检索结果-南通市图书馆

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

刚果(金)绿纱铜钴矿湿法冶金工艺优化

世界有色金属 2024年第10期 10-12页

作者：吴免利王亚雷高帮飞中铁资源集团有限公司北京100039 绿纱矿业股份有限公司刚果(金)

绿纱铜钴矿位于刚果(金)上加丹加省卢本巴西市西北方向约70km。绿纱铜钴矿床以硫化矿为主,近地表有部分氧化矿。设计采用氧化矿和硫化矿混合浮选后沸腾焙烧,焙砂进入浸出-萃取-电积生产阴极铜,萃余液中和生产氢氧化钴的湿法冶金工序。... 详细信息

绿纱铜钴矿位于刚果(金)上加丹加省卢本巴西市西北方向约70km。绿纱铜钴矿床以硫化矿为主,近地表有部分氧化矿。设计采用氧化矿和硫化矿混合浮选后沸腾焙烧,焙砂进入浸出-萃取-电积生产阴极铜,萃余液中和生产氢氧化钴的湿法冶金工序。实践表明,采用混合浮选影响铜钴的综合回收,且设备产能无法充分发挥。改造后,采用氧化矿直接浸出,硫化矿浮选-焙烧后进入湿法系统的方案,铜综合回收率大幅提升,且产能由2.5万吨/年,增加到3.5万吨/年。

关键词：赞比亚-刚果(金)铜矿带铜钴矿床氧化矿硫化矿湿法冶金工艺优化

维普期刊数据库博看期刊

径向湍性输运条件下CFETR平行热通量及包层能量沉积模拟

在线全文

学校读者我要写书评

暂无评论

核聚变与等离子体物理 2024年第1期44卷 65-71页

作者：高泽石王亚磊李彦龙田文喜才来中吴雪科连强李昕泽王占辉西安交通大学西安710049 中国科学技术大学合肥230026 核工业西南物理研究院成都610041

采用BOUT++输运程序与PFCFlux程序的耦合对CFETR包层第一壁上的能量沉积情况进行了模拟。研究发现,当湍性输运系数为50m^(2)·s^(-1)时,最外闭合磁面上的极向平均平行热通量为14058.5MW·m^(-2),进入刮削层的等离子体功率Psol的值为197.... 详细信息

采用BOUT++输运程序与PFCFlux程序的耦合对CFETR包层第一壁上的能量沉积情况进行了模拟。研究发现,当湍性输运系数为50m^(2)·s^(-1)时,最外闭合磁面上的极向平均平行热通量为14058.5MW·m^(-2),进入刮削层的等离子体功率Psol的值为197.4MW;CFETR包层第一壁上的能量沉积主要集中于真空室壁靠近中心螺线管的高场侧区域,最大热通量出现在这一区域的中间部分。

关键词： CFETR BOUT++ PFCFlux 平行热通量能量沉积

考虑集雨效率和生态效应的近自然集雨面综合评价比选

在线全文

学校读者我要写书评

暂无评论

水电能源科学 2024年第2期42卷 26-29,93页

作者：董恒文李荣亮段梓诚杨继清朱辉王亚磊彭尔瑞中国有色金属工业昆明勘察设计研究院有限公司云南昆明650051 云南农业大学水利学院云南昆明650201 云南农业大学建筑工程学院云南昆明650201

针对香格里拉普朗铜矿区高陡边坡植被修复无灌溉水源的问题,结合当地的降雨特点,在不影响原生境的情况下,开展SCA-2配合比试验、集雨试验并利用AHP层次分析法和模糊综合评价模型分析了不同类型集雨面的集雨效率及集雨优劣情况。结果表明... 详细信息

