نتایج جستجو برای: particle shape
تعداد نتایج: 357208 فیلتر نتایج به سال:
the effects of chitosan/biopolymer (c/p) and nanohydroxyapatite/ biopolymer (nha/p) weight ratios on particle size and its uniformity, cross-linking density and nh2 content of nano-hydroxyapatite/chitosan/gelatin (nha/c/g) microspheres were investigated. microspheres were fabricated using water-in-oil emulsion. cross-linking of microspheres was performed using water soluble carbodiimide. partic...
Both projects involved extensive collaboration between Rowan University and University of South Florida. The primary objective of the Rowan University team is the design, development and validation of automated image processing algorithms that can estimate three-dimensional shape-descriptors for particle aggregates, which can then be used in discrete element modeling. The principal accomplishme...
The solid particles are adsorbed at interfaces and form self-assembled structures when the particles have suitable wettability to both liquids. Here, we show theoretically how the microstructure on the particle surface affects their adsorption properties. The physical properties of the interface adsorbing a particle will be described by taking into account the surface roughness due to the micro...
Experimental laser beam profiles often deviate somewhat from the ideal Gaussian shape of the axisymmetric TEM(00) laser mode. To take these deviations into account when calculating light scattering of an off-axis beam by a spherical particle, we use our phase-modeling method to approximate the beam-shape coefficients in the partial wave expansion of an experimental laser beam. We then use these...
Image analysis has made decisive breakthrough in the recent years to become a reference technique in the field of combined size and shape analysis of particles. Thanks to full automation of the particle dispersion and the individual particle imaging process, productivity of the instrument is no longer a major drawback. However the question of representativity of analyses has not been discussed ...
A convolutional neural network (CNN) was used to identify the morphology of rough particles from their interferometric images. The tested had shapes sticks, crosses, and dendrites as well Y-like, L-like, T-like shapes. conversion images polar coordinates enabled particle shape recognition despite random orientations sizes particles. For non-centrosymmetric (Y, L, T), CNN not disturbed by twin i...
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