The characteristics of the simultaneous calcination/ sulfation of limestone under oxy-fuel fluidized bed combustion were studied and compared with those of the sulfation of precalcined CaO. During the calcination stag...The characteristics of the simultaneous calcination/ sulfation of limestone under oxy-fuel fluidized bed combustion were studied and compared with those of the sulfation of precalcined CaO. During the calcination stage, SO2 can react with product CaO and slow down the CaCO3 decomposition rate by the covering effect of the CaSO4 product. The sulfation rate of simultaneous calcinatiort/sulfation is slower than that of precalcined CaO, but with a long enough sulfation time, the calcium conversion of simultaneous calcination/sulfation is higher than that of the precalcined CaO. A grain-micrograin model is established to describe the simultaneous calcination, sintering and sulfation of limestone. The graln-micrograln model can reflect the true reaction process of the calcination and sulfation of limestone in oxy-fuel fluidized bed combustion.展开更多
In airborne tracking,the blind Doppler makes the target undetectable,resulting in tracking difficulties. In this paper,we studied most possible blind-Doppler cases and summed them up into two types:targets' intent...In airborne tracking,the blind Doppler makes the target undetectable,resulting in tracking difficulties. In this paper,we studied most possible blind-Doppler cases and summed them up into two types:targets' intentional tangential flying to radar and unintentional flying with large tangential speed. We proposed an interacting multiple model(IMM) particle filter which combines a constant velocity model and an acceleration model to handle maneuvering motions. We compared the IMM particle filter with a previous particle filter solution. Simulation results showed that the IMM particle filter outperforms the method in previous works in terms of tracking accuracy and continuity.展开更多
In this paper, an approach to predicting randomly-shaped particle volume based on its two- Dimensional （2-D） digital image is explored. Conversion of gray-scale image of the particles to its binary counterpart is fi...In this paper, an approach to predicting randomly-shaped particle volume based on its two- Dimensional （2-D） digital image is explored. Conversion of gray-scale image of the particles to its binary counterpart is first performed using backlighting technique. The silhouette of particle is thus obtained, and consequently, informative features such as particle area, centroid and shape-related descriptors are collected. Several dimensionless parameters are defined, and used as regressor variables in a multiple linear regression model to predict particle volume. Regressor coefficients are found by fitting to a randomly selected sample of 501 panicles ranging in size from 4.75mm to 25ram. The model testing experiment is conducted against a different aggregate sample of the similar statistical properties, the errors of the model-predicted volume of the batch is within ±2%.展开更多
An implicit solvent coarse-grained （CG） lipid model using three beads to reflect the basically molecular structure of two-tailed lipid is developed. In this model, the nonbonded interaction employs a variant MIE pot...An implicit solvent coarse-grained （CG） lipid model using three beads to reflect the basically molecular structure of two-tailed lipid is developed. In this model, the nonbonded interaction employs a variant MIE potential and the bonded interaction utilizes a Harmonic potential form. The CG force field parameters are achieved by matching the structural and mechan-ical properties of dipalmitoylphosphatidylcholine （DPPC） bilayers. The model successfully reproduces the formation of lipid bilayer from a random initial state and the spontaneous vesiculation of lipid bilayer from a disk-like structure. After that, the model is used to sys-tematically study the vesiculation processes of spherical and cylindrical lipid droplets. The results show that the present CG model can effectively simulate the formation and evolution of mesoscale complex vesicles.展开更多
基金The National Natural Science Foundation of China(No.51276064)the Natural Science Foundation of Hebei Province(No.E2013502292)
文摘The characteristics of the simultaneous calcination/ sulfation of limestone under oxy-fuel fluidized bed combustion were studied and compared with those of the sulfation of precalcined CaO. During the calcination stage, SO2 can react with product CaO and slow down the CaCO3 decomposition rate by the covering effect of the CaSO4 product. The sulfation rate of simultaneous calcinatiort/sulfation is slower than that of precalcined CaO, but with a long enough sulfation time, the calcium conversion of simultaneous calcination/sulfation is higher than that of the precalcined CaO. A grain-micrograin model is established to describe the simultaneous calcination, sintering and sulfation of limestone. The graln-micrograln model can reflect the true reaction process of the calcination and sulfation of limestone in oxy-fuel fluidized bed combustion.
基金Project supported by China Postdoctoral Science Foundation (No.20060400313)partly by Zhejiang Postdoctoral Science Founda-tion of China (No. 2006-bsh-25)
文摘In airborne tracking,the blind Doppler makes the target undetectable,resulting in tracking difficulties. In this paper,we studied most possible blind-Doppler cases and summed them up into two types:targets' intentional tangential flying to radar and unintentional flying with large tangential speed. We proposed an interacting multiple model(IMM) particle filter which combines a constant velocity model and an acceleration model to handle maneuvering motions. We compared the IMM particle filter with a previous particle filter solution. Simulation results showed that the IMM particle filter outperforms the method in previous works in terms of tracking accuracy and continuity.
基金Funded by the Zhejiang Provincial Educatrion Ministry (No.2004884), and the Scientific Research Start-up Foundation of Ningbo University (No.2004037).
文摘In this paper, an approach to predicting randomly-shaped particle volume based on its two- Dimensional （2-D） digital image is explored. Conversion of gray-scale image of the particles to its binary counterpart is first performed using backlighting technique. The silhouette of particle is thus obtained, and consequently, informative features such as particle area, centroid and shape-related descriptors are collected. Several dimensionless parameters are defined, and used as regressor variables in a multiple linear regression model to predict particle volume. Regressor coefficients are found by fitting to a randomly selected sample of 501 panicles ranging in size from 4.75mm to 25ram. The model testing experiment is conducted against a different aggregate sample of the similar statistical properties, the errors of the model-predicted volume of the batch is within ±2%.
基金We thank Professor Dr. Markus Deserno （Department of Physics, Carnegie Mellon University）, Jemal Guven （Institute of Nuclear Science, Universidad Nacional Autonoma de Mexico）, and Zhan-chun Tu （Department of Physics, Beijing Normal University） for their valuable advice. This work is supported by the National Natural Science Foundation of China （No.20974078, No.21274107, and No.91127046）. The computation and simulation are partly carried out in High Performance Computing Center of Tianjin University.
文摘An implicit solvent coarse-grained （CG） lipid model using three beads to reflect the basically molecular structure of two-tailed lipid is developed. In this model, the nonbonded interaction employs a variant MIE potential and the bonded interaction utilizes a Harmonic potential form. The CG force field parameters are achieved by matching the structural and mechan-ical properties of dipalmitoylphosphatidylcholine （DPPC） bilayers. The model successfully reproduces the formation of lipid bilayer from a random initial state and the spontaneous vesiculation of lipid bilayer from a disk-like structure. After that, the model is used to sys-tematically study the vesiculation processes of spherical and cylindrical lipid droplets. The results show that the present CG model can effectively simulate the formation and evolution of mesoscale complex vesicles.
