhibited a narrow pore distribution in the side view(~0.5 mm)compared to the wide distribution(~1.8 mm)of alloy AZ91D,which was mainly attributed to the formation mechanism of the defect band.The formation of microporosity in the defect band of alloy EA42 was inhibited because of the significant latent heat released by a large amount of the Al11Ce3phase segregated in the defect band during solidification.Additionally,an effective estimator(Z-Propagation)was introduced,which is proposed to predict the projected area fraction of the porosity(f)involved during tensile failure with better effectiveness compared with traditional methods based on the actual fractured surface.By coupling the Z-Propagation method with the critical local strain model,the logarithmic fracture strain and true fracture stress of the specimens were predicted within 3.03%and 1.65%of the absolute value of the average relative error(AARE),respectively.

关键词： High-pressure die casting Porosity Tensile property Magnesium alloy X-ray computed tomography

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运用示踪试验分析隧道和岩溶泉的水力联系及介质特征——以关山隧道为例

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中国岩溶 2024年第1期43卷 25-32页

作者：姚莎莎张毅王新文李先恒许江坤郭发贵蒙彦自然资源部、广西岩溶动力学重点实验室/中国地质调查局岩溶塌陷防治技术创新中心/中国地质科学院岩溶地质研究所广西桂林541004 中国地质大学(北京) 北京100083 中铁二院工程集团有限责任公司四川成都610031 华邦建投集团股份有限公司甘肃兰州730199 贵州省交通规划勘察设计研究院股份有限公司贵州贵阳550081

文章以关山隧道入口周围的岩溶泉及落水洞为研究对象,以钼酸铵为示踪剂进行落水洞与下降泉之间的示踪试验。结果表明:投放点与两处接收点均存在水力联系,示踪试验浓度曲线显示1#取样点的通道比较单一且与投放点的水力联系较好,2#取样点... 详细信息

文章以关山隧道入口周围的岩溶泉及落水洞为研究对象,以钼酸铵为示踪剂进行落水洞与下降泉之间的示踪试验。结果表明:投放点与两处接收点均存在水力联系,示踪试验浓度曲线显示1#取样点的通道比较单一且与投放点的水力联系较好,2#取样点的通道比较复杂,与投放点之间的渗流途径较长、水力梯度较大,可能存在小型水池或溶潭;分别利用经验公式和Qtracer2软件计算回收率,两处接收点的回收率结果均较低,投放点与接收点之间可能存在更大的支流或者示踪区存在双层岩溶含水系统,地下水流向了更深层的岩溶含水层;结合隧道高程,判断处于低位的隧道存在涌水风险并有可能对岩溶泉产生不良影响。对比两种回收率计算方法,经验公式简便易算,但在示踪剂浓度低、地下水流量小的情况下误差较大,而Qtracer2软件通过对浓度和体积进行积分,克服经验公式缺点,计算结果更精确可靠。

关键词：隧道示踪试验钼酸铵回收率 Qtracer2

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Using Recurrent Neural Network Structure and Multi-Head Attention with Convolution for Fraudulent Phone Text Recognition

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Computer Systems Science & Engineering 2023年第8期46卷 2277-2297页

作者： Junjie Zhou Hongkui xu Zifeng Zhang jiangkun Lu Wentao Guo Zhenye Li School of Information and Electrical Engineering Shandong Jianzhu UniversityJinan250000China