针对香格里拉普朗铜矿区高陡边坡植被修复无灌溉水源的问题,结合当地的降雨特点,在不影响原生境的情况下,开展SCA-2配合比试验、集雨试验并利用AHP层次分析法和模糊综合评价模型分析了不同类型集雨面的集雨效率及集雨优劣情况。结果表明,研究区土壤与SCA-2型土壤固化剂最佳使用配比为0.45%(质量占比);与自然坡面(T1)、夯实坡面(T2)和塑膜坡面(T3)相比,最优配比SCA-2处理坡面(T5)的集雨效率明显增加,仅次于混凝土坡面(T4),5种集雨面的平均集雨效率从大到小的顺序为T4>T5>T3>T2>T1;从生态、经济、耐久和高效4个指标进行评价,5种集雨面的优劣顺序为T5>T4>T3>T1>T2,可推得最优配比SCA-2处理坡面是一种相对更经济、生态的近自然集雨面。

关键词：近自然集雨面集雨效率生态效应矿山修复

In-situ SEM characterization of fracture mechanism of TiB/Ti-2Al-6Sn titanium matrix composites after electroshocking treatment

在线全文

学校读者我要写书评

暂无评论

Rare Metals 2024年第6期43卷 2805-2818页

作者： ya-ya Wu Jian Zhou Guo-lei Han yan Wen Zhou wang Li-Qiang wang Wei-Jie Lv Le-Chun Xie Lin Hua Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan University of TechnologyWuhan 430070China Hubei Collaborative Innovation Center for Automotive Components Technology Wuhan 430070China Faculty of Materials and Manufacturing Beijing University of TechnologyBeijing 100124China State Key Laboratory of Metal Matrix Composites School of Materials Science and EngineeringShanghai Jiao Tong UniversityShanghai 200240China

In this article,in-situ scanning electron microscope characterization of the tensile properties of TiB/Ti-2Al-6Sn titanium matrix composite(TMC)was conducted before and after electroshocking treatment(EST).After EST,the tensile strength increased by 113.2 *** effect of EST on the tensile strength and fracture behavior of TiB was investigated using in-situ characterization of the fracture morphology and crack propagation path of the matrix and *** EST,TiB fracture introduced cracks that extended into the matrix,resulting in material *** EST,the refined TiB improved the bearing capacity of the matrix,thereby improving TMC ***,after EST,the cracks were introduced into the matrix,and resulting the fracture of matrix *** an increase in the external load,cracks in the matrix were observed to propagate to TiB,and the refined TiB was fractured,detached,and pulled out,resulting in the formation of *** the propagation path of the main crack after EST showed that the deflection angle of the main crack *** micro structure of the fracture surface indicated that the fracture of the matrix was plastic,whereas that of TiB was *** EST,the size and area of the dimples increased,confirming the increase in *** results revealed that the comprehensive mechanical properties of TiB/Ti-2Al-6Sn improved after ***,EST is an efficient method for tailoring the micro structures and mechanical properties of TMCs.

关键词： TiB/Ti-2Al-6Sn In-situ microstructure characterization Tensile properties Reinforcement Electroshocking treatment(EST)

Metal-organic framework-derived CoSe_(2)@N-doped carbon nanocubes for high-performance lithium-ion capacitors

在线全文

学校读者我要写书评

暂无评论

Rare Metals 2024年第5期43卷 2150-2160页

作者： lei wang Xiong Zhang yan-yan Kong Chen Li ya-Bin An Xian-Zhong Sun Kai wang yan-Wei Ma Institute of Electrical Engineering Chinese Academy of SciencesBeijing 100190China School of Engineering Sciences University of Chinese Academy of SciencesBeijing 100190China Institute of Electrical Engineering and Advanced Electromagnetic Drive Technology Qilu ZhongkeJinan 250013China School of Materials Science and Engineering Zhengzhou UniversityZhengzhou 450001China

