检索结果-南通市图书馆

Chinese Journal of Chemical Engineering 2024年第7期71卷 272-282页

作者： Qiyao zhang shuangshuang zhang Xu Hu Yongmin Huang Key Laboratory of Specially Functional Polymeric Materials and Related Technology School of Chemistry and Molecular EngineeringEast China University of Science and TechnologyShanghai 200237China

The self-made MnFeO_(x) catalysts doped with cerium and samarium were prepared by impregnation method for low-temperature selective catalytic reduction(SCR)by *** this work,the surface properties of the series of MnFe-based catalysts were *** results indicate Sm-modified catalyst have superior low-temperature SCR activity;NO_(x) conversion maintained at nearby to 100%at 90℃ to 240℃.In addition,The N_(2) selectivity of Sm doping remains above 80%in the range of 60℃ to 150℃.In SO_(2) poisoning test,the NO_(x) conversion can be remained>90%after 10 h of *** XPS,NH_(3)-TPD and H_(2)-TPR results show the catalyst with Sm doping enhances the acid sites and oxidation catalytic sites of mixed oxides serves for improving oxygen vacancies and transfer *** situ diffuse reflaxions infrared Fourier transformations spectroscopy(DRIFTS)results show that NO_(x) is more easily adsorbed on the surface after Sm doping,which provided favorable conditions for the NH_(3)-SCR reaction to *** reaction at the catalyst surface will follow the L-H reaction mechanism by transient reaction test.

关键词： SCR Sm doping Catalyst Sulfur resistance In situ DRIFTS Selectivity

Research on High Precision Tracking Method of Guided Transport Vehicle Based on Autonomous Combination Positioning

在线全文

学校读者我要写书评

暂无评论

Chinese Journal of Electronics 2020年第4期29卷 779-785页

作者： CAO Yuan zhang shuangshuang YANG Guizhi WEN Tao National Engineering Research Center of Rail Transportation Operation and Control System Beijing Jiaotong University School of Electronic and Information Engineering Beijing Jiaotong University

Guided transport vehicle(GTV) uses satellite positioning technology, lidar, and highperformance video sensors to achieve real-time positioning and tracing, these devices cost a *** addition, GTV shifts left and right during operation due to there is no fixed orbits *** is very important to detect the lateral offset in real time to ensure the accurate tracing of the vehicle along the dotted *** at the above issues, this paper proposes a low-cost high precision tracing method for GTV based on integrated positioning,high resolution estimation of the vehicles positioning information is implemented by Cubature Kalman filters(CKF) with a loosely coupled mode based on GPS/SINS in this method; Considering that GTV has a fixed driving route, a two-stage map matching algorithm based on Hidden Markov model(HMM) is proposed, which further improves the accuracy; The lateral offset distance is detected based on the positioning information, which provides theoretical support for the subsequent control of the precise operation of the *** algorithm’s feasibility has been verified by real vehicle experiments,the results show that the proposed algorithm achieves a centimeter-level positioning accuracy, and when the lateral offset distance is not less than 65 cm, the detection accuracy of the lateral offset distance is more than 92%.

关键词： Positioning and tracing CKF Map matching Lateral offset detection

Tuning of activated sludge in winter based on respirogram profiles under standard and site temperatures

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Journal of Environmental Sciences 2019年第5期31卷 330-338页

作者： Zhihua Li Zhenyu Hang Qian zhang shuangshuang zhang Tianyu zhang Hanqing Yu School of Environmental and Municipal Engineering Xi'an University of Architecture and Technology Department of Mathematical Sciences Montana State University CAS Key Laboratory of Urban Pollutant Conversion Department of Chemistry University of Science & Technology of China

Respirograms of activated sludge OUR_ x^Tand OUR_x^(20)were measured under site(T) and standard(20°C) temperatures, respectively, and the predicted standard temperature respirogram OUR_( x,cal)^(20)was also calculated using the Arrhenius equation. These respirogram profiles reveal more information than effluent quality. A decrease of OUR_ x ^(20)is a critical alarm signal for the loss of pollutant removal capacity, and a sudden increase of the predicted value OUR_( x,cal)^(20)is an alarm signal for the unrecoverable deterioration of biomass. The sign of OUR_x^(20)–OUR_(x,cal)^(20)can be used for selection of tuning strategies. For example, a negative value of OUR_x^(20)–OUR_( x,cal)^(20)indicates that doubling biomass is difficult,thus strategies such as extending the reaction time with limited available biomass is preferred. The findings in this study elucidated the respiration profile of activated sludge under changes of temperature and can be effectively used for the stable operation of Wastewater Treatment Plants under cold temperatures and seasonal variations.

