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Study of Process of Zhuang Medicine Wuzhi Maotao Buxu Granule 认领 引用
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作者 Dongmei HUANG Sun SUN +4 位作者 Bing QING Xiumei MA Wen ZHONG Zujie QIN Jiangcun WEI 《Medicinal Plant》 2026年第3期15-18,46,共4页
[Objectives]To study the process of Zhuang medicine Wuzhi Maotao Buxu Granule.[Methods]The orthogonal design method was used to optimize the best water extraction process with the amount of water,extraction time and e... [Objectives]To study the process of Zhuang medicine Wuzhi Maotao Buxu Granule.[Methods]The orthogonal design method was used to optimize the best water extraction process with the amount of water,extraction time and extraction times as factors and the dry extraction yield of granules as the indicators.The concentration process was screened and molding process and the pilot production were studied.[Results]The optimal water extraction process was as follows:soaked in water for 30 min,decocted twice-first with 10 times the amount of water for 1 h,then with 8 times the amount of water for 1 h.The extract was concentrated using a two-step method:initial concentration under reduced pressure,followed by secondary concentration at atmospheric pressure.Ethanol concentration was 85%,with dextrin as the filler.The product yield of three batches of Wuzhi Maotao Buxu Granule all exceeded 80%.[Conclusions]Wuzhi Maotao Buxu Granule was extracted using the water extraction method.Through the selection of concentration processes,research on granulation techniques,and pilot-scale production studies,the granules formed well with high yield,good fluidity,high efficiency,and suitability for large-scale production. 展开更多
关键词 Wuzhi Maotao Buxu Granule Extraction process Preparation process Molding process Concentration process
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Life cycle-based environmental comparison and optimization of iron ore pelletizing processes 认领 引用
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作者 Qiu-Yu Li Yuan-Bo Zhang +3 位作者 Zi-Jian Su Yu-Juan Cai Ke Ma Tao Jiang 《Journal of Iron and Steel Research International》 SCIE EI CSCD 2026年第6期432-444,共13页
Pellet ores are recognized as an effective route for energy saving and carbon mitigation in ironmaking,yet systematic life cycle assessment(LCA)of pellet production remains limited.Thus,the environmental impacts and c... Pellet ores are recognized as an effective route for energy saving and carbon mitigation in ironmaking,yet systematic life cycle assessment(LCA)of pellet production remains limited.Thus,the environmental impacts and carbon-reduction potential of optimization measures across different pelletizing processes were quantified using a cradle-to-gate LCA approach.The results indicated that the predominant environmental burdens associated with pellet production were caused by iron concentrate,electricity,fuel,and direct emissions.Overall,the straight grate(SG)process exhibited lower impacts across multiple categories compared to the grate kiln(GK)process.The greenhouse gas(GHG)emissions from SG and GK were 118.51 and 146.78 kg CO2equivalent per 1000 kg of pellet ores,respectively.Sensitivity analysis revealed that iron ore concentrate,fuel,and electricity were the key factors in the pelletizing process.Compared to conventional levels,utilizing secondary resources,optimizing energy structure,and implementing advanced carbon capture and storage technologies could reduce GHG emissions from SG and GK to 32.89%and 34.81%,respectively. 展开更多
关键词 Iron ore pelletizing process Life cycle assessment Straight grate process Grate kiln process Carbon emission reduction
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Optimization of multi-process parameters in secondary cooling solidification process of S30432 continuous casting billet 认领 引用
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作者 Zhi-qiang Li Ying-xuan Shan +2 位作者 Li Wu Hua Hou Yu-hong Zhao 《China Foundry》 SCIE EI CAS CSCD 2026年第3期407-420,共14页
The synergistic mechanism of multiple process parameters on the solidification structure of niobium containing austenitic stainless steel during continuous casting is complex,which seriously affects the quality of con... The synergistic mechanism of multiple process parameters on the solidification structure of niobium containing austenitic stainless steel during continuous casting is complex,which seriously affects the quality of continuous casting billets and seamless pipes.In order to optimize the quality of continuous casting billet,a finite element model of solidification and heat transfer in continuous casting process was established for the secondary cooling process of continuous casting billet.The control variable method was used to explore the influence of casting speed and superheat on the solidification process.At the same time,an orthogonal scheme was designed to study the coupling effect of multiple process parameters on the heat transfer and solidification state of continuous casting billets,and optimized process parameters were selected.The optimization results of process parameters were verified through production experiments,and it is found that the enrichment of coarse niobium compounds directly causes the initiation and propagation of inner wall cracks during the large deformation hot piercing of S30432 seamless tubes.Process parameter optimization,especially the synergistic effect of the decrease of superheat and increase of specific water flow promotes the grain refinement and expension of equiaxed crystal zone,thereby mitigating the segregation of Nb elements and improving the distribution of niobium compounds. 展开更多
