检索结果-南通市图书馆

Investigation of Oil Vapours in Hydro-Generator

在线全文

学校读者我要写书评

暂无评论

Journal of Power and Energy Engineering 2024年第3期12卷 19-30页

作者： Ekaterina Shubina Dmitry Verkhovtsev Stanislav Gulay Andrey Lyamin Bureau for the Design of Hydro-Generators JSC “Power Machines” Saint Petersburg Russia Field Tests Department JSC “Power Machines” Saint Petersburg Russia

The article discusses engineering approaches to solving the problem of oil vapours in generators. Due to the design characteristics of each power plant, it is difficult to find a typical solution. Nevertheless, the article suggests ways to reduce the amount of oil mist. For their implementation, a calculation methodology based on the substitution scheme of the hydraulic path of the bearing support unit is created which takes into account the design features of the bearing and the parameters of the environment around the oil bath. The methodology employed is presented. The numerical method of modelling the aerodynamic fields of the entire hydro generator is used to estimate the air flows and pressures in the oil bath zone of the thrust bearing. Additionally, the method made it possible to track suspected oil particles that could get from the thrust-bearing bath into the surrounding area of the generator. Measures are proposed to reduce the level of oil mist through the competent design of the oil vapour removal system from the bearing bath.

关键词： Hydro-Generator Cooling Oil Mist Bearings Fluid Dynamics

Deformation,structure and potential hazard of a landslide based on InSAR in Banbar county,Xizang(Tibet)

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

China Geology 2024年第2期7卷 203-221页

作者： Guan-hua Zhao Heng-xing Lan Hui-yong Yin Lang-ping Li Alexander Strom Wei-feng Sun Chao-yang Tian College of Earth Science and Engineering Shandong University of Science and TechnologyQingdao 266590China State Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China School of Geological Engineering and Geomatics Chang’an UniversityXi’an 710054China Key Laboratory of Ecological Geology and Disaster Prevention Ministry of Natural ResourcesXi’an 710054China University of Chinese Academy of Sciences Beijing 100049China jsc“Hydroproject Institute” Moscow 125993Russia

The Tibetan Plateau is characterized by complex geological conditions and a relatively fragile ecological *** recent years,there has been continuous development and increased human activity in the Tibetan Plateau region,leading to a rising risk of *** landslide in Banbar County,Xizang(Tibet),have been perturbed by ongoing disturbances from human engineering activities,making it susceptible to instability and displaying distinct *** this study,small baseline subset synthetic aperture radar interferometry(SBAS-InSAR)technology is used to obtain the Line of Sight(LOS)deformation velocity field in the study area,and then the slope-orientation deformation field of the landslide is obtained according to the spatial geometric relationship between the satellite’s LOS direction and the ***,the landslide thickness is inverted by applying the mass conservation *** results show that the movement area of the landslide is about 6.57×10^(4)m^(2),and the landslide volume is about 1.45×10^(6)m^(3).The maximum estimated thickness and average thickness of the landslide are 39 m and 22 m,*** thickness estimation results align with the findings from on-site investigation,indicating the applicability of this method to large-scale earth *** deformation rate of the landslide exhibits a notable correlation with temperature variations,with rainfall playing a supportive role in the deformation process and displaying a certain *** activities exert the most substantial influence on the spatial heterogeneity of landslide deformation,leading to the direct impact of several prominent deformation areas due to human ***,utilizing the long short-term memory(LSTM)model to predict landslide displacement,and the forecast results demonstrate the effectiveness of the LSTM model in predicting landslides that are in a continuous development and movement *** landslide is still active,and based

关键词： Landslide InSAR Human activity Deformation Structure LSTM model Engineering construction Thickness Neural network Machine learning Prediction and prevention Tibetan Plateau Geological hazards survey engineering

Realize ultralow-energy-consumption photo-synaptic device based on a single(Al,Ga)N nanowire for neuromorphic computing

在线全文

学校读者我要写书评

暂无评论

Nano Research 2024年第3期17卷 1933-1941页

作者： Xiushuo Gu Min Zhou Yukun Zhao Qianyi Zhang Jianya Zhang Yonglin Huang Shulong Lu College of Electronic and Optical Engineering&College of Flexible Electronics(Future technology) Nanjing University of Posts and TelecommunicationsNanjing 210023China Key Lab of Nanodevices and Applications Suzhou Institute of Nano-Tech and Nano-Bionics(SINANO)Chinese Academy of Sciences(CAS)Suzhou 215123China School of Nano-Tech and Nano-Bionics University of Science and Technology of ChinaHefei 230026China Jiangsu Key Laboratory of Micro and Nano Heat Fluid Flow technology and Energy Application School of Physical Science and TechnologySuzhou University of Science and TechnologySuzhou 215009China

The rapid development of artificial intelligence poses an urgent need for low-energy-consumption and small-sized artificial photonic ***,it is pretty novel to demonstrate a light-stimulated synaptic device based on a single(Al,Ga)N nanowire *** to the presence of vacancy defects in the single nanowire,the artificial synaptic device can simulate multiple functions of biological synapses under stimulation of both 310 and 365 nm light photons,including paired-pulse facilitation,spike timing dependent plasticity,and memory learning *** energy consumption of artificial synaptic device can be reduced as little as 5.58×10^(-13) J,which is close to that of the biological synapse in human ***,the synaptic device is demonstrated to have the high stability for both long-time stimulation and long-time *** on the experimental conductance of long-term potentiation and long-term depression,the simulated three-layer neural network can achieve a high recognition rate of 92%after only 10 training *** a brain-like behavior,the single-nanowire-based synaptic devices can promote the development of visual neuromorphic computing technology and artificial intelligence systems requiring ultralow energy consumption.

