A numerical model was proposed to simulate the capillary micro-flow through a fiber bundle. The capillary pressure was predicted by the Young-Laplace equation and the corresponding optimal values of permeability were ...A numerical model was proposed to simulate the capillary micro-flow through a fiber bundle. The capillary pressure was predicted by the Young-Laplace equation and the corresponding optimal values of permeability were found by a trial-and-error method. The empirical Kozeny constants which are dependent on fiber volume fraction were recormnended for the prediction of permeability.展开更多
A new method of manufacturing micro-flow channels on graphite composite bipolar plate(GCBPP) microplaning using specially designed multi-tooth tool is proposed. In this method, several or even dozens of parallel micro...A new method of manufacturing micro-flow channels on graphite composite bipolar plate(GCBPP) microplaning using specially designed multi-tooth tool is proposed. In this method, several or even dozens of parallel micro-flow channels ranging from 100 μm to 500 μm in width can be produced simultaneously. But, edge chippings easily occur on the rib surface of GCBPP during microplaning due to brittleness of graphite composites. Experimental results show that edge chippings result in the increase of contact resistance between bipolar plate and carbon paper at low compaction force. While the edge chippings scarcely exert influence on the contact resistance at high compaction force. Contrary to conventional view, the edge chippings can significantly improve performance of microfuel cell and big edge chippings outperform small edge chippings. In addition, the influence of technical parameters on edge chippings was investigated in order to obtain big, but not oversized edge chippings.展开更多
The paper is concerned with the micro-flow self-sensing actuators,the work of which is based on the secondary piezoelectric effect. The piezoelectric ceramic stack can yield micro-displacement due to its first inverse...The paper is concerned with the micro-flow self-sensing actuators,the work of which is based on the secondary piezoelectric effect. The piezoelectric ceramic stack can yield micro-displacement due to its first inverse piezoelectric effect. Therefore,we apply this micro-displacement to cell micro-flow injection. Moreover, due to the charge of the secondary direct piezoelectric effect,the piezoelectric ceramic stack is able to detect the force and displacement in the injection by itself. The experiments of first inverse piezoelectric effect and secondary direct piezoelectric effect are conducted. The experiment results show that,subjected to 0- 60 V input,the piezoelectric ceramic stack can generate 13. 45 μm displacement,and control accuracy can achieve 2 nm. It can completely meet the needs of cell micro-flow injection. Also,the experiments demonstrate that the micro-displacement due to the first inverse piezoelectric effect can be well self-sensed by the electric charge due to the secondary direct piezoelectric effect.展开更多
The drying of aqueous poly（ethylene oxide） （PEO） droplet on a substrate at different temperatures was studied. It was found that the contact line receded when the substrate was at a temperature above 60 ℃. Differ...The drying of aqueous poly（ethylene oxide） （PEO） droplet on a substrate at different temperatures was studied. It was found that the contact line receded when the substrate was at a temperature above 60 ℃. Different nucleation behavior and surface profiles of PEO films were found in different droplets drying processes. The rheological properties of aqueous PEO solutions were studied to understand the mechanism of contact line recession and micro-flow in drying aqueous PEO droplets. It was found that at low temperature, the contact line was static because of great viscous stress; while at high temperature, it receded because of great Marangoni force and the decrease of viscous stress. It was indicated that Marangoni convection was inhibited by the outward capillary flow and viscous stress at low temperature, whereas it became dominant at high temperature. Two types of mechanism for surface profiles and nucleation of PEO film from drying droplets are proposed, providing a theoretical guide for polymer solution application in oil and gas foam flooding technology.展开更多
The present work considered the capillary micro-flow through a fiber bundle.The resin heights in the fiber bundle as a function of time were used to determine the experimental values of capillary pressure and the perm...The present work considered the capillary micro-flow through a fiber bundle.The resin heights in the fiber bundle as a function of time were used to determine the experimental values of capillary pressure and the permeability by the nonlinear regression fitting method.The fitting curves showed a good agreement with experiments.However,these values of capillary pressure from short-time experiments were much lower than the theoretical results from the Yang-Laplace Equation.More accurate capillary pressure was predicted from the presented long-run experiment.展开更多