关键词 continuous casting solidification process process parameter optimization niobium compounds crack
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From Shallow to Deep:A Novel Correlation Network Representation Regression Framework for Modeling and Monitoring MIQ-Driven Blast Furnace Ironmaking Processes 认领 引用
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作者 Siwei Lou Chunjie Yang +3 位作者 Zhe Liu Hanwen Zhang Chao Liu Ping Wu 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2026年第2期281-299,共19页
Ironmaking process(IP)is indispensable to modern iron and steel industry,where real-time monitoring is crucial for achieving high molten iron quality(MIQ)with low energy consumption.While neural network-based models s... Ironmaking process(IP)is indispensable to modern iron and steel industry,where real-time monitoring is crucial for achieving high molten iron quality(MIQ)with low energy consumption.While neural network-based models show some promising results,they are generally limited by non-negligible drawbacks such as interpretability issues of feature learning.To address these issues,we propose a novel concept based on the shallow-to-deep correlation network representation regression(Sh-to-De CNRR).Our approach,shallow correlation network representation regression(ShCNRR),combines neural network and canonical correlation analysis thoughts to generate explainable features via shallow correlation network representation(CNR).A twin inverse network is then derived to obtain the explicit model output,leveraging the shallow CNR.To capture deeper nonlinear information,we extend ShCNRR into a hierarchical deep correlation network representation regression(DeCNRR)model that features stacked neural networks,enabling us to learn deeper CNR from process data.The feasibility and advantages of our proposals are validated by theoretical derivations and practical IP cases,which contain one MIQ regression and three MIQ-related fault detection tasks.The results reveal that highly fused statistical and neural network models yield superior monitoring performance compared to current state-of-the-art models,while statistical tests verify the convincing feature mining. 展开更多
关键词 Canonical correlation analysis(CCA) ironmaking process(IP) molten iron quality(MIQ) neural network(NN) process monitoring
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Taming nuclear mass models with Gaussian processes 认领 引用
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作者 Wen‑Jia Huang Keisuke Fujii Hao‑Zhao Liang 《Nuclear Science and Techniques》 SCIE EI CAS CSCD 2026年第8期233-242,共10页
We propose a new set of nuclear mass predictions based on multiple theoretical mass models.By employing Gaussian process regression with the Matern kernel,we achieved root-mean-square(rms)deviations below 100 keV for ... We propose a new set of nuclear mass predictions based on multiple theoretical mass models.By employing Gaussian process regression with the Matern kernel,we achieved root-mean-square(rms)deviations below 100 keV for the training dataset.The best-performing mass models achieved rms deviations below 150 keV for the new precise mass data from AME2020,whereas the ensemble average showed robust performance across the nuclear chart.Our approach uniquely combines:(1)systematic refinement of eight mass models through their residuals,(2)physics-informed features,including magic numbers,nucleon parity numbers,neutron excess,and nuclear collectivity,and(3)theory-to-theory validation demonstrating robust extrapolation capability.We find that the Matern kernel provides superior uncertainty quantification compared to the RBF kernel,with a length-scale analysis revealing enhanced inter-nuclei correlations.We provide complete mass predictions for all unknown nuclides in AME2020,offering valuable constraints for nuclear structure studies and astrophysical modeling when used with proper uncertainty propagation. 展开更多
关键词 Gaussian processes Mass models Predictive power r-process
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Neurodegenerative processes of aging: A perspective of restoration through insulin-like growth factor-1 认领 引用
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作者 Rosana Crespo Claudia Herenu 《Neural Regeneration Research》 SCIE CAS CSCD 2026年第4期1562-1563,共2页
The aging process is an inexorable fact throughout our lives and is considered a major factor in develo ping neurological dysfunctions associated with cognitive,emotional,and motor impairments.Aging-associated neurode... The aging process is an inexorable fact throughout our lives and is considered a major factor in develo ping neurological dysfunctions associated with cognitive,emotional,and motor impairments.Aging-associated neurodegenerative diseases are characterized by the progressive loss of neuronal structure and function. 展开更多
关键词 neurodegenerative diseases neurodegenerative processes cognitive impairments progressive loss neuronal structure function develo ping neurological dysfunctions insulin growth factor restoration aging process
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Multi-pass intermittent local loading process of large-scale rib-web component:Forming characteristics and implementing apparatus 认领 引用 被引量：3
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作者 Dawei ZHANG Peng DONG +2 位作者 Jingxiang LI Zijian YU Shengdun ZHAO 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2026年第1期601-625,共25页
