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Constructing two-scale network microstructure with nano-Ti5si3 for superhigh creep resistance

Journal of Materials science & Technology 2019年第8期35卷 1532-1542页

作者： Y.Jiao L.J.Huang s.L.Wei H.X.Peng Q.An s.jiang L.Geng state Key Laboratory of Advanced Welding and Joining Harbin Institute of TechnologyHarbin 150001 China Center of Analysis and Measurement Harbin Institute of TechnologyHarbin 150001 China Department of Materials science and Engineering Massachusetts Institute of TechnologyCambridge MA02139 USA Institute for Composites science Innovation (InCsI) School of Materials Science and EngineeringZhejiang UniversityHangzhou 310027 China

The improvement of mechanical properties must be achieved by designing and constructing more suitable microstructure,such as hierarchical *** order to significantly enhance the creep resistance of titanium matrix composites(TMCs),two-scale network microstructure was constructed including the first-scale network(sker(TiBw)reinforcement and the second-scale network(si3 reinforcement by powder metallurgy and in-situ *** results showed that the creep rate of the composite was remarkably reduced by an order of magnitude compared with the Ti6Al4V alloy at 550℃,600℃,650℃ under the stresses between 100 MPa and 350 ***,the rupture time of the composite was increased by 20 times,compared with that of the Ti6Al4 Valloy at 550℃/300 *** superior creep resistance could be attributed to the hierarchical *** micro-TiBw reinforcement in the first-scale network boundary contributed to creep resistance primarily by blocking grain boundary sliding,while the nano-Ti5si3 particle in the second-scale network boundary mainly by hindering phase boundary *** addition,the nano-Ti5si3 particle was dissolved,and precipitated with smaller size than the primary *** phenomenon was attributed to si element diffusion under high temperature and external stress,which could further continuously enhance the creep ***,the creep rate during steady-state stage was significantly decreased,which manifested superior creep resistance of the composite.

关键词： Titanium matrix composite Two-scale network microstructure Nano-Ti5si3 Creep Powder metallurgy

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Optical Properties of Nanosilver synthesized by Chemical Reduction Method at Room Temperature

Optical Properties of Nanosilver Synthesized by Chemical Red...

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第十七届全国化学热力学和热分析学术会议

作者： s.jiang A.M.Bai Y.J.Hu Hubei Key Laboratory of Pollutant Analysis ＆ Reuse Technology Department of ChemistryHubei Normal University

Nanosilver has been applied in many fields including surface-enhanced Raman spectroscopy（sERs）,surface enhanced fluorescence（sEF）,biomedicine and other areas due to the its unique physical and chemical *** this paper,nanosilver equipped with uniform dispertion,controllable partical size and morphology was prepared by chemical reduction method in aqueous *** reaction can be carried out at room temperature（298.15K）by taking silver nitrate as the source,sodium borohydride as a reducing agent,sodium citrate tribasic dihydrate and Polyvinylpyrrolidone as protective ***,we focused on the effects of reaction time,temperature,protective agents and so forth on the experimental *** analysis of UV–vis spectra（Fig.1）showed that the surface plasmon resonance（sPR）absorption peaks of asprepared nanosilver appeared at about 400 nm and 650 nm,which demonstrated the formation of nanosilver corresponding to different morphologies and particle *** addition,sharp and smooth peaks indicated a uniform dispersion.

关键词： Nanosilver chemical reduction method UV-vis spectrum surface plasmon resonance(sPR)

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Panax ginseng's large DNA fragment (100kb) transform ganoderma lucidum's protoplast

Panax ginseng's large DNA fragment (100kb) transform ganoder...

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第十一届全国植物基因组学大会

作者： L.Zhang,s.jiang,C.sun,M.Zhang,Y.Wang~* Jilin Agricultural University,Changchun,130118,China

Ginsenoside and ganoderma lucidum acid are terpene compounds which are biosynthesized via the mevalonate *** Panax ginseng genomics research achievements,screening the cloning about Ginsenoside compound from Panax gin...

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The BIBAC library construction of Panax ginseng from Mountain Changbai

The BIBAC library construction of Panax ginseng from Mountai...

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第十一届全国植物基因组学大会

作者： s.jiang,M.Zhao,C.sun,Y.Wang,M.Zhang~* Jilin Agricultural University,Changchun,130118,China

The technical system BIBAC library was developed basis on *** obvious advantage is that it can be used to direct the gene cloning is transformed plants,it is the basis of research molecular cloning and genome structur...

