Inversion of particle size distribution from light-scattering data using a modified regularization algorithm--颗粒学报PARTICUOLOGY

Wang, Y., Liang, G., & Pan, Z. (2010). Inversion of particle size distribution from light-scattering data using a modified regularization algorithm. Particuology, 8(4), 365-371. https://doi.org/10.1016/j.partic.2009.11.003

Inversion of particle size distribution from light-scattering data using a modified regularization algorithm

Yanmin Wang ^{a b *}, Guobiao Liang ^a, Zhidong Pan ^{a b}

a College of Materials Science & Engineering, South China University of Technology, Guangzhou 510640, China
b Key Laboratory of Specially Functional Materials and Advanced Manufacturing Technology, Ministry of Education, South China University of Technology, Guangzhou 510640, China

10.1016/j.partic.2009.11.003

Volume 8, Issue 4, August 2010, Pages 365-371

Received 24 September 2009, Revised 16 November 2009, Accepted 22 November 2009, Available online 5 May 2010.

E-mail: wangym@scut.edu.cn

Highlights

Abstract

A modified regularization algorithm with a more proper operator was proposed for the inversion of particle size distribution (PSD) from light-scattering data in a laser particle sizer based on the Mie scattering principle. The Generalized Cross-Validation (GCV) method and the L-curve method were used for determining the regularization parameter. The Successive Over-Relaxation (SOR) iterative method was used to increase the exactness and stability of the converged result. The simulated results based on the modified algorithm are in a good agreement with the experimental data measured for nine standard particulate samples, their mixtures as well as three natural particulate materials with irregular shapes, indicating that this modified regularization method is not only feasible but also effective for the simulation of PSD from corresponding light-scattering data.

Graphical abstract

Keywords

Particle size measurement; Mie scattering; Laser particle size analyzer; Inverse algorithm

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