The multi-pass intermittent local loading process,which features a more flexible processing path,can further enhance the second material distribution during local loading,improve the formability of components,and redu... The multi-pass intermittent local loading process,which features a more flexible processing path,can further enhance the second material distribution during local loading,improve the formability of components,and reduce forming loads.However,the absence of compatible forming equipment makes it difficult to control the constraint in the unloaded zones during the forming process.This difficulty complicates coordination and control of deformation,particularly for asymmetric rib-web components.Additionally,the current implementation involves multi-fire heating,a long process flow,and high energy consumption,which limits the popularization and application of the local loading process.In this study,a new multi-pass local loading hydraulic forming apparatus that can quickly and reliably switch between heavy-load deformation and low-load constraint for different local loading sub-dies was developed.A 10-tonne laboratory prototype was developed,and the forming characteristics during the forming process as well as the response characteristics of the hydraulic system during the multi-pass intermittent local loading of rib-web component were investigated using numerical simulations and physical experiments.Results indicated that,compared to a whole loading process with the same initial geometry of billet,the total forming load(i.e.,the sum of loaded and restrained loads)is reduced by more than 40%with the local loading process,and by nearly 50%with multi-pass local loading.The multi-pass local loading process allows for more effective control of material flow compared to single-pass local loading,leading to improved cavity filling and reduced flow line disturbance.For a large-scale,complex titanium alloy bulkhead,the cavity filling problem was addressed by optimizing the multi-pass local loading path with an unequal thickness billet.The dynamic performance of the multi-pass local loading hydraulic system was found to be robust,with stable pressure transitions during motion and load switching for the sub-die(s).The dynamic characteristic of the hydraulic cylinder when switching from non-moving/unloaded state to a moving/loading state are consistent whether a load is present or not.However,the dynamic characteristics differ when switching from a moving/loading state to non-moving/unloaded state,showing opposite behavior.The developed hydraulic drive mechanism provides a way for implementation of multi-pass local loading without auxiliary operation and extra heating.The results of the study provide a foundation for the industrial production of large-scale,complex components with reduced force requirement and low-energy consumption. 展开更多
关键词 Forming characteristics Hydraulic system Intermittent local loading process Material flow Rib-web component
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Research Progress on Drying Technology and Process for GranularAgricultural Products 认领 引用 被引量：2
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作者 CHEN pengxiao XING Yanjia +3 位作者 WANG Xiaowan WANG Yankun ZHU Wenxue WEN Yunshou 《现代食品科技》 CAS 北大核心 2026年第6期416-431,共16页
Granular agricultural products constitute a staple food source for over 70%global population,are recognized as a core component within the food processing chain,and are accorded significant economic importance in inte... Granular agricultural products constitute a staple food source for over 70%global population,are recognized as a core component within the food processing chain,and are accorded significant economic importance in international trade.Inadequate desiccation during harvest seasons is associated with the facilitation of mold proliferation,induction of germination processes,and acceleration of product deterioration.These outcomes are manifested through compromised food security and incurred economic losses.Nevertheless,the porous structural characteristics inherent to granular crops,combined with the stress fission challenges encountered during dehydration processes,render alternative methods such as solarization and hot air drying frequently inadequate for meeting crop-specific drying requirements.In this study,the implementation and relative merits of microwave and infrared drying technologies for granular crops have been systematically examined.Subsequently,the enhanced drying efficiency and quality parameters achieved through microwave-hot air,infrared-hot air,and infrared-microwave hybrid drying systems are quantitatively demonstrated in comparison with conventional single-mode drying approaches.A comprehensive synthesis is presented regarding experimental findings and research priorities associated with microwave-vacuum,far-infrared vacuum,and fluidized bed drying applications.The developmental potential of emerging desiccation technologies-including radio frequency,ohmic,and heat pump-based systems-was critically evaluated through the comparative analysis of dehydration kinetics,energy efficiency metrics,and product quality indices.A theoretical framework was established for optimizing the novel drying equipment and operational parameters.This systematic investigation contributes substantively to the realization of energy-efficient,low-carbon,and quality-preserving drying objectives,thereby providing crucial technical support for global food security initiatives and sustainable agricultural practices. 展开更多
