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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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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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Quality or Quantity?Error-Informed Selective Online Learning With Gaussian Processes in Multi-Agent Systems 认领 引用 被引量：1
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作者 Zewen Yang Xiaobing Dai +2 位作者 Jiajun Cheng Yulong Huang Peng Shi 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2026年第6期1325-1338,共14页
Effective cooperation is pivotal in distributed learning for multi-agent systems,where the interplay between the quantity and quality of the machine learning models is crucial.This paper reveals the irrationality of i... Effective cooperation is pivotal in distributed learning for multi-agent systems,where the interplay between the quantity and quality of the machine learning models is crucial.This paper reveals the irrationality of indiscriminate inclusion of all models on agents for joint prediction,highlighting the imperative to prioritize quality over quantity in cooperative learning.Specifically,we present the first selective online learning framework for distributed Gaussian process(GP)regression,namely distributed error-informed GP(EIGP),that enables each agent to assess its neighboring collaborators,using the proposed selection function to choose the higher quality GP models with less prediction errors.Moreover,algorithmic enhancements are embedded within the EIGP,including a greedy algorithm(gEIGP)for accelerating prediction and an adaptive algorithm(aEIGP)for improving prediction accuracy.In addition,approaches for fast prediction and model update are introduced in conjunction with the error-informed quantification term iteration and a data deletion strategy to achieve real-time learning operations.Numerical simulations are performed to demonstrate the effectiveness of the developed methodology,showcasing its superiority over the stateof-the-art distributed GP methods with different benchmarks. 展开更多
关键词 Adaptive algorithm cooperative learning distributed learning Gaussian process regression greedy algorithm multi-agent system
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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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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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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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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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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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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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Atrazine degradation in a rotating packed bed reactor integrated with plasma:Process evaluation and optimization strategy 认领 引用
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作者 Hanzhuo Xu Tao Ding +3 位作者 Chuang Liang Yanbin Li Guangwen Chu Jianfeng Chen 《Chinese Journal of Chemical Engineering》 SCIE EI CAS CSCD 2026年第6期36-43,共8页
Atrazine(ATZ)is a highly applicable neurogenic herbicide in crops.Due to its triazine structure,ATZ is durable in nature and difficult to degrade,posing serious environmental and health threats.In this work,a rotating... Atrazine(ATZ)is a highly applicable neurogenic herbicide in crops.Due to its triazine structure,ATZ is durable in nature and difficult to degrade,posing serious environmental and health threats.In this work,a rotating packed bed reactor integrated with plasma(plasma-RPB)was employed to degrade ATZ.The effects of operating conditions and typical water matrix components were systematically evaluated.Results demonstrated that increasing rotational speed and discharge power enhanced degradation efficiency,while higher initial ATZ concentrations inhibited removal.Among common water matrix species,SO42- and Cl- exhibited inhibitory effects,Cu2+ significantly suppressed degradation,whereas CO32- showed little impact.Ultra performance liquid chromatography—mass spectrometry analysis revealed that ATZ was mainly degraded via dealkylation and hydroxyl substitution,producing cyanuric acid and eventually undergoing ring opening.To enhance process robustness against inhibitory water matrices,peroxymonosulfate(PMS)integration was investigated as an intensification strategy.Utilizing the multiple activation pathways in the plasma environment,PMS was effectively activated to generate additional sulfate radicals.Under optimized conditions,degradation efficiency and total organic carbon removal of actual industrial wastewater reached99%and 90%within 20 min,respectively.This study highlights plasma-RPB,particularly when synergized with PMS,as a promising technology for pesticide wastewater treatment. 展开更多
关键词 Atrazine degradation Degradation pathway Advanced oxidation process Plasma rotating packed bed Process intensification
