Study on the sample size required for the estimation of mean particle diameter

Hiroaki Masuda, Kuniaki Gotoh

Research output: Contribution to journalArticle

46 Citations (Scopus)

Abstract

Statistical error caused by sample size (i.e. number of sample particles) has been studied by use of a computer simulation. Simulated results were compared with the theoretical equation in which a log-normal size distribution was assumed. The theory gave general analytical solutions for the distribution of sample mean diameter and the number of particles required to achieve a measurement within a certain error under a given confidence level. The computer simulation confirmed the theory. Therefore, the error caused by an inadequate number of sample particles or number of particles required in a measurement can be analytically estimated. It was also found that the number of particles required is reduced by both the evaluation basis and the assigned admissible error. However, fairly large numbers of particles are required for precise measurement.

Original languageEnglish
Pages (from-to)159-173
Number of pages15
JournalAdvanced Powder Technology
Volume10
Issue number2
DOIs
Publication statusPublished - Jan 1 1999
Externally publishedYes

ASJC Scopus subject areas

  • Chemical Engineering(all)
  • Mechanics of Materials

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