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Dynamically pre-compressed hydrocarbons studied by self-impedance mismatch

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Matter and Radiation at Extremes 2020年第2期5卷 26-32页

作者： N.J.Hartley C.Zhang X.Duan L.G.Huang s.jiang Y.Li L.Yang A.Pelka Z.Wang J.Yang D.Kraus Helmholtz-Zentrum Dresden-Rossendorf 01328 DresdenGermany Laser Fusion Research Center China Academy of Engineering PhysicsMianyangChina Institute of Fluid Physics China Academy of Engineering PhysicsMianyangChina European XFEL GmbH 22869 SchenefeldGermany Technische Universitat Dresden 01062 DresdenGermany

Using the sG-III prototype laser at China Academy of Engineering Physics,Mianyang,we irradiated polystyrene(CH)samples with a thermal radiation drive,reaching conditions on the principal Hugoniot up to P≈1 TPa(10 Mbar),and away from the Hugoniot up to P≈300 GPa(3 Mbar).The response of each sample was measured with a velocity interferometry diagnostic to determine the material and shock velocity,and hence the conditions reached,and the reflectivity of the sample,from which changes in the conductivity can be *** applying the selfimpedance mismatch technique with the measured velocities,the pressure and density of thermodynamic points away from the principal Hugoniot were *** results show an unexpectedly large reflectivity at the highest shock pressures,while the off-Hugoniot points agree with previous work suggesting that shock-compressed CH conductivity is primarily temperature-dependent.

关键词： impedance reflectivity shock

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Research of Changbai mountain Panax ginseng's ginsenoside compound and relevant enzyme gene expression network interaction

Research of Changbai mountain Panax ginseng's ginsenoside co...

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第十一届全国植物基因组学大会

作者： W.Liu~#,C.Li~#,Y.Yu,s.jiang,Y.Wang,M.Zhang~* Jilin Agricultural University,Changchun,130118,P.R.China

Changbai mountain Panax ginseng as the material,I have extracted the ginsenosides in 15 different organs of 5 years old with soxhlet,and then determinated the content of ginseng in different organs by high performance...

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Research of NBs and RLK gene family copy number hereditary change and evolution

Research of NBS and RLK gene family copy number hereditary c...

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第十一届全国植物基因组学大会

作者： Q.Liu~#,N.Li~#,s.jiang,Y.sun,Y.Wang,M.Zhang~* Jilin Agricultural University,Changchun,130118,P.R.China

In the plant 80%disease resistances are decide by the NBs gene family,but the RLK gene family in plant’s growth,the growth and the defense response is also playing the very vital *** the paddy rice and the soybean ar...

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LD泵浦的共掺Er^(3+),Yb^(3+)磷酸盐玻璃激光器

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中国激光 1999年第9期26卷 790-792页

作者：宋峰陈晓波冯衍商美茹张万林张光寅 s.jiang M.J.Myers 南开大学物理学院 OpticalCenter UniversitofArizonaUSA 美国Kigre公司 SC29926

报道了半导体激光泵浦的共掺Er3+，Yb3+磷酸盐玻璃激光器的连续运转，最大输出功率为10．2mW，斜率效率为5．3％，激光光谱范围为1516～1547nm，峰值被长为1533nm。

关键词： LD泵浦激光材料掺饵玻璃玻璃激光器

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Data-Driven Learning Control Algorithms for Unachievable Tracking Problems

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IEEE/CAA Journal of Automatica sinica 2024年第1期11卷 205-218页

作者： Zeyi Zhang Hao jiang Dong shen samer s.saab the school of Mathematics Renmin University of ChinaBeijing 100872China IEEE the school of Engineering Lebanese American UniversityByblos 2038Lebanon

For unachievable tracking problems, where the system output cannot precisely track a given reference, achieving the best possible approximation for the reference trajectory becomes the objective. This study aims to investigate solutions using the Ptype learning control scheme. Initially, we demonstrate the necessity of gradient information for achieving the best ***, we propose an input-output-driven learning gain design to handle the imprecise gradients of a class of uncertain systems. However, it is discovered that the desired performance may not be attainable when faced with incomplete *** address this issue, an extended iterative learning control scheme is introduced. In this scheme, the tracking errors are modified through output data sampling, which incorporates lowmemory footprints and offers flexibility in learning gain *** input sequence is shown to converge towards the desired input, resulting in an output that is closest to the given reference in the least square sense. Numerical simulations are provided to validate the theoretical findings.

关键词： Data-driven algorithms incomplete information iterative learning control gradient information unachievable problems

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Descriptors-based machine-learning prediction of cetane number using quantitative structure–property relationship

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Energy and AI 2024年第3期17卷 168-178页

作者： Rodolfo s.M.Freitas Xi jiang school of Engineering and Materials science Queen Mary University of LondonMile End RoadLondonE14NSUK

The physicochemical properties of liquid alternative fuels are important but difficult to measure/predict, especially when complex surrogate fuels are concerned. In the present work, machine learning is used to develop quantitative structure–property relationship models. The fuel chemical structure is represented by molecular descriptors, allowing the linking of important features of the fuel composition and key properties of fuel utilization. Feature selection is employed to select the most relevant features that describe the chemical structure of the fuel and several machine learning algorithms are tested to construct interpretable models. The effectiveness of the methodology is demonstrated through the development of accurate and interpretable predictive models for cetane numbers, with a focus on understanding the link between molecular structure and fuel properties. In this context, matrix-based descriptors and descriptors related to the number of atoms in the molecule are directly linked with the cetane number of hydrocarbons. Furthermore, the results showed that molecular connectivity indices play a role in the cetane number for aromatic molecules. Also, the methodology is extended to predict the cetane number of ester and ether molecules, leveraging the design of alternative fuels towards fully sustainable fuel utilization.

关键词： Chemical descriptors Quantitative structure-property relationship Machine learning Cetane number Fuel design

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