关键词： single(Al Ga)N nanowire light-stimulated synaptic device low-energy-consumption neural network

Through-polymer,via technology-enabled,flexible,lightweight,and integrated devices for implantable neural probes

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Microsystems & Nanoengineering 2024年第2期10卷 279-291页

作者： Cunkai Zhou Ye Tian Gen Li Yifei Ye Lusha Gao Jiazhi Li Ziwei Liu Haoyang Su Yunxiao Lu Meng Li Zhitao Zhou Xiaoling Wei Lunming Qin Tiger H.Tao Liuyang Sun College of Electronics and Information Engineering Shanghai University of Electric PowerShanghaiChina 2020 X-Lab Shanghai Institute of Microsystem and Information TechnologyChinese Academy of SciencesShanghaiChina School of Graduate Study University of Chinese Academy of SciencesBeijingChina State Key Laboratory of Transducer technology Shanghai Institute of Microsystem and Information TechnologyChinese Academy of SciencesShanghaiChina Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of SciencesBeijingChina School of Physical Science and technology ShanghaiTech UniversityShanghaiChina Center for Excellence in Brain Science and Intelligence technology Chinese Academy of SciencesShanghaiChina Neuroxess Co. Ltd.(Jiangxi)NanchangJiangxiChina Guangdong Institute of Intelligence Science and technology HengqinZhuhaiGuangdongChina Tianqiao and Chrissy Chen Institute for Translational Research ShanghaiChina

In implantable electrophysiological recording systems,the headstage typically comprises neural probes that interface with brain tissue and integrated circuit chips for signal *** advancements in MEMS and CMOS technology have significantly improved these components,their interconnection still relies on conventional printed circuit boards and sophisticated *** conventional approach adds considerable weight and volume to the package,especially for high channel count *** address this issue,we developed a through-polymer via(TPV)method inspired by the through-silicon via(TSV)technique in advanced three-dimensional *** innovation enables the vertical integration of flexible probes,amplifier chips,and PCBs,realizing a flexible,lightweight,and integrated device(FLID).The total weight of the FLIDis only 25%that of its conventional counterparts relying on adapters,which significantly increased the activity levels of animals wearing the FLIDs to nearly match the levels of control animals without ***,by incorporating a platinum-iridium alloy as the top layer material for electrical contact,the FLID realizes exceptional electrical performance,enabling in vivo measurements of both local field potentials and individual neuron action *** findings showcase the potential of FLIDs in scaling up implantable neural recording systems and mark a significant advancement in the field of neurotechnology.

关键词： alloy neural recording

Unified deep learning model for predicting fundus fluorescein angiography image from fundus structure image

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Innovative Optical Health Sciences 2024年第3期17卷 105-113页

作者： Yiwei Chen Yi He Hong Ye Lina Xing Xin Zhang Guohua Shi Jiangsu Key Laboratory of Medical Optics Suzhou Institute of Biomedical Engineering and TechnologyChinese Academy of SciencesSuzhou 215163P.R.China School of Biomedical Engineering(Suzhou) Division of Life Sciences and MedicineUniversity of Science and Technology of China Hefei 230026P.R.China Center for Excellence in Brain Science and Intelligence technology Chinese Academy of SciencesShanghai 200031P.R.China

The prediction of fundus fluorescein angiography(FFA)images from fundus structural images is a cutting-edge research topic in ophthalmological image *** comprises estimating FFA from fundus camera imaging,single-phase FFA from scanning laser ophthalmoscopy(SLO),and three-phase FFA also from *** many deep learning models are available,a single model can only perform one or two of these prediction *** accomplish three prediction tasks using a unified method,we propose a unified deep learning model for predicting FFA images from fundus structure images using a supervised generative adversarial *** three prediction tasks are processed as follows:data preparation,network training under FFA supervision,and FFA image prediction from fundus structure images on a test *** comparing the FFA images predicted by our model,pix2pix,and CycleGAN,we demonstrate the remarkable progress achieved by our *** high performance of our model is validated in terms of the peak signal-to-noise ratio,structural similarity index,and mean squared error.

