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Study On Particle Size Detection Method Based On Light Scattering Method

Posted on:2018-05-19Degree:MasterType:Thesis
Country:ChinaCandidate:H D ShenFull Text:PDF
GTID:2371330542473511Subject:Instrumentation engineering
Abstract/Summary:PDF Full Text Request
Particle size is one of the most important characteristic parameters of particles.It is closely related to energy utilization,atmospheric protection and material structure optimization.In this paper,a method based on the principle of light scattering and the theory of Mie scattering,calculat ing the particle size by a polarization ratio method is proposed.Furthermore,the build of experimental platform has been finished.The main research works are as follows:(1)The light total scattering theory and Mie scattering theory are introduced and a mathematical model for solving the particle size distribution by the polarization ratio method is derived based on theory of Mie scattering theory.(2)In the aspect of light total scattering theory,the optical total scattering method is analyzed and simulated with two algorithms of independent and non-independent modes,which are sensitive to the influence of gas impurities and solid impurities in the optical path.(3)In the aspect of polarization ratio theory,the upper and lower limits of particle size measurement are analysed,also simulation using genetic algorithm and quantum particle swarm ptimization algorithm has been done.Comparing with the simulation results of light scattering method,the superiority of the polarization ratio method in noise immunity has been proved.(4)A polarization measurement method based on Mie scattering theory and a light total scattering particle measurement system based on the Beer-Lambert theorem are proposed.Also,the national standard particle size distribution of reconstruction has been detected.As a reasult,the polarization ratio method has higher detection accuracy in the actual particle detection.
Keywords/Search Tags:Polarization ratio method, Scattering theory, Particle size, Inversion algorithm
PDF Full Text Request
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