关键词： Activated sludge Cold temperature shocking Oxygen uptake rate(OUR) Respirogram Seasonal variations

Highly efficient electrochemically driven water oxidation by graphenesupported mixed-valent Mn_(16)-containing polyoxometalate

在线全文

学校读者我要写书评

暂无评论

Green Energy & Environment 2016年第2期1卷 138-143页

作者： Xiaolin Xing Meng Wang Rongji Liu shuangshuang zhang Ke zhang Bin Li Guangjin zhang Key Laboratory of Green Process and Engineering Institute of Process Engineering Chinese Academy of Sciences Jacobs University Department of Life Sciences and Chemistry Zhengzhou Tobacco Research Institute of CNTC

A highly efficient catalyst of graphene-supported mixed-valent Mn_(16)-containing polyoxometalate is reported here by electrochemical strategy. The modified electrode with the catalyst exhibits an excellent electrocatalytic performance for water oxidation, which will contribute to the development of highly efficient catalysts for oxygen evolution.

关键词： Water oxidation Polyoxometalates Graphene Electrocatalysis

Development of cryptotanshinone-loaded pellets for angina chronotherapy:In vitro/in vivo prediction and evaluation

在线全文

学校读者我要写书评

暂无评论

Asian Journal of Pharmaceutical Sciences 2018年第4期13卷 310-316页

作者： Zhenghua Li shuangshuang zhang Hongxiang Yan Jianping Liu Department of Pharmaceutics China Pharmaceutical University

The clinical manifestations of variant angina is unevenly distributed during the 24 h, thusthe in vivo performance of drugs should be tailored according to the angina circadianrhythm. Cryptotanshinone(CTN) is one of the representative bioactive lipid-soluble com-ponents of Danshen which has been commonly used for cardiovascular diseases such asangina pectoris. The aim of this study was to develop a novel CTN sustained-released pel-lets(CTN-SRPs) to precisely synchronize the CTN plasma concentrations with predictedoccurrence of angina pectoris for angina chronotherapy. A deconvolution-based methodwas applied to develop and optimize the CTN-SRPs. The plasma concentration-time curveof CTN immediate-released formulation after oral administration in rats was used as theweight function. The predicted plasma concentration-time curve of CTN-SRPs simulatedaccording to the incidence of variant angina during 24 h was used as the response func-tion. Then the desired drug release profile of CTN-SRPs was calculated based on deconvo-lution using weight function and response function, and subsequently used for guiding theformulation optimization. CTN-SRPs were prepared with the combinations of PVP, polox-amer 127 and EC as matrix using fluidized bed technology. An orthogonal design was em-ployed to obtain the optimal formulation with its release profile similar with the desiredone. Pharmacokinetic studies validated that the actual plasma concentration-time curve ofthese optimized CTN-SRPs was similar with the predicted one. In addition, the percent er-rors(%PE) of CTN plasma concentrations in 8–12 h were less than 10%. In conclusion, thisdeconvolution-based method could be applied to adjust the in vivo performance of drugs forangina chronotherapy.

关键词： Chronotherapy Deconvolution Angina pectoris Cryptotanshinone In vitro/in vivo performance Control release

Modeling of the resilient supply chain system from a perspective of production design changes

在线全文

学校读者我要写书评

暂无评论

Frontiers of Engineering Management 2023年第1期10卷 96-106页

作者： shuangshuang zhang Hongfeng WANG Guo LI Junwei WANG College of Information Science and Engineering Northeastern UniversityShenyang 110819China School of Management and Economics Beijing Institute of TechnologyBeijing 100081China Department of Industrial and Manufacturing System Engineering The University of Hong KongHong KongChina

Building an effective resilient supply chain system (RSCS) is critical and necessary to reduce the risk of supply chain disruptions in unexpected scenarios such as COVID-19 pandemic and trade wars. To overcome the impact of insufficient raw material supply on the supply chain in mass disruption scenarios, this study proposes a novel RSCS considering product design changes (PDC). An RSCS domain model is first developed from the perspective of PDC based on a general conceptual framework, i.e., function-context-behavior-principle-state-structure (FCBPSS), which can portray complex systems under unpredictable situations. Specifically, the interaction among the structure, state and behavior of the infrastructure system and substance system is captured, and then a quantitative analysis of the change impact process is presented to evaluate the resilience of both the product and supply chain. Next, a case study is conducted to demonstrate the PDC strategy and to validate the feasibility and effectiveness of the RSCS domain model. The results show that the restructured RSCS based on the proposed strategy and model can remedy the huge losses caused by the unavailability of raw materials.

