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Representation of results of particle size analysis — Part 3: Adjustment of an experimental curve to a reference model
| 분야 | ISO/TC 24/SC 4 : Particle characterization |
|---|---|
| 적용범위 | ISO 9276-3:2008 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. ISO 9276-3:2008 specifies procedures that are applicable to the following reference models: a) normal distribution (Laplace-Gauss): powders obtained by precipitation, condensation or natural products (pollens); b) log-normal distribution (Galton MacAlister): powders obtained by grinding or crushing; c) Gates-Gaudin-Schuhmann distribution (bilogarithmic): analysis of the extreme values of the fine particle distributions; d) Rosin-Rammler distribution: analysis of the extreme values of the coarse particle distributions; e) any other model or combination of models, if a non-linear fit method is used. ISO 9276-3:2008 can substantially support product quality assurance or process optimization related to particle size distribution analysis. |
| 국제분류(ICS)코드 | 19.120 : 입도 분석. 체가름 |
| 페이지수 | 23 |
| Edition | 1 |
| No. | 표준번호 | 표준명 | 발행일 | 상태 |
|---|---|---|---|---|
| 1 | ISO 9276-3:2008 | Representation of results of particle size analysis — Part 3: Adjustment of an experimental curve to a reference model | 2008-06-24 | 표준 |
ISO/DIS 9276-1 - Representation of results of particle size analysis — Part 1: Graphical representation 상세보기
ISO 9276-1:1998 - Representation of results of particle size analysis — Part 1: Graphical representation 상세보기
ISO 9276-4:2001 - Representation of results of particle size analysis — Part 4: Characterization of a classification process 상세보기
ISO 9276-1:1998/Cor 1:2004 - 상세보기
ISO 9276-5:2005 - Representation of results of particle size analysis — Part 5: Methods of calculation relating to particle size analyses using logarithmic normal probability distribution 상세보기
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