1 Scope
This part of ISO 9276 specifies methods for the adjustment of an experimental curve to a reference model
with respect to a statistical background. Furthermore, the evaluation of the residual
deviations, after the adjustment, is also specified. The reference model can also
serve as a target size distribution for maintaining product quality.
This part of ISO 9276 specifies procedures that are applicable to the following reference models:
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a) normal distribution (Laplace-Gauss): powders obtained by precipitation, condensation or natural products (pollens);
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b) log-normal distribution (Galton MacAlister): powders obtained by grinding or crushing;
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c) Gates-Gaudin-Schuhmann distribution (bilogarithmic): analysis of the extreme values of the fine particle distributions;
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d) Rosin-Rammler distribution: analysis of the extreme values of the coarse particle distributions;
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e) any other model or combination of models, if a non-linear fit method is used (see bimodal example in Annex C).
This part of ISO 9276 can substantially support product quality assurance or process optimization related
to particle size distribution analysis.