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A Novel Phase-Aware Neural Network Framework for Fault Detection in Multiphase Processes via Feature Augmentation and Phase Discrimination 认领 引用
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作者 Yimeng He Zidong Wang +3 位作者 Weibo Liu Jingzhong Fang Linwei Chen Zhihuan Song 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2026年第4期864-876,共13页
The dynamic nature of multiphase processes presents significant challenges to industrial fault detection.Most existing fault detection methods for multiphase processes,which have been developed to focus on creating a ... The dynamic nature of multiphase processes presents significant challenges to industrial fault detection.Most existing fault detection methods for multiphase processes,which have been developed to focus on creating a local fault detector for each phase,are hindered by two key challenges.Firstly,accurately matching test samples to their respective phases proves difficult,which leads to what is known as the phase matching problem.Secondly,constructing a reliable fault detector becomes challenging when limited data is available for specific phases.To overcome these challenges,a novel phase-aware neural network(PANN)is proposed in this paper for multiphase fault detection.The PANN is composed of a feature augmentation module,an encoder,a phase discriminator,and a decoder.Multiscale convolutional neural networks are employed to construct the feature augmentation module,which is used to extract multiscale features from the input data.The pseudo labels,which capture knowledge of the multiphase process,are used during the training of the phase discriminator to address the phase matching issue.A joint loss function is designed to train the entire PANN by integrating the loss terms for phase discrimination and future sample prediction.Validation of the proposed PANN is carried out using a numerical example.To further assess its practical application,the PANN is tested on a penicillin fermentation process dataset.Experimental results demonstrate that the proposed PANN achieves higher fault detection rates compared to several popular models currently used for fault detection in multiphase processes. 展开更多
关键词 Fault detection feature augmentation multiphase process phase-aware neural network (PANN) phase discriminator process monitoring
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Revisiting starch degradability in dairy ruminants:from feed processing to gut microbiota and metabolic regulation 认领 引用
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作者 Qingyan Yin Shengru Wu +4 位作者 Xinjian Lei Jun Zhang Dangdang Wang Xinwei Li Junhu Yao 《Journal of Animal Science and Biotechnology》 SCIE CAS CSCD 2026年第4期1802-1819,共18页
Starch serves as the primary energy source for high-producing dairy ruminants,which include both dairy cows and dairy goats.Optimizing starch digestion is crucial for ensuring high milk production and maintaining anim... Starch serves as the primary energy source for high-producing dairy ruminants,which include both dairy cows and dairy goats.Optimizing starch digestion is crucial for ensuring high milk production and maintaining animal health.This narrative review summarizes and discusses recent findings concerning the degradability of starch in these species.Dietary starch is classified into three distinct types based on the basis of its degradation characteristics:rumen degradable starch(RDS),which ferments in the rumen;rumen escape starch(RES),which is subsequently digested in the small intestine;and resistant starch(RS),which resists complete digestion and enters the large intestine.This review systematically links feed processing methods,which directly influence starch structure,to their subsequent effects on the gut microbiota composition and host metabolic regulation.Three key insights emerge from this synthesis of literature.First,processing techniques such as steam-flaking critically alter the ratio among the three starch types,thereby shifting the effective site of digestion.Second,the optimal application of RDS differs significantly between dairy cows and dairy goats,primarily because these species exhibit distinct digestive physiologies.Nutritionists must carefully account for these species-specific differences to effectively prevent metabolic disorders.Third,the primary site of starch digestion significantly reshaped the gut microbiota profile.While a proper balance supports beneficial bacteria,excessive RS reduces energy efficiency,whereas an overload of RDS can readily lead to severe rumen acidosis.Therefore,balancing the proportions of RDS,RES,and RS is vital for helping animals effectively manage the elevated energy demands experienced during peak lactation.Future research must focus on developing precise starch management strategies tailored to the specific needs of various ruminant species. 展开更多
关键词 Degradation sites Energy efficiency Feed processing Ruminants Starch
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Laser micro-nano processing of optoelectronic materials 认领 引用
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作者 Shu-Yu Liang Run-Qiu Zhu +1 位作者 Hong Xia Yue-Feng Liu 《International Journal of Extreme Manufacturing》 SCIE EI CAS CSCD 2026年第1期311-339,共29页
