Theoretical Study of the Scatter of Experimental Data Due to Particle-Size-Distribution

The scatter of data due to the size distribution and the number of particles to be required in an experiment in a particulate process are discussed in detail. The process dealt with in this paper is that represented by:y = KDαP. If the log-normal size distribution is valid, the number of particles required in an experiment and the amount of scatter can be determined by use of only one parameter, calculable from the standard geometric deviation of population-particles, basis number β (β = 0 for the count basis and β=3 for the mass basis), the exponent α, and the magnitude of error required in the experiment. Conversely, the error can be estimated from the number of particles used in an experiment.