研究目的
To estimate the particle size distribution (PSD) of a colloidal system from the average PSD diameters measured by multi-angle dynamic light scattering using particle Swarm Optimization (PSO) algorithms.
研究成果
The PSO with Trelea’s parameter set showed better performance in estimating PSDs from MDLS measurements compared to other implemented PSOs, producing the smallest objective function value and adequate average value of the objective function.
研究不足
The method requires dealing with an ill-conditioned inverse problem (ICIP) and the presence of measurement noises can affect the accuracy of the estimates.
1：Experimental Design and Method Selection:
The estimation procedure involves solving a nonlinear inverse problem using Tikhonov regularization method and several PSO strategies.
2：Sample Selection and Data Sources:
Three simulated examples corresponding to polystyrene (PS) latexes with different PSDs and two experimental examples obtained by mixing 2 PS standards.
3：List of Experimental Equipment and Materials:
A general purpose laser light-scattering photometer fitted with a vertically-polarized He–Ne laser and a digital correlator.
4：Experimental Procedures and Operational Workflow:
MDLS measurements were acquired at different angles, and the PSD was estimated using PSO algorithms.
5：Data Analysis Methods:
The inverse problem was solved through several PSO strategies, and the performance of each PSO was evaluated based on the objective function.
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