Portal de Periódicos da CAPES

Comparison of Sieving Techniques in Size Distribution and Estimation of Particle Size of a Bulk Sample

2023; Institute of Science, Banaras Hindu University; Volume: 67; Issue: 04 Linguagem: Inglês

10.37398/jsr.2023.670401

0447-9483

Subhendu Kumar Pradhan, Sudip Sundar Das,

Mineral Processing and Grinding

The Sizing of minerals is important in pricing and designing the cause of the mineral industry. Particle size distribution is a difficult task for bulk samples and sieving is one of the most used methods. In the present study, particle size distribution was done with four different sieving techniques to compare the accuracy. The iron ore sample was collected from a mine in Joda-Barbil region of India for this purpose. All four methods were used for the estimation of the mean size, standard deviation, and R square of the duplicate samples. It was found that the estimated mean particle size of the sample is more for dry mechanical sieving than wet mechanical sieving than dry mechanical sieving than wet mechanical sieving. There is a decrease in R2 value from dry manual to wet mechanical indicating an increase in non-uniformity of particle size distribution. Each pair of method were analyzed with T-test for comparison. The two differentiating factors among the methods are slope in the column chart and variance in the T-test. The result shows the effectiveness of screening increases with the addition of moisture and also using a mechanical system.