关键词： Fundus fluorescein angiography image fundus structure image image translation unified deep learning model generative adversarial networks

technology Development and Production of Certain Chemical Platinum Metals Compounds at jsc ＂Krastsvetmet＂

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

贵金属 2012年第A1期33卷 85-87页

作者： ILYASHEVICH V. D. PAVLOVA E. I. KORITSKAYA N. G. MAMONOV S. N. SHULGIN D. R. MALTSEV E. V. jsc "Krastsvetmet" Krasnoyarsk Russia

In recent years jsc "Krastsvetmet" has successfully developed the production of chemically pure compounds of precious *** methods have been developed and facilities have been provided for industrial production of the following platinum metals compounds:Rhodium(Ⅲ) chloride hydrate,rhodium(Ⅲ) chloride solution,rhodium(Ⅲ) nitrate solution,rhodium(Ⅲ) iodide,rhodium(Ⅲ) sulfate,hydrated rhodium(Ⅲ) oxide,ammonium hexachlororodiate,rhodium(Ⅲ) phosphate solution,rhodium electrolytes;Iridium(Ⅳ) chloride hydrate,iridium(Ⅲ) chloride hydrate,ammonium hexachloroiridate(Ⅳ),hexa chloriridium acid solution,hexachloriridium crystalline acid;Ruthenium(Ⅲ) chloride hydrate,ruthenium(Ⅳ) hydroxide chloride,ruthenium(Ⅳ) hydroxide chloride solution,ammonium hexachlororuthenate,ruthenium(Ⅲ) chloride solution,potassium,diaquaoctachloronitrido *** quality of the production meets the requirements of Russian and foreign consumers.

关键词： refined metal feeding materials recovery process solutions crystal hydrates precious metals chemical compounds

Glassmaking Units and Glass Feeders Production -- a New Production Development Stage at jsc ＂Krastsvetmet＂

在线全文

学校读者我要写书评

暂无评论

贵金属 2012年第A1期33卷 117-120页

作者： MALTSEV E. V. MAMONOV S. N. DMITRIEV V. A. KHORIKOV P. A. jsc "Krastsvetmet" Krasnoyarsk Russia

jsc "Krastsvetmet" has launched the production of glass melting units(GU) and glass feeders(GF),with the number of bushings being from 200 to 4000,made from platinum-rhodium alloys doped with oxide forming and reinforcing *** proprietary technology for dispersion-stabilized material of PtRh10DS composition having high strength and performance properties has been developed and *** products production was launched where bushings made of PtRh-20 alloy are welded to the plate of the dispersion-stabilized PtRh10DS *** manufacture of seamless spinning assemblies has been organized.

关键词： Glass-melting units glass feeders platinum-rhodium alloys dispersion-stabilized material

Development and Making of New Jewellery Palladium Based Alloys at jsc ＂Krastsvetmet＂

在线全文

学校读者我要写书评

暂无评论

贵金属 2012年第A1期33卷 279-280页

作者： YEFIMOV V. N. MAMONOV S. N. SHULGIN D. R. YELTSIN S. I. jsc Krastsvetmet Krasnoyarsk Russia

Complex of research and development work aimed at implementation of jewellery palladium based alloys technology has been carried out at jsc Krastsvetmet. A range of palladium alloys jewellery fabrication has been organized. Compositions of a number of jewellery palladium alloys grade 850, 900, 950 and 990 have been proposed, their production and application in jewellery manufacture has been organized. To produce palladium alloys induction melting in inert atmosphere and melt pouring into a copper mould has been used. The ingots heat treatment conditions, as well as semi-finished jewelry plastic deformation parameters have been determined.

关键词： jewellery palladium alloys induction melting inert gas plastic deformation jewellery products

Machine learning for recovery factor estimation of an oil reservoir:A tool for derisking at a hydrocarbon asset evaluation

在线全文

学校读者我要写书评

暂无评论

Petroleum 2022年第2期8卷 278-290页

作者： Ivan Makhotin Denis Orlov Dmitry Koroteev Evgeny Burnaev Aram Karapetyan Dmitry Antonenko Skolkovo Institute of Science and technology MoscowRussia jsc Zarubezhneft MoscowRussia

Well-known oil recovery factor estimation techniques such as analogy,volumetric calculations,material balance,decline curve analysis,hydrodynamic simulations have certain *** techniques are time-consuming,and require specific data and expert ***,though uncertainty estimation is highly desirable for this problem,the methods above do not include this by *** this work,we present a data-driven technique for oil recovery factor(limited to water flooding)estimation using reservoir parameters and representative *** apply advanced machine learning methods to historical worldwide oilfields datasets(more than 2000 oil reservoirs).The data-driven model might be used as a general tool for rapid and completely objective estimation of the oil recovery *** addition,it includes the ability to work with partial input data and to estimate the prediction interval of the oil recovery *** perform the evaluation in terms of accuracy and prediction intervals coverage for several tree-based machine learning techniques in application to the following two cases:(1)using parameters only related to geometry,geology,transport,storage and fluid properties,(2)using an extended set of parameters including development and production *** both cases,the model proved itself to be robust and *** conclude that the proposed data-driven approach overcomes several limitations of the traditional methods and is suitable for rapid,reliable and objective estimation of oil recovery factor for hydrocarbon reservoir.

关键词： Oil recovery factor Machine learning Regression Uncertainty estimation Conformal predictors Clustering Oilfield Oil reservoir