关键词 grain drying drying technology drying process quality energy consumption
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Statistical and experimental study of effects of process parameters on Ti-6Al-4V coaxial wire-feed laser cladding 认领 引用 被引量：2
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作者 Fan Liu Shaoshan Ji +2 位作者 Tuo Shi Shihong Shi Geyan Fu 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2026年第1期31-42,共12页
Three-beam wire-feed laser cladding,which generates a uniform energy distribution with a wire vertically fed into the molten pool,is a promising additive manufacturing technology.In this study,an experimental investig... Three-beam wire-feed laser cladding,which generates a uniform energy distribution with a wire vertically fed into the molten pool,is a promising additive manufacturing technology.In this study,an experimental investigation and a statistical analysis of Ti-6Al-4V wire cladding using three-beam laser coaxial wire-feed cladding technology coupled with a 2 kW continuous fiber laser were carried out.The influences of the main parameters,including the laser power,wire feeding speed,and laser scanning speed,on the cladding geometry and process were investigated.The prediction models correlating the process parameters and clad geometry were developed via the response surface methodology(RSM).The models were checked using analysis of variance(ANOVA).Through optimization,the optimal parameters were achieved for the required clad with a width-to-height ratio of 5:1.A high-speed camera was used to investigate the cladding process under various process parameters.The laser power positively affected the widths of the molten pool and cladding layer.The molten pool and clad heights decreased with increases in laser power and scanning speed.Fine acicular martensite grains in the colony and basket-weave distributions were predominant in the cross-section of the cladding layer.The macrostructure investigation showed that the widths of columnar prior-β grains decreased with the increase in laser scanning speed. 展开更多
关键词 Wire-feed laser cladding Geometry characteristics Ti-6Al-4V Cladding process Regression analysis Macrostructure and microstructure
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Process analysis of the impacts of ship emissions on PM2.5and O3in the Yangtze River Delta,China 认领 引用 被引量：1
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作者 Xinyi Fu Xiaotong Wang +3 位作者 Dongsheng Chen Jianlei Lang Ying Zhou Xiurui Guo 《Journal of Environmental Sciences》 SCIE EI CAS CSCD 2026年第3期372-383,共12页
Ship emissions significantly impact coastal air quality,with the Yangtze River Delta(YRD)region accounting for approximately 50%of China's total shipping emissions.Using the Community Multiscale Air Quality(CMAQ)m... Ship emissions significantly impact coastal air quality,with the Yangtze River Delta(YRD)region accounting for approximately 50%of China's total shipping emissions.Using the Community Multiscale Air Quality(CMAQ)model and process analysis(PA)tool,we quantitatively assessed how atmospheric processes(emissions,chemical reactions,transport,and deposition)contribute to PM2.5and O3,and the chemical pathways of O3formation due to ship emissions.Ship emissions significantly enhanced PM2.5concentrations(>5μg/m3)in the coastal areas of Jiangsu province and offshore regions,with diminishing inland effects.Ship-induced NO3-showed greater inland penetration compared to SO42-,which remained near the coast.In coastal cities,aerosol processes,rather than primary emissions,dominated PM2.5formation,highlighting the importance of secondary formation.O3responses varied spatially,showing coastal titration zones but inland enhancements.Process analysis revealed that vertical transport dominated O3distribution in coastal regions(5-10 ppb),whereas chemical processes showed strong negative contributions(below-10 ppb)along shipping routes.The impact exhibited pronounced diurnal variations,peaking during afternoon hours(14:00-17:00 local standard time(LST),up to 10 ppb/h)with morning titration effects(up to-7.5 ppb/h at 08:00 LST).The vertical profile analysis of shipping-related O3showed surface-level O3titration from ship NOxemissions,with impacts extending to higher layers through vertical mixing.Integrated reaction rate analysis revealed that effective O3control in shipping-influenced regions requires coordinated reduction of both NOxand VOCs.These findings provide insights for developing targeted control strategies,particularly for addressing the complex NOx-O3chemistry and secondary PM2.5formation. 展开更多
关键词 Ship emissions Process analysis PM(2.5) O3 Yangtze River Delta
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Atomic-scale ultrafast laser processing of nanocrystal with plasmonic modulation for machine learning combined flexible sensor devices 认领 引用 被引量：1
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作者 Ma Luo Jiaqun Li +6 位作者 Jiawang Xie Haoze Han Jianfeng Yan Yuzhi Zhao Yaoyao Li Huhu Cheng Liangti Qu 《International Journal of Extreme Manufacturing》 SCIE EI CAS CSCD 2026年第2期620-638,共19页