Fraud cases have been a risk in society and people’s property security has been greatly threatened.In recent studies,many promising algorithms have been developed for social media offensive text recognition as well as sentiment analysis.These algorithms are also suitable for fraudulent phone text recognition.Compared to these tasks,the semantics of fraudulent words are more complex and more difficult to distinguish.Recurrent Neural Networks(RNN),the variants ofRNN,ConvolutionalNeuralNetworks(CNN),and hybrid neural networks to extract text features are used by most text classification research.However,a single network or a simple network combination cannot obtain rich characteristic knowledge of fraudulent phone texts relatively.Therefore,a new model is proposed in this paper.In the fraudulent phone text,the knowledge that can be learned by the model includes the sequence structure of sentences,the correlation between words,the correlation of contextual semantics,the feature of keywords in sentences,etc.The new model combines a bidirectional Long-Short Term Memory Neural Network(BiLSTM)or a bidirectional Gate Recurrent United(BiGRU)and a Multi-Head attention mechanism module with convolution.A normalization layer is added after the output of the final hidden layer.BiLSTM or BiGRU is used to build the encoding and decoding layer.Multi-head attention mechanism module with convolution(MHAC)enhances the ability of the model to learn global interaction information and multi-granularity local interaction information in fraudulent sentences.A fraudulent phone text dataset is produced by us in this paper.The THUCNews data sets and fraudulent phone text data sets are used in experiments.Experiment results show that compared with the baseline model,the proposed model(LMHACL)has the best experiment results in terms of Accuracy,Precision,Recall,and F1 score on the two data sets.And the performance indexes on fraudulent phone text data sets are all above 0.94.

关键词： BiLSTM BiGRU multi-head attention mechanism CNN

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镰刀菌毒素在植物与病原菌互作过程中的作用

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生物技术进展 2024年第2期14卷 182-188页

作者：王立雯王江坤王冰冰徐剑宏史建荣刘馨江苏省农业科学院农产品质量安全与营养研究所农业农村部农产品质量安全控制技术与标准重点实验室江苏省食品质量安全重点实验室-省部共建国家重点实验室培育基地南京210014 江苏大学食品与生物工程学院江苏镇江212013 新乡医学院三全学院河南新乡453000

镰刀菌引起的赤霉病和根腐病是威胁多种粮食作物安全生产的真菌病害,可引起粮食减产和谷物品质降低。田间受镰刀菌感染的谷物也会在仓储过程中造成粮食劣变和毒素污染等问题。镰刀菌通过形成侵染结构、合成细胞壁降解酶(cellwalldegradi... 详细信息

镰刀菌引起的赤霉病和根腐病是威胁多种粮食作物安全生产的真菌病害,可引起粮食减产和谷物品质降低。田间受镰刀菌感染的谷物也会在仓储过程中造成粮食劣变和毒素污染等问题。镰刀菌通过形成侵染结构、合成细胞壁降解酶(cellwalldegradingenzyme,CWDE)及毒素抵御宿主防御反应破坏植物组织完成侵染。毒素是病原真菌的重要致病因子,植物通过化学修饰和化学分隔等形式将毒素与基质结合、泵出胞外以降低毒素的植物毒性。通过杂交育种或转基因技术对解毒基因进行改良利用是防控镰刀菌病害及毒素污染的有效途径之一。综述了侵染过程中毒素等次生代谢产物在病原菌和植物互作及病害发展过程中的作用机制,以期为植物抗病育种和镰刀菌病害及毒素防控新策略的研发提供依据。

关键词：镰刀菌毒素侵染过程次生代谢产物镰刀菌小麦赤霉病

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In situ instant generation of an ultrabroadband near-infrared emission center in bismuth-doped borosilicate glasses via a femtosecond laser

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Photonics Research 2019年第3期7卷 300-310页

作者： LIPING WANG jiangkun CAO YAO LU XIAOMAN LI SHANHUI xu QINYUAN ZHANG ZHONGMIN YANG MINGYING PENG State Key Laboratory of Luminescent Materials and Devices Guangdong Engineering Technology Research and Development Center of Special Optical Fiber Materials and Devices Guangdong Provincial Key Laboratory of Fiber Laser Materials and Applied Techniques School of Materials Science and Engineering South China University of Technology Department of Orthopedics Zhujiang Hospital Southern Medical University School of Physics and Physical Engineering Shandong Provincial Key Laboratory of Laser Polarization and Information TechnologyQufu Normal University

Bismuth(Bi)-doped photonic materials, which exhibit broadband near-infrared(NIR) luminescence(1000–1600 nm), are evolving into interesting gain media. However, the traditional methods have shown their limitations in enhancing Bi NIR emission, especially in the microregion. Consequently, the typical NIR emission has seldom been achieved in Bi-doped waveguides, which highly restricts the application of Bi-activated materials.Here, superbroadband Bi NIR emission is induced in situ instantly in the grating region by a femtosecond(fs)laser inside borosilicate glasses. A series of structural and spectroscopic characterizations are summoned to probe the generation mechanism. And we show how this novel NIR emission in the grating region can be enhanced significantly and erased reversibly. Furthermore, we successfully demonstrate Bi-activated optical waveguides.These results present new insights into Bi-doped materials and push the development of broadband waveguide amplification.