The multiscale transport mechanism of methane in unconventional reservoirs is dominated by slip and transition flows resulting from the ultra-low permeability of micro/nano-scale pores,which requires consideration of ...The multiscale transport mechanism of methane in unconventional reservoirs is dominated by slip and transition flows resulting from the ultra-low permeability of micro/nano-scale pores,which requires consideration of the microscale and rarefaction effects.Traditional continuum-based computational fluid dynamics(CFD)becomes problematic when modeling micro-gaseous flow in these multiscale pore networks because of its disadvantages in the treatment of cases with a complicated boundary.As an alternative,the lattice Boltzmann method(LBM),a special discrete form of the Boltzmann equation,has been widely applied to model the multi-scale and multi-mechanism flows in unconventional reservoirs,considering its mesoscopic nature and advantages in simulating gas flows in complex porous media.Consequently,numerous LBM models and slip boundary schemes have been proposed and reported in the literature.This study investigates the predominately reported LBM models and kinetic boundary schemes.The results of these LBM models systematically compare to existing experimental results,analytical solutions of Navier-Stokes,solutions of the Boltzmann equation,direct simulation of Monte Carlo(DSMC)and information-preservation DSMC(IP_DSMC)results,as well as the numerical results of the linearized Boltzmann equation by the discrete velocity method(DVM).The results point out the challenges and limitations of existing multiple-relaxation-times LBM models in predicting micro-gaseous flow in unconventional reservoirs.展开更多
Gas-solid fluidized beds have found extensive utilization in frontline manufacturing,in particular as low-velocity beds.The fluidization status,the bubbling or turbulent flow regime and the transition in between,deter...Gas-solid fluidized beds have found extensive utilization in frontline manufacturing,in particular as low-velocity beds.The fluidization status,the bubbling or turbulent flow regime and the transition in between,determine the system performance in practical applications.Though the convoluted hydrodynamics are quantitively evaluated through numerous data-processing methodologies,none of them alone can reflect all the critical information to identify the transition from the bubbling to the turbulent regime.Accordingly,this study was to exploit a coupling data processing methodology,in the combination of standard deviation,power spectrum density,probability density function,wavelet transform,and wavelet multiresolution method,to jointly explain the micro-flow structure at the regime transition from bubbling to turbulent fluidization.The transient differential pressure fluctuation was measured for the evaluation in a fluidized bed(0.267 m i.d.×2.5 m height)with FCC catalysts(d_(p)=65μm,ρ_(p)=1780kg/m^(3))at different superficial gas velocities(0.02–1.4 m/s).The results show that the onset of turbulent fluidization starts earlier in the top section of the bed than in the bottom section.The wavelet decomposition displays that the fluctuation of differential pressure mainly concentrates on the sub-signals with an intermediate frequency band.These sub-signals could be synthesized into three types of scales(micro-scale,meso-scale,and macro-scale),representing the multi-scale hydrodynamics in the fluidized bed.The micro-scale signal has the characteristic information of bubbling fluidization,and the characteristic information of turbulent fluidization is mainly represented by the meso-scale signal.This work provides a systematic comprehension of fluidization status assessment and serves as an impetus for more coupling analysis in this sector.展开更多
目的微表情是由个体的内在情感反应引发的面部肌肉活动,在心理诊断、医学以及刑侦测谎等领域有着广泛应用场景。现有微表情识别方法大都利用单一光流获取面部运动差异,无法有效应对光照变化或表情强度不一致等问题。为了解决上述问题,...目的微表情是由个体的内在情感反应引发的面部肌肉活动,在心理诊断、医学以及刑侦测谎等领域有着广泛应用场景。现有微表情识别方法大都利用单一光流获取面部运动差异,无法有效应对光照变化或表情强度不一致等问题。为了解决上述问题,提出一种融合多光流与KAN(Kolmogorov-Arnold network)的微表情识别方法(multiple optical flow feature fusion,MOFFFN),通过捕获多层次、多角度的面部运动差异,提高微表情识别性能。方法首先,提取3种不同的光流特征,并构造光流融合模块以捕获这些光流特征水平和垂直方向的信息;其次,构造一个新颖的特征提取模型,利用KAN与卷积注意力机制捕捉微表情的细微变化,提取更具鉴别能力的特征;最后,设计了一个高效的注意力下采样自注意力特征融合模块,能够在融合多光流特征的同时突出微表情变化的关键区域特征。结果使用主流的留一交叉验证法(leave-one-subject-out-cross-validation,LOSOCV)在公开数据集CASMEⅡ(Chinese Academy of Sciences micro-expressionⅡ)、SAMM(spontaneous actions and micro-movements)和SMIC-HS(spontaneous micro-expression corpus-high speed)以及复合数据集(composite dataset,CD)上进行验证,本文方法的未加权平均召回率(unweighted average recall,UAR)分别为91.79%、85.69%、86.56%和85.03%,未加权F1分数(unweighted F1-score,UF1)分别为92.95%、89.10%、91.78%和87.63%,性能优于主流的微表情识别方法。结论本文提出的方法通过融合多种光流特征,利用KAN和注意力机制提取更具鉴别能力和鲁棒性的特征,显著提高了微表情识别的结果。本文公开代码地址:https://github.com/useless12138/mofffn。展开更多
文摘A numerical model was proposed to simulate the capillary micro-flow through a fiber bundle. The capillary pressure was predicted by the Young-Laplace equation and the corresponding optimal values of permeability were found by a trial-and-error method. The empirical Kozeny constants which are dependent on fiber volume fraction were recormnended for the prediction of permeability.