Laser micro-nano processing technologies have been developed to address challenges that are otherwise difficult to solve in industrial applications and diverse scientific fields.These technologies offer designable pat... Laser micro-nano processing technologies have been developed to address challenges that are otherwise difficult to solve in industrial applications and diverse scientific fields.These technologies offer designable patterning,arraying capabilities,three-dimensional(3D)processing,and high precision.Recent advancements in laser technologies have demonstrated their effectiveness as powerful tools for micro-nano processing of optoelectronic materials.By utilizing various laser techniques—such as laser-induced polymerization,laser ablation,laser-induced transfer,laser-directed assembly,and laser-assisted crystallization—broad applications in image sensors,displays,solar cells,lasers,anti-counterfeiting,and information encryption have been enabled.This review comprehensively summarizes recent progress in the laser micro-nano processing of optoelectronic materials,including the technologies used for preparation,patterning,arraying,and modification.These laser fabrication methods uniquely provide capabilities such as annealing,phase transitions,and ion exchange in optoelectronic materials.We also discuss the perspectives and challenges for future developments,including the advantages,disadvantages,and potential applications of different laser micro-nano processing technologies.With the rapid advancements in laser micro-nanofabrication,we foresee significant growth in advanced,high-performance optoelectronic applications.This review aims to provide researchers with insights into the current state and future prospects of laser-based micro-nano processing,encouraging further exploration and innovation in this promising field. 展开更多
关键词 laser micro-nano processing optoelectronic materials high-precision integration
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Crossover of rate-limiting processes in mechanochemical reactions under flow driven by applied mechanical stress 认领 引用
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作者 Tetsuya Yamamoto Koji Kubota +2 位作者 Yu Harabuchi Julong Jiang Hajime Ito 《Chinese Physics B》 SCIE EI CAS CSCD 2026年第7期13-24,共12页
Mechanochemical organic synthesis using ball milling leverages mechanical energy to drive chemical reactions.A comprehensive understanding of the underlying reaction kinetics is essential for the continuous developmen... Mechanochemical organic synthesis using ball milling leverages mechanical energy to drive chemical reactions.A comprehensive understanding of the underlying reaction kinetics is essential for the continuous development of mechanochemical synthesis.However,the rate-limiting processes of mechanochemical reactions remain poorly understood because molecular behavior at interfacial length scales is still largely unknown.We have theoretically predicted that mechanochemical reactions of two solid reactants lead to the formation of a product-rich phase at their interface due to the instability arising from the immiscibility of product and reactant solids and that the applied mechanical stress accelerates the diffusion of reactants through the product-rich layer by decreasing the thickness of this layer.To shed light on the rate-limiting processes governing such mechanochemical reactions,we develop here a scaling theory.This theory predicts that the rate-limiting process depends on the thickness of the product-rich layer and can therefore change over time.Unlike conventional solution-based reactions,the crossover between regimes of rate-limiting processes is influenced not only by the diffusion length but also by the extent of reactant dissolution into the product-rich layer and the magnitude of the applied mechanical stress.The model developed in this study provides a fundamental framework for a deeper understanding of mechanochemical organic reactions occurring during ball milling. 展开更多
关键词 mechanochemistry rate-limiting process scaling theory ball-milling reaction kinetics
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Construction of Conflict-Free and Efficient Cross-Organization Emergency Response Processes:A Petri Net-Based Approach 认领 引用
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作者 Qi Mo Shichao Wei +3 位作者 Yuhang Zuo Chengting Jiang Fei Dai Cong Liu 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2026年第6期1492-1511,共20页
