Sphericities of non-spherical objects
Graphical abstract
A decreasing order of sphericity from sphere to regular tetrahedron.
Highlights
► A comprehensive investigation of the sphericities of common non-spherical objects. ► Maximum values of sphericity and optimum shapes are obtained and analyzed. ► A decrease order of sphericities of common non-spherical objects is presented. ► Similar trends are found in most sphericity functions and packing density curves.
Introduction
The term sphericity was defined by Wadell in 1935 (Wadell, 1935), as the ratio of the surface area of a sphere which has the same volume as the given particle to the surface area of that particle, i.e., the sphericity is a shape factor to tell how round a particle is, and the sphere has the highest sphericity of unity. Sphericity, as one of the most important parameter for non-spherical particle morphology, has been widely applied in the research of many fields. For example, sphericity has been used to describe the effect of particle morphology in circulating fluidized bed combustion (CFBC) (Liu, Zhang, Wang, & Hong, 2008), to give the drag coefficient and terminal velocity of falling particles (Haider & Levenspiel, 1989), and to distinguish the aspects of the shape of rock particles in the study of sediments in geology (Barrett, 1980). Moreover, one of the most significant applications of the sphericity is to evaluate the porosity (or the packing density) of particle packing. For sphere packing, prediction model has been developed to describe the relationship between porosity and particle size distribution (Westman, 1936, Yu et al., 1996). For non-spherical particle packing, empirical methods have also been developed to predict the porosity of mono-sized objects (Zou & Yu, 1996) and binary mixtures (Yu, Standish, & Mclean, 1993). These methods are based on the concept of equivalent packing diameter (Yu and Standish, 1993, Zou and Yu, 1996) which is determined by the sphericity of the particle and the equivalent volume diameter. Consequently, the sphericity is one of the most important factors for porosity evaluation in engineering applications.
However, study on sphericity is far beyond adequate, where only a few sphericities of basic non-spherical objects were listed (http://en.wikipedia.org/wiki/Sphericity; Yang, 2003), whose sphericities are mostly constant. The purpose of this paper is to deduce and analyze the sphericity of non-spherical objects in order to (a) provide a reference for the sphericities (or sphericity functions) of common non-spherical objects; (b) show how sphericity changes with shape factors and what properties (maximum value, monotonicity, etc.) the sphericity functions may have. Such efforts should avoid duplicate derivations and can be useful in the literature for general application.
We only show the derivation of sphericity for a cube in Section 2.1.1, the derivations for other referred particles are similar. Table 1, Table 2 in Section 3 give the sphericities and volumes, surface areas of common non-spherical objects, respectively. One may quickly get the sphericity–aspect ratio relationship with the data and therefore we only give the definitions of parameters used and the results in the main text.
Section snippets
Sphericities of common non-spherical objects
Common non-spherical objects can be easily found in nature, and have been widely involved in science and engineering. The common non-spherical objects concerned in the paper can be classified into three categories: the regular polyhedron and hemisphere, having fixed shapes and constant sphericities; the cylinder, cone, spherocylinder, normal triple prism and torus, having univariate sphericity functions; and the cuboid, elliptic cylinder, frustum and ellipsoid, having bivariate sphericity
Summary and conclusions
Sphericity functions of common non-spherical objects concerned in the paper are summarized in Table 1, together with the maximum values of sphericities and the optimum shapes. The volumes and surface areas of these objects are listed in Table 2.
The non-spherical objects involved in the paper can be sorted into three categories, having constant sphericity, univariate sphericity function and bivariate sphericity function respectively. Fig. 20 gives a comparison of sphericities referred. The
Acknowledgements
The authors acknowledge Professor Aibing Yu for his valuable discussions and suggestions to this work. This work was supported by the National Natural Science Foundation of China (Grant No. 10772005) and the National Basic Research Program of China (Grant Nos. 2007CB714603, 2010CB832701).
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