Date recorded: December 14 2010

Duration: 53 minutes 51 seconds

Sampling is one of the most important aspects of particle size analysis. In this presentation we will calculate the best possible standard error with a given mass of sample of known top end size, for a chosen size distribution parameter.
Table of contents
1. Sampling for particle size analysis - estimation of standard error
01:51
2. Sampling for particle size analysis - estimation of standard error
01:23
3. Overview
00:58
4. Obligatory Opening Quotation
00:43
5. Published Abstract
01:12
6. 4 days on sampling course in CSM, Golden, CO - after writing and delivering this presentation….
01:25
7. Standing on the shoulders of previous kings of sampling…
01:18
8. Heinrich Oscar Hofman, MIT (August 13 1852 – April 28 1924) Heidelburg and Clausthal
01:02
9. David William Brunton (June 11 1849 – Dec. 20 1927) “Constr. Engr. Room 506, Boston Bldg., Denver, CO.” Joined AIME in 1883
01:32
10. Professor Robert Richards We’ll be back to him later!
02:10
11. Pierre Maurice Gy (from Kim Esbensen)
00:42
12. Pierre Gy
00:06
13. Pierre Gy
00:15
14. The course material…… 4 days condensed into less than 45 minutes…
00:33
15. Assumptions of the listener
00:59
16. What do I need to think about and define before I even attempt a particle size measurement?
02:09
17. The 3 R’s
00:53
18. Pitard
01:20
19. “Your decisions are only as good as your samples” Francis F Pitard
02:35
20. Fundamental Sampling Error (FSE)
01:41
21. Sampling New notations (Pitard/Esbensen)
00:47
22. The taking of a representative sample
00:44
23. Esbensen – 2 SlideData
00:42
24. NASA lunar regolith
00:54
25. “How much sample do we need to take for any required degree of precision?”
00:37
26. Standard Error (Gy: Fundamental Sampling Error, FSE) A population has a true mean and standard deviation. When we're sampling we don't know what those 'true' values actually are. The standard error is the estimate of the true standard deviation based
02:46
27. “I wish to detect a small amount of agglomeration in my system”
02:07
28. “I wish to detect a small amount of agglomeration in my system”
02:01
29. “I wish to detect a small amount of agglomeration in my system”
01:36
30. Calculation of minimum mass Totally different approaches: Gy via s and Rawle via numbers of particles
01:32
31. Break out – back to the course – x95
00:20
32. [(1/aL) – 2]
01:48
33. Vezin (yes he!) 1866 Quoted in R H Richards Ore Dressing Volume II Hill Publishing New York (1908) page 850
01:37
34. So compare Rawle and Vezin – in the same breath!
01:24
35. “Gy's Formula: Conclusion of a New Phase of Research” D. Francois-Bongarçon, May 1998
00:37
36. Professor Robert Richards, MIT Robert Hallowell Richards: August 26, 1844 – March 27, 1945
00:58
37. We can turn the calculation ‘around’…
00:45
38. OK - up to 200mm
00:55
39. The big stuff
01:17
40. So you’re taking only 20mg……….
01:30
41. And how do you take your sample? With a spatula? Like a grocer?
00:43
42. The x100 represents the single largest particle in the (sampled) distribution
01:08
43. x100 – ISO 13320: 2009
00:22
44. Sampling - summary
00:37
45. Untitled
01:17