Sieve analysis: Making your numbers come out right
Sieve analysis for routine determination of particle size distribution is one of the most widely accepted test procedures in process powder laboratories. Because sieve analysis data is deemed crude by some and gospel by others, variations in test results become ammunition for the nay-sayers and foundation-shattering for those relying heavily on the data.
Understanding the meaning of the analysis data, identifying and isolating the variables in the test procedure, and using good judgment when setting up data tolerances ensures better reproducibility and a higher level of correlation between sieve analysis tests. This article discusses the elements of establishing a successful test sieving program to help make your numbers come out right.