Using chi-square and T-square charts to interpret sieve analysis data
After a material's particle size distribution is determined, generally by sieve analysis, statistical process control procedures can be used to interpret the results. However, these procedures produce a cumbersome amount of data and aren't always accurate.
This article describes two types of statistical process control charts -- chi-square and T-square charts -- that you can use to simply and effectively interpret sieve analysis results. The information on using chi-square and T-square charts can also be applied to results generated by particle sizing methods other than sieve analysis.