Usually,the disposal of the emergency is organized as a cross-organization emergency response process(CERP),where various resources are involved.The lack of these resources may cause resource conflicts that can delay ... Usually,the disposal of the emergency is organized as a cross-organization emergency response process(CERP),where various resources are involved.The lack of these resources may cause resource conflicts that can delay or even suspend the CERP,thereby increasing the risk imposed on life,property,and the environment.In this paper,we propose a novel approach to construct conflict-free and efficient CERPs.This approach first presents a branching place-based method to decompose a CERP into a set of execution paths.In essence,an execution path refers to a process fragment without choice structures corresponding to some kind of process instance in the CERP.In practice,each execution of the CERP can only follow such an execution path.Next,it determines whether each execution path contains resource conflicts.If not,then the execution path is considered conflict-free;otherwise,it will be resolved using a delay-based strategy.Lastly,it introduces an execution path-oriented strategy to merge all originally conflict-free and resolved execution paths to form a resolved CERP,in which each execution of it is conflict-free and efficient.The proposed approach is implemented in the tool RCTool,and a group of experiments conducted on actual CERPs demonstrates that it is more effective in constructing conflict-free and efficient CERPs compared to existing proposals,and its computation overhead is also acceptable in practice. 展开更多
关键词 Conflict-free cross-organization emergency response processes Petri net efficient construction
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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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Optimization of a self-tuning force control system for the milling process using a dynamic enhanced genetic algorithm 认领 引用
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作者 Yao Li Zhengcai Zhao +3 位作者 Ning Qian Lei Zhang Wenfeng Ding Yucan Fu 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2026年第2期33-43,共11页
When milling structural components with varying axial depths and widths,cutting forces tend to fluctuate,negatively impacting tool life and machining accuracy.To mitigate the force fluctuations and enhance tool longev... When milling structural components with varying axial depths and widths,cutting forces tend to fluctuate,negatively impacting tool life and machining accuracy.To mitigate the force fluctuations and enhance tool longevity,developing a simple,reliable,and easy-to-implement force control system for milling is essential,which is an important step toward advancing intelligent manufacturing.This paper explores the use of genetic algorithms(GA) for powerful optimization capabilities in developing self-tuning milling force controllers.A comprehensive framework for optimizing a fuzzy logic controller using an enhanced GA is specifically designed for the milling process.The optimization integrates the GA with a simulation model,fine-tuning membership functions and optimizing fuzzy rule selection.The enhanced GA incorporates the Integral of Time-weighted Absolute Error(ITAE) as the fitness criterion to improve the robustness and responsiveness of the controller.The optimized fuzzy logic controller is implemented within a computer numerical control system,adjusting feed rates in real-time to control milling forces.The performance of the proposed controller is validated through step and slope milling tests,demonstrating an average control accuracy of 95.52%.Comparative evaluations with other controllers show that the proposed system offers a significant improvement,achieving up to 4.58% better control accuracy in step milling tests. 展开更多
关键词 Optimization Self-tuning Force control system Milling process Genetic algorithm
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Microbubble-based chemical process intensification:A review 认领 引用
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作者 Lin Sheng Kai Wang +1 位作者 Jian Deng Guangsheng Luo 《Chinese Journal of Chemical Engineering》 SCIE EI CAS CSCD 2026年第3期127-140,共14页
Bubble is a widely used medium or reactant in many chemical processes,and the emerging microbubble-based process provides a feasible opportunity for efficiency enhancement.To point out the microbubble-based process in... Bubble is a widely used medium or reactant in many chemical processes,and the emerging microbubble-based process provides a feasible opportunity for efficiency enhancement.To point out the microbubble-based process intensification from the fundamental research to its industrial application,this review primarily focuses on the chemical process intensification of reaction and separation via the microbubble technology.The physicochemical properties of the microbubble are first introduced,and the progress of the preparation methods of the microbubble is also discussed.Besides,owing to the unique physicochemical properties of the microbubbles compared with the conventional bubbles,the advance of the reaction process intensification based on the physical property/chemical property/flow characteristic of microbubbles are separately discussed.In addition,the progress of the separation process intensification for the gas-liquid absorption and liquid-liquid extraction via microbubbles are introduced.Finally,to accelerate the microbubble-based chemical intensification technology application,the scaling-up of this technique is the most urgent issue to be addressed at present,and some outlooks on how to control the production and quantitative characterization of the microbubbles have also been proposed. 展开更多
关键词 Microbubble Process intensification Chemical reaction Absorption Extraction
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