Estimation of Grain Size Distribution using Standard Curves.

Grain size measurement using distribution classification

The concept of grain size distribution is important in many industrial processes. In this study, rolled chrome concentrate was investigated to find the average grain size. Distribution classification was used with covariance, gray level difference, LBP, Laws and color features. As a comparison cooccurrence features were used. Classification was performed by a distribution classifier using leave...

Estimation of Bed Load Transport in River Omi, South Western Nigeria using Grain Size Distribution Data

Representative bed material samples were taken from the two gauging sites on rivers omi for sieve analysis to obtain the grain size distribution of its bed materials. The analyses of the grain size distribution showed that the bed load accounted for 9% of the total estimated suspended sediment load of 1,703, 548.113 kg/annum in river omi. River omi bed material had a geometric mean particle siz...

Grain size, size-distribution and dislocation structure

Diffraction peak profile analysis (or Line Profile Analysis, LPA) has recently been developed to such an extent that it can be applied as a powerful method for the characterization of microstructures of crystalline materials in terms of crystallite size-distribution and dislocation structures. Physically based theoretical functions and their Fourier coefficients are available for both, the size...

Estimation of the mean grain size of mechanically induced Hydroxyapatite based bioceramics via artificial neural network

This study focuses on the estimation of the mean grain size of mechanically induced Hydroxyapatite (HA) through the artificial neural network (ANN) model. The mean grain size of HA and HA based nanocomposites at different milling parameters were obtained from previous studies. The data were trained and tested by the neural network modeling. Accordingly, all data (55 sets) were based on the mecha...

Estimating the Saturated Hydraulic Conductivity of Granular Material, Using Artificial Neural Network, Based on Grain Size Distribution Curve