Nanometallic materials have attracted wide research attention in the fabrication of functional devices,including flexible electronics circuits and high-sensitive sensors.Sintering of nanometallic materials is generall... Nanometallic materials have attracted wide research attention in the fabrication of functional devices,including flexible electronics circuits and high-sensitive sensors.Sintering of nanometallic materials is generally thought as an effective technology for the functional manufacturing,and the controllable sintering of nanometallic materials and its major mechanisms have long been a challenge.Here,an ultrafast laser processing strategy for Ag nanoparticles(NPs)is achieved by modulating plasmonic.The excitation mode of plasmon can be designed by laser parameters,including polarization with a specific crystal size.The atomic-scale ultrafast dynamics are revealed for understanding the sintering process and design of the sintered structures.The non-equilibrium energy transfer between electron and lattice and dynamic evolution of pressure are proved to be the foremost driving forces on the motion of atomic structures.Through research of plasmonic-induced electric field enhancement and non-uniform deposition of heat and in-situ observation of relative transmittance,mapping from atomic-scale structure to micro behavior is established.Based on plasmonic modulation and processing of Ag NPs,a machine learning combined flexible gesture sensor with high recognition accuracy is displayed.This work expands the knowledge of interactions between lasers and nanometallic materials and provides a method for designing functional devices for a wide range of applications. 展开更多
关键词 ultrafast laser fabrication plasmonic modulation atomic scale processing flexible devices
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A peridynamics modeling approach for pre-cracked rock cracking processes under impact by integrating Drucker-Prager plasticity model and efficient contact model 认领 引用 被引量：2
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作者 Jingzhi Tu Nengxiong Xu Gang Mei 《Journal of Rock Mechanics and Geotechnical Engineering》 SCIE CSCD 2026年第1期179-195,共17页
In rock engineering,natural cracks in rock masses subjected to external loads tend to initiate and propagate,leading to potential safety hazards.To investigate the effect of cracking behavior on the mechanical propert... In rock engineering,natural cracks in rock masses subjected to external loads tend to initiate and propagate,leading to potential safety hazards.To investigate the effect of cracking behavior on the mechanical properties of rocks,the cracking processes of pre-cracked rocks have been extensively studied using numerical modeling methods.The peridynamics(PD)exhibits advantages over other numerical methods due to the absence of the requirements for remeshing and external crack growth criterion.However,for modeling pre-cracked rock cracking processes under impact,current PD implementations lack generally applicable rock constitutive models and impact contact models,which leads to difficulties in determining rock material parameters and efficiently calculating impact loads.This paper proposes a non-ordinary state-based peridynamics(NOSBPD)modeling method integrating the Drucker-Prager(DP)plasticity model and an efficient contact model to address the above problems.In the proposed method,the Drucker-Prager plasticity model is integrated into the NOSBPD,thereby equipping NOSBPD with the capability to accurately characterize the nonlinear stress-strain relationship inherent in rocks.An efficient contact model between particles and meshes is designed to calculate the impact loads,which is essentially a coupling method of PD with the finite element method(FEM).The effectiveness of the proposed NOSBPD modeling method is verified by comparison with other numerical methods and experiments.Experimental results indicate that the proposed method can effectively and accurately predict the 3D cracking processes of pre-cracked cracks under impact loading,and the maximum principal stress is the key driver behind wing crack formation in pre-cracked rocks. 展开更多
关键词 Pre-cracked rocks Cracking processes Non-ordinary state-based peridynamics (NOSBPD) Drucker-Prager plasticity model Efficient contact model
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2.5D process path planning for multi-genus shapes based on combining of topological and geometric properties of medial axis transformation 认领 引用 被引量：1
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作者 Xin JIANG Wenjie ZHAO +3 位作者 Cheng SU Guanying HUO Shirong LI Zhiming ZHENG 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2026年第4期640-653,共14页
The 2.5D process is widely utilized in modern industries,with multi-genus cross-sections increasingly encountered in both additive and subtractive manufacturing.Tool paths for multigenus shapes often suffer from disco... The 2.5D process is widely utilized in modern industries,with multi-genus cross-sections increasingly encountered in both additive and subtractive manufacturing.Tool paths for multigenus shapes often suffer from discontinuities that lead to frequent tool liftings,and selfintersections in offset paths,adversely affecting machining accuracy and efficiency.In this context,path topology,stepover uniformity,and degeneration of offset paths represent three fundamental concerns that must be considered in an integrated manner in 2.5D path planning for multi-genus shapes.This study proposes a tool path planning method based on combining of topological and geometric characteristics of medial axis transformation for the shape with multi-genus.A region segmentation strategy tailored to multi-genus shapes is first introduced to prevent global selfintersections in equidistant offset paths.Subsequently,the graph structure of the segmented shape is extracted,and the minimization of tool liftings is formulated as a minimum path cover problem in an undirected graph.A Fermat-spiral-like path topology is adopted within sub-regions to preserve the connectivity of graph and ensure smooth transitions between successive layers of contourparallel paths.Numerical and physical experiment results confirm the proposed method's effectiveness in maintaining stepover uniformity,avoiding degeneration of global self-intersections,and ensuring path connectivity. 展开更多