Cobalt selenide(CoSe_(2))has garnered considerable attention as a prospective anode candidate for advanced lithium-ion storage,prompting comprehensive ***,CoSe_(2)-based anodes usually suffer from significant volume variation upon lithiation leading to unsatisfactory cycling ***,a versatile synthesis route is proposed for the in-situ fabrication of CoSe2nanoparticles embedded in N-dope carbon skeleton(CoSe_(2)@NC)through annealing treatment and selenization of a metal–organic framework-derived(MOF)*** N-doped carbon derived from the MOF serves not only as an excellent conductive substrate but also as a confined reactor,effectively inhibiting the structural instability and alleviating the inevitable volume change of CoSe_(2).Owing to their unique nanostructure,the as-prepared CoSe_(2)@NC exhibits a high capacity of 745.9mAh·g^(-1)at 0.1 A·g^(-1),while maintaining excellent rate capability and an impressive ***,the assembled lithium-ion capacitor(LIC)based on CoSe_(2)@NC demonstrates an energy density of 130Wh·kg^(-1),a power density of 24.6 kW·kg^(-1),and remarkable capacity retention of 90.8%after 8000 *** results highlight the great potential of CoSe_(2)@NC for practical applications.

关键词： Lithium capacitors Cobalt selenide Metal-organic frameworks N-doped carbon

Research on shell-side heat and mass transfer with multi-component in LNG spiral-wound heat exchanger under sloshing conditions

在线全文

学校读者我要写书评

暂无评论

Petroleum Science 2024年第2期21卷 1333-1345页

作者： Xue-Ping Du Guang-lei Yu ya-Cheng Xu Zhi-Jie Chen Nai-Liang Li Huan-Guang wang School of Low-carbon Energy and Power Engineering China University of Mining and TechnologyXuzhou221116JiangsuChina Key Laboratory of Thermo-Fluid Science and Engineering MOEXi'an Jiaotong UniversityXi'an710049ShaanxiChina Xi'an Aerospace Propulsion Test Technology Institute Xi'an710100ShaanxiChina

The spiral-wound heat exchanger(SWHE) is the primary low-temperature heat exchanger for large-scale LNG plants due to its high-pressure resistance, compact structure, and high heat exchange efficiency. This paper studied the shell-side heat and mass transfer characteristics of vapor-liquid two-phase mixed refrigerants in an SWHE by combining a multi-component model in FLUENT software with a customized multicomponent mass transfer model. Besides, the mathematical model under the sloshing condition was obtained through mathematical derivation, and the corresponding UDF code was loaded into FLUENT as the momentum source term. The results under the sloshing conditions were compared with the relevant parameters under the steady-state condition. The shell-side heat and mass transfer characteristics of the SWHE were investigated by adjusting the component ratio and other working conditions. It was found that the sloshing conditions enhance the heat transfer performance and sometimes have insignificant effects. The sloshing condition is beneficial to reduce the flow resistance. The comprehensive performance of multi-component refrigerants has been improved and the improvement is more significant under sloshing conditions, considering both the heat transfer and pressure *** results will provide theoretical support for the research and design of multi-component heat and mass transfer enhancement of LNG SWHE under ocean sloshing conditions.

关键词： Spiral-wound heat exchanger Sloshing conditions Two-phase flow Multi-component Heat and mass transfer

Two-Stage Online Debiased Lasso Estimation and Inference for High-Dimensional Quantile Regression with Streaming Data

在线全文

学校读者我要写书评

暂无评论

Journal of Systems Science & Complexity 2024年第3期37卷 1251-1270页

作者： PENG yanjin wang lei School of Statistics and Data Science KLMDASRLEBPS and LPMCNankai UniversityTianjin 300071China

In this paper,the authors propose a two-stage online debiased lasso estimation and statistical inference method for high-dimensional quantile regression(QR)models in the presence of streaming *** the first stage,the authors modify the QR score function based on kernel smoothing and obtain the online lasso smoothed QR estimator through iterative *** estimation process only involves the current data batch and specific historical summary statistics,which perfectly accommodates to the special structure of streaming *** the second stage,an online debiasing procedure is carried out to eliminate biases caused by the lasso penalty as well as the accumulative approximation error so that the asymptotic normality of the resulting estimator can be *** authors conduct extensive numerical experiments to evaluate the performance of the proposed *** experiments demonstrate the effectiveness of the proposed method and support the theoretical *** application to the Beijing PM2.5 Dataset is also presented.

