▎ 摘　　要

NOVELTY - Visual characterization method of the distribution state of nanoparticles in composite material involves using fluorescent nanoparticles for grinding pretreatment, dispersing the fluorescent nanoparticles obtained in a resin, stirring and ultrasonic treatment, curing the resin with the nanoparticles dispersed to obtain a resin spline, dispersing the fluorescent nanoparticles obtained in a resin diluent, and performing ultrasonic treatment to obtain a dispersion, soaking the fiber in the dispersion obtained, and then taking out and drying to obtain a modified fiber with fluorescent nanoparticles uniformly dispersed on the surface, using the modified fiber obtained to be combined with the resin and then be cured to obtain a composite material spline. USE - Visual characterization method of the distribution state of nanoparticles in composite material. ADVANTAGE - The method enables realizing in-situ characterization of dispersion state of the fluorescent nano-particle in resin matrix and composite material interface three-dimensional space large scale range. DETAILED DESCRIPTION - Visual characterization method of the distribution state of nanoparticles in composite material involves using fluorescent nanoparticles for grinding pretreatment, dispersing the fluorescent nanoparticles obtained in a resin, stirring and ultrasonic treatment, curing the resin with the nanoparticles dispersed to obtain a resin spline, dispersing the fluorescent nanoparticles obtained in a resin diluent, and performing ultrasonic treatment to obtain a dispersion, soaking the fiber in the dispersion obtained, and then taking out and drying to obtain a modified fiber with fluorescent nanoparticles uniformly dispersed on the surface, using the modified fiber obtained to be combined with the resin and then be cured to obtain a composite material spline. The resin spline and composite material spline obtained are used to characterize the resin area and the composite material interface area through a laser scanning confocal microscope, respectively, performed layering and contrast processing on the three-dimensional fluorescence images characterized by the laser scanning confocal microscope to obtain a two-dimensional binary image, and then used the particle spacing probability density technology to calculate the dispersion of nanoparticles in the resin area quantitative characterization results.