基金Project(51075155)supported by the National Natural Science Foundation of ChinaProject(2013ZZ017)supported by the Fundamental Research Funds for the Central Universities,China
文摘A new method of manufacturing micro-flow channels on graphite composite bipolar plate(GCBPP) microplaning using specially designed multi-tooth tool is proposed. In this method, several or even dozens of parallel micro-flow channels ranging from 100 μm to 500 μm in width can be produced simultaneously. But, edge chippings easily occur on the rib surface of GCBPP during microplaning due to brittleness of graphite composites. Experimental results show that edge chippings result in the increase of contact resistance between bipolar plate and carbon paper at low compaction force. While the edge chippings scarcely exert influence on the contact resistance at high compaction force. Contrary to conventional view, the edge chippings can significantly improve performance of microfuel cell and big edge chippings outperform small edge chippings. In addition, the influence of technical parameters on edge chippings was investigated in order to obtain big, but not oversized edge chippings.
基金Sponsored by the Youths Science Foundation of Heilongjiang Province(Grant No.QC08C09)the Educational Committee Science Foundation of Heilongjiang Province(Grant No.11541272)
文摘The paper is concerned with the micro-flow self-sensing actuators,the work of which is based on the secondary piezoelectric effect. The piezoelectric ceramic stack can yield micro-displacement due to its first inverse piezoelectric effect. Therefore,we apply this micro-displacement to cell micro-flow injection. Moreover, due to the charge of the secondary direct piezoelectric effect,the piezoelectric ceramic stack is able to detect the force and displacement in the injection by itself. The experiments of first inverse piezoelectric effect and secondary direct piezoelectric effect are conducted. The experiment results show that,subjected to 0- 60 V input,the piezoelectric ceramic stack can generate 13. 45 μm displacement,and control accuracy can achieve 2 nm. It can completely meet the needs of cell micro-flow injection. Also,the experiments demonstrate that the micro-displacement due to the first inverse piezoelectric effect can be well self-sensed by the electric charge due to the secondary direct piezoelectric effect.
文摘The drying of aqueous poly（ethylene oxide） （PEO） droplet on a substrate at different temperatures was studied. It was found that the contact line receded when the substrate was at a temperature above 60 ℃. Different nucleation behavior and surface profiles of PEO films were found in different droplets drying processes. The rheological properties of aqueous PEO solutions were studied to understand the mechanism of contact line recession and micro-flow in drying aqueous PEO droplets. It was found that at low temperature, the contact line was static because of great viscous stress; while at high temperature, it receded because of great Marangoni force and the decrease of viscous stress. It was indicated that Marangoni convection was inhibited by the outward capillary flow and viscous stress at low temperature, whereas it became dominant at high temperature. Two types of mechanism for surface profiles and nucleation of PEO film from drying droplets are proposed, providing a theoretical guide for polymer solution application in oil and gas foam flooding technology.
文摘The present work considered the capillary micro-flow through a fiber bundle.The resin heights in the fiber bundle as a function of time were used to determine the experimental values of capillary pressure and the permeability by the nonlinear regression fitting method.The fitting curves showed a good agreement with experiments.However,these values of capillary pressure from short-time experiments were much lower than the theoretical results from the Yang-Laplace Equation.More accurate capillary pressure was predicted from the presented long-run experiment.
