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5篇 您的检索式:作者名="Runzi Wang"
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1Influence of grain size on the small fatigue crack initiation and propagation behaviors of a nickel-based superalloy at 650℃显示文摘GH4169 at 650℃ in atmosphere was investigated by using single edge notch tensile specimens. The number of main cracks and crack initiation mechanisms at the notch surface strongly depended on the grain size. The crack initiation life accounted for more percentages of the total fatigue life for the alloy with smaller grain size. The fatigue life generally increased with increasing crack initiation life. The small crack transited to long crack when its length reached 10 times the grain size.Xumin Zhu Congyang Gong Yun-Fei Jia Runzi Wang Chengcheng Zhang Yao Fu Shan-Tung Tu Xian-Cheng Zhang 2019Journal of Materials Science & Technology2019,35,8:9
2UAV-based integrated multispectral-LiDAR imaging system and data processing显示文摘In the field of remote sensing imaging, multispectral imaging can obtain an image of the observed scene in several bands, while the light detection and ranging(LiDAR) can acquire the accurate 3D geometric information of the scene. With the development of remote sensing technology, how to effectively integrate the two imaging technologies in order to collect and process simultaneous spectral and 3D geometric information has been one of the frontier problems. Most of the present researches on simultaneous spectral and geometric data acquisition focus on the design of physical multispectral LiDAR system, which inevitably lead to an imaging system of heavy weight and high power consumption and thus inconvenient in practice. Different from the present researches, a UAV-based integrated multispectral-LiDAR system is introduced in this paper. Through simultaneous multi-sensor data collection and multispectral point cloud generation, a low-cost and UAV-based portable 3D geometric and spectral information acquisition system can be achieved.GU YanFeng JIN XuDong XIANG RunZi WANG QingWang WANG Chen YANG ShengXiong 2020Science China(Technological Sciences)2020,63,7:6
3Community-Based Management and Treatment Services for Psychosis-China, 2019显示文摘Introduction:Community-based services for psychosis are an important part of mental health services in China.We analyzed community-based follow-up and treatment services for psychosis in China in 2019 to provide evidence for policymaking and services delivering.Methods:Data from the National Information System for Psychosis were used to analyze usage of the information system and the registration,management,and treatment situation of patients with psychosis in China in 2019 and compared the results of 2019 with that of 2018.Results:In 2019,100%of cities and counties used the information system and 6,230,157 patients were registered.In 2019,there were 5,944,724 registered patients(94.05%)in China under community-based follow-up services and 5,375,252 patients(85.04%)had regular follow-ups;5,295,657 patients(83.78%)were treated by taking antipsychotics and 3,354,251(53.07%)patients took medication regularly;4,974,314 patients at home(87.81%)were in stable condition;and there was a significant difference in patients’stable condition and medication-taking rates among eastern,central,and western regions(p<0.05).Compared with 2018,the nationwide regular management rate,medication-taking rate,regular medication-taking rate,and patients’stable rate increased by 2.35%,2.48%,11.29%,and 7.21%respectively.Conclusions and Implications for Public Health Practice:Compared with 2018,the level of management and treatment improved significantly but still needs to be further strengthened,especially in western China.Miaomiao Zhao Ning Ma Xun Wang Xiamin Wu Wufang Zhang Runzi Chen Yulu Wang Lili Guan Hong Ma Xin Yu Lin Lu 2020China CDC weekly2020,2,41:3
4Combination synchronization of three classic chaotic systems using active backstepping design 显示文摘Luo Runzi Wang Yinglan Deng Shucheng 2011Chaos2011,21,04:1
5Precipitation and heterogeneous strengthened CoCrNi-based medium entropy alloy with excellent strength-ductility combination from room to cryogenic temperatures显示文摘The improved understandings of the mechanical properties as well as deformation mechanisms at cryogenic temperatures are the prerequisite for realizing the application of any new engineering materials to cryogenic industries.Here,a(CoCrNi)_(94)Al_(3)Ti_(3) medium entropy alloy(MEA)with nanoscale L12 coherent precipitates and heterogeneous grain structures was prepared by codoping Al and Ti elements with subsequent cold rolling and heat treatment processes.The mechanical properties were evaluated at the temperature range of 293–113 K.The ultimate strength of the MEA increases almost linearly from 1326 to 1695 MPa as the temperature decreases from 293 to 113 K,while the total elongation remains approximately constant of~35%.The underlying deformation and strengthening mechanisms were investigated using various characterization techniques.Due to the effect of co-doped Al/Ti on channel width of the matrix and the increasing critical twinning stress induced by heterogeneous ultrafine grain size,the formation of deformation twins is inhibited at all temperatures.Consequently,only a slight increase of the deformation twins and stacking faults in the deformed specimens with a decreasing temperature,which leads to the relative temperature-independence of the ductility.The dislocation cutting mechanism of L1_(2) coherent precipitates and the heterodeformation induced(HDI)hardening both significantly contribute to the strain hardening so that an excellent combination of strength and ductility is obtained.Additionally,the evolution of lattice friction stress with deformation temperature is determined by quantitative analysis,indicating an approximately linear relationship between the lattice friction and temperature.The present work provides new insights into the strategy of achieving outstanding strength-ductility synergy of the MEA under the wide temperature range by coupling heterogeneous ultrafine-grained structure and coherent precipitation strategy.XIE Yu ZHAO PengCheng TONG YongGang TAN JianPing SUN BinHan CUI Yan WANG RunZi ZHANG XianCheng TU ShanTung 2022Science China(Technological Sciences)2022,65,8:0
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