关键词： resilient supply chain supply chain disruption domain modeling product design changes

Productivity Prediction Model of Perforated Horizontal Well Based on Permeability Calculation in Near-Well High Permeability Reservoir Area

在线全文

学校读者我要写书评

暂无评论

Energy Engineering 2024年第1期121卷 59-75页

作者： shuangshuang zhang Kangliang Guo Xinchen Gao Haoran Yang Jinfeng zhang Xing Han College of the Earth Science Yangtze UniversityWuhan430100China PetroChina Changqing Oilfield Fifth Oil Production Plant Xi’an710201China Sinopec Jianghan Oilfield Information Center Wuhan430100China

To improve the productivity of oil wells,perforation technology is usually used to improve the productivity of horizontal wells in oilfield *** the perforation operation,the perforation channel around the wellbore will form a near-well high-permeability reservoir area with the penetration depth as the radius,that is,the formation has different permeability characteristics with the perforation depth as the dividing ***,the permeability is measured by the permeability tester,but this approach has a high workload and limited *** this paper,according to the reservoir characteristics of perforated horizontal wells,the reservoir is divided into two areas:the original reservoir area and the near-well high permeability reservoir *** on the theory of seepage mechanics and the formula of open hole productivity,the permeability calculation formula of near-well high permeability reservoir area with perforation parameters is *** to the principle of seepage continuity,the seepage is regarded as the synthesis of two directions:the horizontal plane elliptic seepage field and the vertical plane radial seepage field,and the oil well productivity prediction model of the perforated horizontal well is established by *** model comparison demonstrates that the model is reasonable and *** calculate and analyze the effect of oil well production and the law of influencing factors,actual production data of the oilfield are substituted into the oil well productivity *** can effectively guide the technical process design and effect prediction of perforated horizontal wells.

关键词： Perforated horizontal well permeability productivity model sensitivity analysis

Prediction of Low-Permeability Reservoirs Performances Using Long and Short-Term Memory Machine Learning

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Fluid Dynamics & Materials Processing 2022年第5期18卷 1521-1528页

作者： Guowei Zhu Kangliang Guo Haoran Yang Xinchen Gao shuangshuang zhang School of Geosciences Yangtze UniversityWuhan430100China

In order to overcome the typical limitations of numerical simulation methods used to estimate the production of low-permeability reservoirs,in this study,a new data-driven approach is proposed for the case of water-driven hypo-permeable *** particular,given the bottlenecks of traditional recurrent neural networks in handling time series data,a neural network with long and short-term memory is used for such a *** method can reduce the time required to solve a large number of partial differential *** such,it can therefore significantly improve the efficiency in predicting the needed production *** examples about water-driven hypotonic reservoirs are provided to demonstrate the correctness of the method and its ability to meet the requirements for practical reservoir applications.

关键词： Water flooding flow in porous media data-driven LSTM CFD

Optimization Design of Halbach Permanent Magnet Motor Based on Multi-objective Sensitivity

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

CES Transactions on Electrical Machines and Systems 2020年第1期4卷 20-26页

作者： shuangshuang zhang Wei zhang Rui Wang Xu zhang Xiaotong zhang School of Electrical Engineering Nantong UniversityNantong226019China

The halbach permanent magnet synchronous motor(HPMSM)combines the advantages of permanent magnet motors and halbach arrays,which make it very suitable to act as a robot joint motor,and it can also be used in other fields,such as electric vehicles,wind power generation,*** first,the sizing equation is derived and the initial design dimensions are calculated for the HPMSM with the rated power of 275W,based on which the finite element parametric model of the motor is built up and the key structural parameters that affect the total harmonic distortion of air-gap flux density and output torque are determined by analyzing multi-objective *** the structure parameters are optimized by using the cuckoo search ***,in view of the problem of local overheating of the motor,an improved stator slot structure is proposed and *** the condition of the same outer dimensions,the electromagnetic performance of the HPMSM before and after the improvement are analyzed and compared by the finite element *** is found that the improved HPMSM can obtain better performances.

关键词： Halbach permanent magnet synchronous motor multi-objective sensitivity cuckoo search algorithm electromagnetic characteristics finite element analysis

Discovery of superhard materials via CALYPSO methodology

在线全文

学校读者我要写书评

暂无评论

Chinese Physics B 2019年第10期28卷 10-21页

作者： shuangshuang zhang Julong He Zhisheng Zhao Dongli Yu Yongjun Tian Center for High Pressure Science (CHiPS) State Key Laboratory of Metastable Materials Science and TechnologyYanshan University

The study of superhard materials plays a critical role in modern industrial applications due to their widespread applications as cutting tools, abrasives, exploitation drills, and coatings. The search for new superhard materials with superior performance remains a hot topic and is mainly considered as two classes of materials:(i) the light-element compounds in the B-C-N-O(-Si) system with strong and short covalent bonds, and(ii) the transition-element light-element compounds with strong covalent bonds frameworks and high valence electron density. In this paper, we review the recent achievements in the prediction of superhard materials mostly using the advanced CALYPSO methodology. A number of novel, superhard crystals of light-element compounds and transition-metal borides, carbides, and nitrides have been theoretically identified and some of them account well for the experimentally mysterious phases. To design superhard materials via CALYPSO methodology is independent of any known structural and experimental data, resulting in many remarkable structures accelerating the development of new superhard materials.

关键词： CALYPSO superhard materials crystal structure prediction