关键词： ultrabroadband near-infrared emission center bismuth-doped borosilicate glasses via a femtosecond laser

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Comparison of the dark signal degradation induced by Gamma ray, proton, and neutron radiation in pinned photodiode CMOS image sensors

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Science China(Information Sciences) 2019年第6期62卷 174-176页

作者： Zujun WANG Yuanyuan xuE Wei CHEN Rui xu Hao NING Baoping HE Zhibin YAO Minbo LIU jiangkun SHENG Wuying MA Guantao DONG State Key Laboratory of Intense Pulsed Irradiation Simulation and Effect Northwest Institute of Nuclear Technology School of Materials Science and Engineering Xiangtan University

Dear editor,CMOS image sensors (CISs) present numerous advantages and have become feasible alternatives for CCDs (charge coupled devices) in satellite imaging system, nuclear industry, and particle detection [1–3]. However, CISs used in these applications are often operated under harsh radiation environments and are susceptible to total ionizing dose (TID) and displacement damage.

关键词： proton Figure Comparison of the dark signal degradation induced by Gamma ray and neutron radiation in pinned photodiode CMOS image sensors

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Multi-functional bismuth-doped bioglasses: combining bioactivity and photothermal response for bone tumor treatment and tissue repair

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Light(Science & Applications) 2018年第1期7卷 1001-1013页

作者： Liping Wang Nicholas J.Long Lihua Li Yao Lu Mei Li jiangkun Cao Yu Zhang Qinyuan Zhang Shanhui xu Zhongmin Yang Chuanbin Mao Mingying Peng The State Key Laboratory of Luminescent Materials and Devices Guangdong Engineering Technology Research and Development Center of Special Optical Fiber Materials and DevicesGuangdong Provincial Key Laboratory of Fiber Laser Materials and Applied TechniquesSchool of Materials Science and EngineeringSouth China University of Technology510641 GuangzhouChina Department of Chemistry Imperial College LondonSouth KensingtonLondon SW72AZUK Guangdong Key Lab of Orthopedic Technology and Implant Materials Department of OrthopedicsGuangzhou General Hospital of Guangzhou Military Command111 Liuhua Road510010 GuangzhouChina Department of Chemistry and Biochemistry Stephenson Life Sciences Research Center University of OklahomaNormanOK 73072USA School of Materials Science and Engineering South China University of TechnologyGuangzhou 510641China

Treatment of large bone defects derived from bone tumor surgery is typically performed in multiple separate operations,such as hyperthermia to extinguish residual malignant cells or implanting bioactive materials to initiate apatite remineralization for tissue repair;it is very challenging to combine these functions into a material.Herein,we report the first photothermal(PT)effect in bismuth(Bi)-doped glasses.On the basis of this discovery,we have developed a new type of Bi-doped bioactive glass that integrates both functions,thus reducing the number of treatment cycles.We demonstrate that Bi-doped bioglasses(BGs)provide high PT efficiency,potentially facilitating photoinduced hyperthermia and bioactivity to allow bone tissue remineralization.The PT effect of Bi-doped BGs can be effectively controlled by managing radiative and non-radiative processes of the active Bi species by quenching photoluminescence(PL)or depolymerizing glass networks.In vitro studies demonstrate that such glasses are biocompatible to tumor and normal cells and that they can promote osteogenic cell proliferation,differentiation,and mineralization.Upon illumination with near-infrared(NIR)light,the bioglass(BG)can efficiently kill bone tumor cells,as demonstrated via in vitro and in vivo experiments.This indicates excellent potential for the integration of multiple functions within the new materials,which will aid in the development and application of novel biomaterials.

