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Normas DIN – AENOR
DIN ISO 9276-2:2018-01

DIN ISO 9276-2:2018-01

Representation of results of particle size analysis - Part 2: Calculation of average particle sizes/diameters and moments from particle size distributions (ISO 9276-2:2014); Text in German and English / Note: Date of issue 2017-12-15

Représentation de données obtenues par analyse granulométrique - Partie 2: Calcul des tailles/diamètres moyens des particules et des moments à partir de distributions granulométriques (ISO 9276-2:2014); Texte en allemand et anglais / Attention: Date de parution 2017-12-15

Darstellung der Ergebnisse von Partikelgrößenanalysen - Teil 2: Berechnung von mittleren Partikelgrößen/-durchmessern und Momenten aus Partikelgrößenverteilungen (ISO 9276-2:2014); Text Deutsch und Englisch / Achtung: Erscheinungsdatum 2017-12-15

Fecha Anulación:
2018-09 /Withdrawn
Equivalencias internacionales:

ISO 9276-2 (2014-05)

Relación con otras normas DIN:

Reemplazada por: DIN ISO 9276-2:2018-09

This part of ISO 9276 provides relevant equations and coherent nomenclatures for the calculation of moments, mean particle sizes and standard deviations from a given particle size distribution. Two notation systems in common use are described. One is the method of moments while the second describes the moment-ratio method. The size distribution may be available as a histogram or as an analytical function. The equivalent diameter of a particle of any shape is taken as the size of that particle. Particle shape factors are not taken into account. It is essential that the measurement technique is stated in the report in view of the dependency of sizing results of measurement principle. Samples of particles measured are intended to be representative of the population of particles. For both notation systems, numerical examples of the calculation of mean particle sizes and standard deviation from histogram data are presented in an annex. The accuracy of the mean particle size may be reduced if an incomplete distribution is evaluated. The accuracy may also be reduced when very limited numbers of size classes are employed.
Analysis, Construction, Data representation, Diameter, Grain size, Mathematical calculations, Particle size, Particle size distribution, Particulate matter measurement, Sieving, Test result
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