Two-dimensional shape and size characterization of polygonally symmetric particles (original) (raw)

A simple method for particle shape generation with spherical harmonics

Powder Technology, 2018

The increasing interest in particle shape influence on granular mechanics necessitates a fast and robust particle shape generation method. We describe a new approach based on rotation-invariant spherical harmonic (SH) analysis. The core of this method is to construct morphology features at various length scales and superimpose them together to form the overall morphology. This method uses four rotation-invariant SH factors to construct SH coefficient matrices. We quantify particle shape at form, roundness, and compactness to establish the linkage between SH factors and traditional shape parameters. It is found that SH factors effectively control particle features at different scales. This method has a great potential to facilitate the research on granular mechanics considering particle shape effects.

Predicting the Particle Size Distributions of Spherical Particle Sets from Synthetic Images: A Comparison of 9 Classic Image Features

2021

The two objectives of this paper were to demonstrate use the of the discrete element method for generating synthetic images of spherical particle configurations, and to compare the performance of 9 classic feature extraction methods for predicting the particle size distributions (PSD) from these images. The discrete element code YADE was used to generate synthetic images of granular materials to build the dataset. Nine feature extraction methods were compared: Haralick features, Histograms of Oriented Gradients, Entropy, Local Binary Patterns, Local Configuration Pattern, Complete Local Binary Patterns, the Fast Fourier transform, Gabor filters, and Discrete Haar Wavelets. The feature extraction methods were used to generate the inputs of neural networks to predict the PSD. The results show that feature extraction methods can predict the percentage passing with a root-mean-square error (RMSE) on the percentage passing as low as 1.7%. CLBP showed the best result for all particle size...

Some properties of irregular 3-D particles

Powder Technology, 2006

This paper discusses some of the properties of irregular particles that are of interest to engineers, including volume, density and surface area. Numerical and statistical information on these properties is essential (a) for a better understanding of particulates, (b) to suggest more efficient ways to utilize particulate materials and (c) to permit the creation of mathematical models that can reduce the need for lengthy real-world testing. While the motivation, examples and applications are from the construction materials industry, the results should be of interest to others. Measurement techniques used included X-ray computed tomography (CT) and multiple projected images, augmented by traditional laboratory techniques. To compare the results of these techniques, a set of 12 rocks were studied of which six were between 19 mm and 12.7 mm (0.75 in. to 0.5 in.) in size, and six were between 12.7 mm and 6.3 mm (0.5 in. to 0.25 in.) in size. Microfine versions of these rocks (< 80 Am equivalent spherical diameter) were also studied and compared. The shapes of the rocks were studied by relating three dimensions to their volume and surface area. These three physical dimensions were defined in two different ways: direct measurement of three unique orthogonal dimensions on the rock surface, and dimensions obtained from the use of absolute first moments of volume and principal second moments of volume. These measurements and calculated moments allowed the development of three-parameter equivalent shape models based on rectangular parallelepipeds and tri-axial ellipsoids. All types of three-parameter equivalent shape models considered provided acceptable accuracy in predicting both volume and surface area, with the box models being generally more physical and realistic than the ellipsoid-based equivalent shape models for the type of rocks considered. D

Assessment of mathematical expressions for morphological parameters of solid particles based on common geometric shapes

Powder Technology, 2020

Particulate solids or fragments are found in nature and many industrial processes. They are commonly characterized by a number of morphological parameters, for which the mathematical expressions in literature usually come from comparisons to idealized shapes. Whereas these expressions must fit some requirements firstly on common geometric shapes before being used on a real solid particle. In this work, the expressions for calculating morphological parameters based on both projected area (2D) and on three-dimensional (3D) shapes of solid particles were evaluated. Hereof expressions from literature related to the same morphological parameter were identified, and others defined originally on projected area, 2D, were proposed to be used on 3D shapes. The results allowed to indicate the most suitable expression for each parameter based on pre-established criteria. In practice, distinct values obtained from different expressions applied to the same shape make a comparative analysis a complex task, which requests commitment for Standardization.