关键词： Adaptive tuning asymptotic normality debiased lasso online updating quantile regres-sion

Anti-corrosive and highly reversible zinc metal anode enabled by the phenolic resin coating

在线全文

学校读者我要写书评

暂无评论

Rare Metals 2024年第5期43卷 2115-2124页

作者： ya-Ping wang ya-Di yang Shu-Qi Duan Li wang Jia-Shuo Guo An-Qiang Pan School of Materials Science and Engineering Hebei University of TechnologyTianjin 300130China Key Laboratory of Special Functional Materials for Ecological Environment and Information(Hebei University of Technology).Ministry of Education Tianjin 300130China Key Laboratory for New Type of Functional Materials in Hebei Province Hebei University of TechnologyTianjin 300130China School of Materials Science and Engineering Central South UniversityChangsha 410083China

Aqueous zinc-ion batteries have attracted much attention due to their high theoretical capacity,low cost high safety,and ***,challenges such as dendrite growth and side reactions severely hinder the electrochemical performance of the Zn anode,leading to low Coulombic efficiency(CE)or even short circuits Herein,phenolic resin(PF)is used as a protective coating on the surface of the zinc metal *** PF layer can greatly improve the corrosion resistance of the Zn electrode in the ***,this artificial electrode/electrolyte interphase also elevates the nucleation barrier and restrains Zn^(2+)2D diffusion,regulating the zinc deposition/dissolution *** a result,PF@Zn symmetric cells exhibit superior performance than that of bare Zn symmetric cells,achieving a stable and dendrite-free cycle of 1400 ***,the carbon nanotube MnO_(2)||PF@Zn(CNT/MnO_(2)||PF@Zn)full cell also delivers a long cycle life with a high-capacity retention of about 180.0 m Ah·g^(-1)after 1400 cycles,far exceeding that of bare Zn *** work provides a facile strategy for achieving a dendrite-free and rechargeable zinc anode.

关键词： Rechargeable aqueous batteries Zn metal anode Phenolic resin Anti-corrosion

Pre-Training Physics-Informed Neural Network with Mixed Sampling and Its Application in High-Dimensional Systems

在线全文

学校读者我要写书评

暂无评论

Journal of Systems Science & Complexity 2024年第2期37卷 494-510页

作者： LIU Haiyi ZHANG yabin wang lei School of Mathematics and Physics North China Electric Power UniversityBeijing 102206China School of Control and Computer Engineering North China Electric Power UniversityBeijing 102206China

Recently,the physics-informed neural network shows remarkable ability in the context of solving the low-dimensional nonlinear partial differential ***,for some cases of high-dimensional systems,such technique may be time-consuming and *** this paper,the authors put forward a pre-training physics-informed neural network with mixed sampling(pPINN)to address these *** based on the initial and boundary conditions,the authors design the pre-training stage to filter out the set of the misfitting points,which is regarded as part of the training points in the next *** authors further take the parameters of the neural network in Stage 1 as the initialization in Stage *** advantage of the proposed approach is that it takes less time to transfer the valuable information from the first stage to the second one to improve the calculation accuracy,especially for the high-dimensional *** verify the performance of the pPINN algorithm,the authors first focus on the growing-and-decaying mode of line rogue wave in the Davey-Stewartson I *** case is the accelerated motion of lump in the inhomogeneous Kadomtsev-Petviashvili equation,which admits a more complex evolution than the uniform *** exact solution provides a perfect sample for data experiments,and can also be used as a reference frame to identify the performance of the *** experiments confirm that the pPINN algorithm can improve the prediction accuracy and training efficiency well,and reduce the training time to a large extent for simulating nonlinear waves of high-dimensional equations.

关键词： High-dimensional systems mixed sampling nonlinear wave pre-training physics-informed neural network