Experimental investigation of segregation of granular mixtures during heap formation

Sandip H Gharat,M.A Aguirre,S Luding,R Soto,L.A Pugnaloni

doi:10.1051/epjconf/202124903030

Abstract

The present study is on segregation of granular mixtures during heap formation in a quasi two-dimensional rectangular bin where binary mixture of a specified composition is poured intermittently into the auxiliary hopper and then allowed to pass through the gap (k = 10 mm) between the divider and the plate and finally settle on to the heap. The profiles of number fraction of big particles are plotted along the flow directions to study the segregation phenomena for surface profile. It shows that larger particles travel more distance and smaller particles settle near the pouring point for all cases studied.

Highlights

Granular materials segregate due to differences in their size, shape and density [1,2,3]
Data obtained for the detected images is converted into mm.The images are analyzed to determine the position of each particle and number fraction of big particles across the layer
The profiles of number fraction of big (2mm) particles vs component x with depth y for top and bottom layer are shown in Fig. 5 - and 5 - for 50 % by volume of small and 50 % by volume of big particles

Summary

Introduction

Granular materials segregate due to differences in their size, shape and density [1,2,3]. The segregation during heap formation has been studied in a quasi two dimensional rectangular bin for a mixture of different sized spherical particles having equal density by means of high speed video imaging. The objective is to study segregation of granular materials during heap formation (quasi 2D system). Experiments are carried out in quasi-two-dimensional rectangular bin. Stainless steel (SS 316) balls of different sizes (1 and 2 mm) are used as model granular materials. The images taken are analyzed using computer code to detect the particles. Image analysis technique is used to detect the position and size of the particles. Profiles of number fraction of big (2 mm) particles vs component x (mm) with depth y (mm) in the layers are plotted separately for top and bottom part of heap

Methods

Results

Conclusion