关键词 2.5D process Medial axis transformation Multi-genus shape Topological segmentation Tool path planning
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Microseismic signal processing and rockburst disaster identification:A multi-task deep learning and machine learning approach 认领 引用 被引量：1
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作者 Chunchi Ma Weihao Xu +3 位作者 Xuefeng Ran Tianbin Li Hang Zhang Dongwei Xing 《Journal of Rock Mechanics and Geotechnical Engineering》 SCIE CSCD 2026年第1期441-456,共16页
Underground engineering projects such as deep tunnel excavation often encounter rockburst disasters accompanied by numerous microseismic events.Rapid interpretation of microseismic signals is crucial for the timely id... Underground engineering projects such as deep tunnel excavation often encounter rockburst disasters accompanied by numerous microseismic events.Rapid interpretation of microseismic signals is crucial for the timely identification of rockbursts.However,conventional processing encompasses multi-step workflows,including classification,denoising,picking,locating,and computational analysis,coupled with manual intervention,which collectively compromise the reliability of early warnings.To address these challenges,this study innovatively proposes the“microseismic stethoscope"-a multi-task machine learning and deep learning model designed for the automated processing of massive microseismic signals.This model efficiently extracts three key parameters that are necessary for recognizing rockburst disasters:rupture location,microseismic energy,and moment magnitude.Specifically,the model extracts raw waveform features from three dedicated sub-networks:a classifier for source zone classification,and two regressors for microseismic energy and moment magnitude estimation.This model demonstrates superior efficiency compared to traditional processing and semi-automated processing,reducing per-event processing time from 0.71 s to 0.49 s to merely 0.036 s.It concurrently achieves 98%accuracy in source zone classification,with microseismic energy and moment magnitude estimation errors of 0.13 and 0.05,respectively.This model has been well applied and validated in the Daxiagu Tunnel case in Sichuan,China.The application results indicate that the model is as accurate as traditional methods in determining source parameters,and thus can be used to identify potential geomechanical processes of rockburst disasters.By enhancing the signal processing reliability of microseismic events,the proposed model in this study presents a significant advancement in the identification of rockburst disasters. 展开更多
关键词 Underground engineering Microseismic signal processing Deep learning Multi-task Rockburst identification
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Seasonal contrasts in recent Arctic warming processes: surface air temperature versus surface temperature 认领 引用 被引量：1
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作者 CAI Ziyi WU Fangying +3 位作者 OUYANG Huiling YOU Qinglong Sergey K.GULEV Seok-Woo SON 《Advances in Polar Science》 CSCD 2026年第2期182-199,共18页
Arctic warming has been widely documented, yet the relative contributions of processes controlling surface air temperature(SAT) and surface temperature(ST) warming remain insufficiently quantified, particularly betwee... Arctic warming has been widely documented, yet the relative contributions of processes controlling surface air temperature(SAT) and surface temperature(ST) warming remain insufficiently quantified, particularly between warm and cold seasons. Here, we use multiple reanalysis datasets to quantify Arctic SAT and ST warming from 1979 to 2021 through thermodynamic and surface energy budget analyses, with a focus on the seasonal contrast between warm season and cold season. We show that SAT warming in both seasons is primarily linked to an increase in the diabatic heating residual associated with surface warming, whereas cold season SAT warming is additionally enhanced by strengthened warm advection, which accounts for 33% of the total SAT increase. ST warming exhibits a stronger seasonal contrast. In the warm season, ST warming is driven jointly by enhanced downward longwave radiation, mainly associated with increased atmospheric water vapor, and sea ice albedo feedback, contributing 27% and 33% of the ST increase, respectively. In the cold season, ST warming is dominated by enhanced downward longwave radiation, with atmospheric water vapor, mid-level cloud cover, and a residual term mainly related to external greenhouse gas forcing contributing 36%, 16%, and 10%, respectively. The Arctic Ocean further modulates this seasonality by absorbing heat in the warm season and releasing it in the cold season, contributing 21% to cold season ST warming and providing an additional heat source for the lower atmosphere. These results demonstrate that recent Arctic warming cannot be interpreted from SAT or ST alone, but reflects seasonally distinct coupling among atmospheric heat transport, radiative feedbacks, sea ice loss, and ocean heat storage and release. 展开更多
