ASTM E 799 : 2003 : R2015
Superseded
A superseded Standard is one, which is fully replaced by another Standard, which is a new edition of the same Standard.
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Standard Practice for Determining Data Criteria and Processing for Liquid Drop Size Analysis
Hardcopy , PDF
05-30-2020
English
03-01-2015
Important note : All end users must be registered with an Account prior to user licenses being assigned.CONTAINED IN VOL. 14.02, 2016 Provides procedures for determining appropriate sample size, size class widths, characteristic drop sizes, and dispersion measure of drop size distribution.
| Committee |
E 29
|
| DocumentType |
Standard Practice
|
| Pages |
5
|
| ProductNote |
Reconfirmed 2015
|
| PublisherName |
American Society for Testing and Materials
|
| Status |
Superseded
|
| SupersededBy | |
| Supersedes |
1.1This practice gives procedures for determining appropriate sample size, size class widths, characteristic drop sizes, and dispersion measure of drop size distribution. The accuracy of and correction procedures for measurements of drops using particular equipment are not part of this practice. Attention is drawn to the types of sampling (spatial, flux-sensitive, or neither) with a note on conversion required (methods not specified). The data are assumed to be counts by drop size. The drop size is assumed to be the diameter of a sphere of equivalent volume.
1.2The values stated in SI units are to be regarded as standard. No other units of measurement are included in this standard.
1.3The analysis applies to all liquid drop distributions except where specific restrictions are stated.
| ISO 9276-1:1998 | Representation of results of particle size analysis — Part 1: Graphical representation |
| ASTM E 1296 : 1992 | Terminology Relating to Liquid Particle Statistics (Withdrawn 1997) |
| ISO 13320-1:1999 | Particle size analysis Laser diffraction methods Part 1: General principles |
| ISO 9276-2:2014 | Representation of results of particle size analysis — Part 2: Calculation of average particle sizes/diameters and moments from particle size distributions |
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