基金supported by the Strategic Program of Chinese Academy of Sciences (Grant No. XDB10030400)the Hundred Talent Program of Chinese Academy of Sciences (Grant No. Y323081C01)The National Natural Science Fund (Grant No. 51439008)
文摘The multiscale transport mechanism of methane in unconventional reservoirs is dominated by slip and transition flows resulting from the ultra-low permeability of micro/nano-scale pores,which requires consideration of the microscale and rarefaction effects.Traditional continuum-based computational fluid dynamics(CFD)becomes problematic when modeling micro-gaseous flow in these multiscale pore networks because of its disadvantages in the treatment of cases with a complicated boundary.As an alternative,the lattice Boltzmann method(LBM),a special discrete form of the Boltzmann equation,has been widely applied to model the multi-scale and multi-mechanism flows in unconventional reservoirs,considering its mesoscopic nature and advantages in simulating gas flows in complex porous media.Consequently,numerous LBM models and slip boundary schemes have been proposed and reported in the literature.This study investigates the predominately reported LBM models and kinetic boundary schemes.The results of these LBM models systematically compare to existing experimental results,analytical solutions of Navier-Stokes,solutions of the Boltzmann equation,direct simulation of Monte Carlo(DSMC)and information-preservation DSMC(IP_DSMC)results,as well as the numerical results of the linearized Boltzmann equation by the discrete velocity method(DVM).The results point out the challenges and limitations of existing multiple-relaxation-times LBM models in predicting micro-gaseous flow in unconventional reservoirs.
基金support from the China Scholarship Council Foundation,and the Science Foundation of China University of Petroleum,Beijing(grant No.2462015YQ0301)。
文摘Gas-solid fluidized beds have found extensive utilization in frontline manufacturing,in particular as low-velocity beds.The fluidization status,the bubbling or turbulent flow regime and the transition in between,determine the system performance in practical applications.Though the convoluted hydrodynamics are quantitively evaluated through numerous data-processing methodologies,none of them alone can reflect all the critical information to identify the transition from the bubbling to the turbulent regime.Accordingly,this study was to exploit a coupling data processing methodology,in the combination of standard deviation,power spectrum density,probability density function,wavelet transform,and wavelet multiresolution method,to jointly explain the micro-flow structure at the regime transition from bubbling to turbulent fluidization.The transient differential pressure fluctuation was measured for the evaluation in a fluidized bed(0.267 m i.d.×2.5 m height)with FCC catalysts(d_(p)=65μm,ρ_(p)=1780kg/m^(3))at different superficial gas velocities(0.02–1.4 m/s).The results show that the onset of turbulent fluidization starts earlier in the top section of the bed than in the bottom section.The wavelet decomposition displays that the fluctuation of differential pressure mainly concentrates on the sub-signals with an intermediate frequency band.These sub-signals could be synthesized into three types of scales(micro-scale,meso-scale,and macro-scale),representing the multi-scale hydrodynamics in the fluidized bed.The micro-scale signal has the characteristic information of bubbling fluidization,and the characteristic information of turbulent fluidization is mainly represented by the meso-scale signal.This work provides a systematic comprehension of fluidization status assessment and serves as an impetus for more coupling analysis in this sector.
文摘目的微表情是由个体的内在情感反应引发的面部肌肉活动,在心理诊断、医学以及刑侦测谎等领域有着广泛应用场景。现有微表情识别方法大都利用单一光流获取面部运动差异,无法有效应对光照变化或表情强度不一致等问题。为了解决上述问题,提出一种融合多光流与KAN(Kolmogorov-Arnold network)的微表情识别方法(multiple optical flow feature fusion,MOFFFN),通过捕获多层次、多角度的面部运动差异,提高微表情识别性能。方法首先,提取3种不同的光流特征,并构造光流融合模块以捕获这些光流特征水平和垂直方向的信息;其次,构造一个新颖的特征提取模型,利用KAN与卷积注意力机制捕捉微表情的细微变化,提取更具鉴别能力的特征;最后,设计了一个高效的注意力下采样自注意力特征融合模块,能够在融合多光流特征的同时突出微表情变化的关键区域特征。结果使用主流的留一交叉验证法(leave-one-subject-out-cross-validation,LOSOCV)在公开数据集CASMEⅡ(Chinese Academy of Sciences micro-expressionⅡ)、SAMM(spontaneous actions and micro-movements)和SMIC-HS(spontaneous micro-expression corpus-high speed)以及复合数据集(composite dataset,CD)上进行验证,本文方法的未加权平均召回率(unweighted average recall,UAR)分别为91.79%、85.69%、86.56%和85.03%,未加权F1分数(unweighted F1-score,UF1)分别为92.95%、89.10%、91.78%和87.63%,性能优于主流的微表情识别方法。结论本文提出的方法通过融合多种光流特征,利用KAN和注意力机制提取更具鉴别能力和鲁棒性的特征,显著提高了微表情识别的结果。本文公开代码地址:https://github.com/useless12138/mofffn。