关键词 Arctic warming process quantitative contribution surface energy budget
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A hierarchical and role-driven digital twin system with applications to complex chemical process operation 认领 引用
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作者 Xinyu Tao Runjie Yao +3 位作者 Lingyu Zhu Changrui Xie Muqian Zhang Xi Chen 《Chinese Journal of Chemical Engineering》 SCIE EI CAS CSCD 2026年第1期302-313,共12页
Digital twin technology brings more opportunities and challenges to chemical engineering in both academic and industry.A complex process could have multiple digitalization needs,including simulation,monitoring,operato... Digital twin technology brings more opportunities and challenges to chemical engineering in both academic and industry.A complex process could have multiple digitalization needs,including simulation,monitoring,operator training,etc.;thus,a hierarchical digital twin would be a comprehensive solution to that.In this study,a novel and general framework of the digital twin is proposed for operations in process industry.With the hierarchical structure,the framework can handle various tasks driven by different roles in process industry,including managers,engineers,and operators.To complete these tasks,the framework consists of three modules:OAS(Operation Analysis System),OMS(Operation Monitoring System),and OTS(Operator Training System).Each module focuses on one unique type of demand from the staff,as well as interactions among them enabling efficient data sharing.Based on the hierarchical framework,a digital twin system is applied for one complex industrial nitration process,which successfully enhances the operation efficiency and safety in several industrial scenarios with different demands. 展开更多
关键词 Digital twin Hierarchical framework Role-driven Process operation Process modeling&optimization Operator training system
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Safety evaluation of rectisol process based on quantitative hazard and operability analysis 认领 引用
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作者 Haiyan Zhang Peirui Li +6 位作者 Zhonglin Zhang Xiaogang Hao Yuan Zhou Xiaolu Wu Jingxuan Yang Abuliti Abudulad Guoqing Guan 《Chinese Journal of Chemical Engineering》 SCIE EI CAS CSCD 2026年第2期33-44,共12页
In order to break through the limitations of the traditional hazard and operability(HAZOP)analysis,this study established a gray evaluation model based on gray theory for the riskiness ranking of deviations and semi-q... In order to break through the limitations of the traditional hazard and operability(HAZOP)analysis,this study established a gray evaluation model based on gray theory for the riskiness ranking of deviations and semi-quantitative analysis of risk levels.A quantitative HAZOP analysis combining HAZOP with Aspen Plus,Aspen Dynamics,Fault Tree Analysis(FTA),Risk Matrix and Layer of Protection Analysis(LOPA)was performed for high risk deviations.The dynamic model of the methanol washing unit in the rectisol process was established by Aspen Dynamics and the effects of different deviations on the risk indicators and operability indicators were investigated.Then,the risk of deviations was ranked according to the simulation results and the high-risk deviations were identified.Subsequently,the sensitivity analysis module of Aspen Plus software was used to calculate the fluctuationrange of highrisk deviations,whose results were imported into Aspen Dynamics to simulate and analyze the risk level of accidents,and then FTA was used to quantify the probability of accidents.Synchronizing the two to the risk matrix determined the deviations to have initial risk ratings of 10 and 15,both of which are high-risk deviations.The HAZOP quantitative analysis report is finalizedafter reducing the residual risk level of the deviation to 9(low risk)through LOPA analysis.The results of the case study showed that the method can verify the accuracy of the gray evaluation model to a certain extent,and the quantitative HAZOP analysis report is of guiding significancefor actual production. 展开更多
关键词 Quantitative HAZOP analysis Rectisol process Gray evaluation model Aspen Plus Dynamic process simulation Deviation riskiness ranking
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Fenton-like catalysis of single-atom Co-N4 for polymeric transformation and recovery of benzohydroxamic acid in mineral processing wastewater 认领 引用
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作者 Wensheng Li Zhiqiang Sun +5 位作者 Yidi Chen Xiaoguang Duan Chuling Guo Zhi Dang Shih-Hsin Ho Shishu Zhu 《Chinese Chemical Letters》 SCIE CAS CSCD 2026年第5期580-586,共7页
