Estimation of the particle size distribution of colloids from multiangle dynamic light scattering measurements with particle swarm optimization

In this paper particle Swarm Optimization (PSO) algorithms are applied to estimate the particle size distribution (PSD) of a colloidal system from the average PSD diameters, which are measured by multi-angle dynamic light scattering. The system is considered a nonlinear inverse problem, and for this...

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Bibliographic Details
Published in:Ingeniería e investigación 2015, Vol.35 (1), p.49-54
Main Authors: Leonardo Antonio Bermeo Varón, Caicedo, Eduardo, Clementi, Luis, Vega, Jorge
Format: Article
Language:English
Subjects:
Colloids
Dynamic Light Scattering
Dynamical systems
ENGINEERING, MULTIDISCIPLINARY
Estimating techniques
Inverse Problem
Inverse problems
Light scattering
Measurement techniques
Nonlinear dynamics
Optimization techniques
Particle size
Particle Size Distribution
Particle Swarm Optimization
Scattering
Swarm Intelligence
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Summary:In this paper particle Swarm Optimization (PSO) algorithms are applied to estimate the particle size distribution (PSD) of a colloidal system from the average PSD diameters, which are measured by multi-angle dynamic light scattering. The system is considered a nonlinear inverse problem, and for this reason the estimation procedure requires a Tikhonov regularization method. The inverse problem is solved through several PSO strategies. The evaluated PSOs are tested through three simulated examples corresponding to polysty-rene (PS) latexes with different PSDs, and two experimental examples obtained by simply mixing 2 PS standards. In general, the evalu-ation results of the PSOs are excellent; and particularly, the PSO with the Trelea's parameter set shows a better performance than other implemented PSOs.
ISSN:0120-5609
2248-8723
DOI:10.15446/ing.investig.v35n1.45213