关键词： glasses bismuth treatment

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新冠肺炎疫情以来菲律宾本土华文师资培训研究——基于OBE教育理念的视角

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福州大学学报（哲学社会科学版） 2022年第6期36卷 39-47页

作者：黄江昆许琦红泉州师范学院福建泉州362000

新冠肺炎疫情给菲律宾华文教育带来严峻的考验。目前菲律宾本土华文教师队伍存在师资紧缺、整体专业水平不强、线上教学能力亟需加强等问题,在师资培训工作上也有前期调研不足、分层分类精细化培训不够、培训方式单一等问题。为了应对... 详细信息

新冠肺炎疫情给菲律宾华文教育带来严峻的考验。目前菲律宾本土华文教师队伍存在师资紧缺、整体专业水平不强、线上教学能力亟需加强等问题,在师资培训工作上也有前期调研不足、分层分类精细化培训不够、培训方式单一等问题。为了应对新冠肺炎疫情带来的影响,菲律宾本土华文师资培训应借鉴OBE教育理念及实施原则,并结合实际情况,聚焦主题、强化线上教学能力,贴合需求、反向设计培训课程,分类分层、提供均等学习机会,多方协同、促进学员自我发展。

关键词：菲律宾华文师资培训 OBE教育理念

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Correction:Multi-functional bismuth-doped bioglasses:combining bioactivity and photothermal response for bone tumor treatment and tissue repair

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Light(Science & Applications) 2019年第1期8卷 678-679页

作者： Liping Wang Nicholas JLong Lihua Li Yao Lu Mei Li jiangkun Cao Yu Zhang Qinyuan Zhang Shanhui xu Zhongmin Yang Chuanbin Mao Mingying Peng The State Key Laboratory of Luminescent Materials and Devices Guangdong Engineering Technology Research and Development Center of Special Optical Fiber Materials and DevicesGuangdong Provincial Key Laboratory of Fiber Laser Materials and Applied TechniquesSchool of Materials Science and EngineeringSouth China University of Technology510641 GuangzhouChina Department of Chemistry Imperial College LondonSouth KensingtonLondon SW72AZUK Guangdong Key Lab of Orthopedic Technology and Implant Materials Department of OrthopedicsGuangzhou General Hospital of Guangzhou Military Command111 Liuhua Road510010 GuangzhouChina Department of Chemistry and Biochemistry Stephenson Life Sciences Research Center University of OklahomaNormanOK 73072USA

In this originally published article,we have noticed several mistakes.They should be corrected as follows:1.On page 1,the second affiliation(No.5)of the author“Chuanbin Mao”should be deleted as he does not belong to that affiliation.Namely,he should be only listed with(Department of Chemistry and Biochemistry Stephenson Life Sciences Research Center,University of Oklahoma,Norman,OK 73072,USA).

关键词： glasses bismuth listed

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基于主轴电流小波变换的刀具磨损状态监测

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航空制造技术 2023年第12期66卷 133-139页

作者：申望徐继泽费少华尚江坤薛贵军中国航空制造技术研究院北京100024 航空工业沈阳飞机工业(集团)有限公司沈阳110850

为消除机器人自动制孔系统中由于刀具磨损引起的孔径误差,提出一种基于主轴电流离散小波变换的刀具磨损状态在线监测以及寿命预测方法。首先根据主轴电流信号的波动规律,综合小波信号的正则性、相似性及曲线误差光滑性等要求,选用3阶多... 详细信息

为消除机器人自动制孔系统中由于刀具磨损引起的孔径误差,提出一种基于主轴电流离散小波变换的刀具磨损状态在线监测以及寿命预测方法。首先根据主轴电流信号的波动规律,综合小波信号的正则性、相似性及曲线误差光滑性等要求,选用3阶多贝西小波基对主轴电流信号进行离散分解。结合刀具磨损规律,选取电流信号的3阶低频分解量作为刀具磨损状态监测的最有效特征,将电流信号的1阶高频分解量进行离散傅里叶变换,得到高频分量的频域特性,为电磁兼容设计提供依据;最后利用最小二乘法拟合刀具磨损量与主轴电流特征值的线性关系,通过监测主轴电流特征值,实现对刀具后刀面磨损量的在线监测以及刀具寿命预测。

关键词：机器人制孔铝合金刀具磨损主轴电流离散小波变换

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