Benzohydroxamic acid(BHA)occurs as recalcitrant organic pollutant discharged from mining industry.While Fenton-like oxidation based on peroxymonosulfate(PMS)has been extensively applied for organic contamination mitig... Benzohydroxamic acid(BHA)occurs as recalcitrant organic pollutant discharged from mining industry.While Fenton-like oxidation based on peroxymonosulfate(PMS)has been extensively applied for organic contamination mitigation,its conventional reaction pathway dependent on free radicals needs high energy input with elevated carbon emission.Here,we meticulously developed a novel single-atom catalyst featuring Co-N4coordination(Cox@NC)to initiate a non-radical Fenton-like oxidation for BHA treatment.Results showed single-atom Co-N4with the considerable Co content(>2 wt%)and quantitative N coordination displayed exceptional reactivity to activate PMS for BHA degradation with a turnover frequency>16 min-1.Such single-atom Co-N4formed a surface-reactive complexes with mild oxidation potential by coordinating with PMS to mediate electron transfer for oxidation of BHA.The mediated ETP further triggered polymerization transformation pathway of BHA through formation and coupling of phenoxylike radicals,resulting in a considerable recovery yield of BHA polymers(~43%)and superior utilization efficiency of PMS(~434%).Combined with ultrahigh-resolution mass analysis,the identified polymerized products illustrated the related polymerization mechanisms of BHA including hydroxylation,monomer radical generation,dimerization,and chain extension.Such Fenton-like catalysis of single-atom Co-N4exhibited more remarkable application potentials in mineral processing wastewater treatment compared to traditional Fenton reaction,reducing oxidant consumption and increasing organic carbon recovery.This study enhances development of resource-efficient Fenton-like oxidation technologies for mineral processing wastewater treatment. 展开更多
关键词 Fenton-like oxidation Single atom catalyst Mineral processing wastewater Electron transfer process Polymerization
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Sample-optimized adaptive perceptual enhanced graph neural network based fault identificationin industrial processes 认领 引用
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作者 Keyu Yao Hongbo Shi +1 位作者 Bing Song Yang Tao 《Chinese Journal of Chemical Engineering》 SCIE EI CAS CSCD 2026年第2期181-195,共15页
With the complexity and intelligence of the industrial process,the identificationof faults in the actual process plays a crucial role in ensuring production safety.The traditional fault identificationstrategies have t... With the complexity and intelligence of the industrial process,the identificationof faults in the actual process plays a crucial role in ensuring production safety.The traditional fault identificationstrategies have the problem that similar characterized faults are unable to be accurately identified.Motivated by the limitations,a novel sample-optimized adaptive perceptual enhanced graph neural network(SOAPEGNN)for large-scale process fault identificationis proposed.Initially,process mechanism knowledge and process data correlation are injected into the modeling approach through graph neural networks,and the transmission of information based on the enhanced attention mechanism is introduced to describe the quantitative relationships between process variables at a fine-grainedlevel based on the adaptive perception strategy.Subsequently,to achieve better intra-class compactness and inter-class separability in feature representation,our designed sample-optimized feature processing strategy(SOFPS)is applied.Furthermore,to enhance the robustness and generalization capability of the model during training,a label smoothing regularization(LSR)strategy is incorporated.This approach effectively mitigates the risk of overfittingby introducing a degree of uncertainty into the label space,thereby encouraging the model to learn more discriminative and stable features.Ultimately,the efficacy and superiority of the SOAP-EGNN algorithm are thoroughly validated through comprehensive simulation experiments conducted on the Tennessee Eastman process(TEP). 展开更多
关键词 Adaptive perception Deep learning Enhanced attention mechanism Fault diagnosis Sample-optimized feature processing strategy Chemical process
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Magnetic hardening strategy for high-performance Sm(CoFeCuZr)zsintered permanent magnets prepared by dual-alloy process 认领 引用
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作者 Jian-jun YANG Dong-tao ZHANG +4 位作者 Yu-qing LI Zan LONG Cheng-zhen MENG Wei-qiang LIU Ming YUE 《Transactions of Nonferrous Metals Society of China》 SCIE EI CAS CSCD 2026年第3期917-928,共12页
To improve the overall magnetic properties of Sm(CoFeCuZr)zsintered magnets,a dual-alloy sintering process that involves mixing high-iron,low-copper powders with low-iron,high-copper powders was systematically inve... To improve the overall magnetic properties of Sm(CoFeCuZr)zsintered magnets,a dual-alloy sintering process that involves mixing high-iron,low-copper powders with low-iron,high-copper powders was systematically investigated.The results demonstrate that this method significantly improves the Cu-lean phenomenon at the grain boundaries,achieves multiscale uniform microstructures,greatly enhances the pinning field strength,and ultimately produces a high-performance dual-alloy magnet with a maximum energy product((BH)max)exceeding 240 kJ/m3and an intrinsic coercivity(Hcj)exceeding 2400 kA/m.In particular,when 35 wt.%of low-iron,high-copper alloy powder is incorporated,the dual-alloy magnet achieves a remanence of 1.13 T,Hcjof 2691.2 kA/m and(BH)maxof 248 kJ/m3.To evaluate the overall magnetic performance,the sum of Hcj(in kA/m)and(BH)max(in kJ/m3)is used as a combined parameter,yielding a value of 2939.2.Compared with single-alloy magnets of the same composition,the dual-alloy sintering process yields magnets with a more uniform elemental distribution and superior magnetic properties. 展开更多
关键词 Sm(CoFeCuZr)zmagnets dual-alloy sintering process magnetic properties coercivity mechanism magnetisation reversal process
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