3D analytical mathematical models of random star-shape particles via a combination of X-ray computed microtomography and spherical harmonic analysis | NIST

2016

To compute any physical quantity for a random particle, one needs to know the mathematical shape of the particle. For regular particles like spheres and ellipsoids, the mathematics are straightforward. For random particles, with realistic shapes, mathematically characterizing the shape had not been generally done. But since about the year 2002, a method has been developed that combines X-ray computed tomography and spherical harmonic analysis to give analytical, differentiable mathematical functions for the three-dimensional shape of star-shape particles, which are a wide class of particles covering most industrial particles of interest, ranging from micrometer scale to millimeter scale particles. This review article describes how this is done, in some detail, and then gives examples of applications of this method, including a contact function that is suitable for these random shape particles. The purpose of this article is to make these ideas widely available for the general powder researcher who knows that particle shape is important to his/her applications, and especially for those researchers who are just starting out in their particle science and technology careers.

Neither Sphere nor Cube—Analyzing the Particle Shape Using Small-Angle Scattering and the Superball Model

The Journal of Physical Chemistry C, 2021

Accurate characterization of the nanocrystal shape with high statistical relevance is essential for exploiting the strongly shape-dependent properties of cuboidal nanoparticles towards applications. This work presents the development of a new small-angle scattering form factor based on the superball geometry. The superball quantifies the characteristic rounding of corners and edges of cuboidal nanoparticles with a single parameter. Applied to small-angle scattering data of sufficiently monodisperse nanoparticles, the superball form factor enables differentiation between the effects of extended particle size distribution and irregular particle shape. The quantitative application of the superball form factor is validated against microscopy data for a series of monodisperse nanoparticles and implemented into the user-friendly, open source software Sasview.

The distribution of projected area and perimeter of convex, solid particles

Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2001

The probability density function of projected area and the joint probability density function of projected perimeter and area have been evaluated for convex solid particles whose shapes are ellipsoidal, cylindrical and conical. This provides a starting point for a study of how calculated two-dimensional projections on a plane of threedimensional solids may be used to infer the three-dimensional particle shape and size. This information, for comparison with experimental measurements and supplemented by 'snapshot' views, could aid particle identification by eye or instrument.

Solid Particle Characterization. Some Aspect Related to the Shape Evaluation by Using Software Correlations

Journal of Engineering Studies and Research, 2021

This article presents a method for determining the Riley circularity evaluation, a characteristic that defines the shape of a solid particle. To determine this parameter, a working methodology was identified by using Mathcad. To verify this methodology 15 anthracite particles were inserted in the working file, the shape of which is different, to determine the analyzed characteristic.

Using simple particle shapes to model the Stokes scattering matrix of ensembles of wavelength-sized particles with complex shapes: possibilities and limitations

Journal of Quantitative Spectroscopy and Radiative Transfer, 2002

We investigate to what extent the full Stokes scattering matrix of an ensemble of wavelength-sized particles with complex shapes can be modeled by employing an ensemble of simple model shapes, such as spheres, spheroids, and circular cylinders. We also examine to what extent such a simple-shape particle model can be used to retrieve meaningful shape information about the complex-shaped particle ensemble. More speciÿcally, we compute the Stokes scattering matrix for ensembles of randomly oriented particles having several polyhedral prism geometries of di erent sizes and shape parameters. These ensembles serve as proxies for size-shape mixtures of particles containing several di erent shapes of higher geometrical complexity than the simple-shaped model particles we employ. We ÿnd that the phase function of the complex-shaped particle ensemble can be accurately modeled with a size distribution of volume-equivalent spheres. The diagonal elements of the scattering matrix are accurately reproduced with a size-shape mixture of spheroids. A model based on circular cylinders accurately ÿts the full scattering matrix including the o-diagonal elements. However, the modeling results provide us with only a rough estimate of the e ective shape parameter of the complex-shaped particle ensemble to be modeled. They do not allow us to infer detailed information about the shape distribution of the complex-shaped particle ensemble.

On the Determination of the Shape-Type of Particles

Image Analysis & Stereology, 2008

Based on observations on similar-looking randomly deformed particles inference is made about the original common shape-type of these particles by means of statistical tests.