5 results about "Droplet size" patented technology

The invention discloses a particle shape and particle size detection method in the melting suspension granulation process of an energetic material, which comprises the following steps: collecting a liquid drop image in the process of heating and dispersing the energetic material into a dispersion medium; determining droplet size distribution data according to the droplet image; determining whether the droplet size distribution meets a cooling crystallization condition, if so, performing crystallization treatment, and if not, adjusting the stirring rate until the droplet size distribution meets the cooling crystallization condition; crystallization of the energetic material is completed, and an energetic material crystal particle image is collected in the crystallization process; according to the energetic material crystal particle image, determining whether the crystal particle diameter distribution meets the crystallization and granulation ending condition or not, if yes, ending granulation detection, and if not, reheating to the melting temperature of the energetic material, then returning to perform liquid drop image acquisition, and if yes, ending detection until the crystallization and granulation ending condition is sufficient. According to the method, real-time dynamic monitoring of the melt crystallization spheroidization process of the energetic material is achieved, and the hysteresis problem of traditional off-line detection is solved.

The invention discloses a pressurized water reactor radioactive iodine distribution coefficient estimation method and system, and relates to the technical field of pressurized water reactor serious accident analysis. The method comprises the following steps: calculating particle size distribution of liquid drops and distribution of a liquid film in a jet process to obtain a mass transfer area of the liquid drops and the liquid film; calculating the total mass transfer amount of radioactive iodine by taking the mass transfer area as input; solving the concentration of each iodide in the liquid phase according to the total mass transfer amount; and finally, combining the iodide total concentration with the radioactive iodine gas phase concentration to obtain a partition coefficient. The system correspondingly comprises an area module, a quality module, a concentration module and a coefficient module which are connected in sequence to realize the method function. According to the method, the precision problem caused by the fact that an existing program ignores the mass transfer effect of liquid drops and a liquid film is solved, the distribution coefficient can be accurately estimated, and a reliable basis is provided for radioactive consequence evaluation and source item analysis after a pressurized water reactor accident.

The invention relates to a system (101) for discriminating the size of supercooled droplets for an aircraft. The system (101) comprises at least one laser source (103) configured to emit a laser beam (105) and a focusing device (107) for focusing the laser beam (105) into a cloud (109) of supercooled droplets. The laser source (103) is configured to generate an optical back-injection interference signal from a reflection of the laser beam (105) into the cloud (109) of supercooled droplets, and a processing unit (113) is configured to acquire the interference signal and analyze the amplitude variations of said interference signal using a convolutional neural network so as to classify the droplets in the cloud (109) according to their size. Figure for the abstract: Fig. 3

This invention discloses a method for detecting particle shape and size during the melt suspension granulation process of energetic materials. The method includes: acquiring droplet images during the heating and dispersion of the energetic material into a dispersion medium; determining droplet size distribution data based on the droplet images; determining whether the droplet size distribution meets the cooling crystallization conditions; if so, proceeding to crystallization; if not, adjusting the stirring rate until the droplet size distribution meets the cooling crystallization conditions; completing the crystallization of the energetic material, acquiring images of the crystalline particles during the crystallization process; determining whether the diameter distribution of the crystalline particles meets the conditions for ending crystallization granulation based on the crystalline particle images; if so, ending the granulation detection; if not, reheating to the melting temperature of the energetic material and re-entering droplet image acquisition until the conditions for ending crystallization granulation are met, ending the detection. This invention achieves real-time dynamic monitoring of the spheroidization process of energetic material melting and crystallization, solving the problem of lag in traditional offline detection.