Title | Investigations of automated particle size analysis techniques |
Download | Download (whole publication) |
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Licence | Please note the adoption of the Open Government Licence - Canada
supersedes any previous licences. |
Author | Lindsay, P J; Percival, J B ; Tsai, A C; Wygergangs, M H M |
Source | Current research 1998-E/Recherches en cours 1998-E; by Geological Survey of Canada; Geological Survey of Canada, Current Research no. 1998-E, 1998 p. 173-182, https://doi.org/10.4095/209963 Open Access |
Year | 1998 |
Publisher | Natural Resources Canada |
Document | serial |
Lang. | English |
Media | paper; on-line; digital |
Related | This publication is contained in Current research 1998-E
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File format | pdf |
Subjects | igneous and metamorphic petrology; Nature and Environment; analytical methods; grain size analysis; Plants |
Illustrations | analyses |
Released | 1998 10 01 |
Abstract | The behaviour and properties of particles is dependent upon their morphology, size, and size distribution. Particle morphology such as shape and texture can influence bulk physical properties. The
traditional method to determine particle size distribution of sediments and soils at the GSC (Sedimentology Laboratory) has been sieve and pipette analysis. Pipette analysis is a time-consuming method with a low turnover of samples. In 1990, a laser
particle-size analyzer was purchased to increase productivity. This study compares the laser particle-size analyzer to the classical pipette as an effective routine method for particle size analysis. Other instrumental methods employed in the GSC and
at another federal government department are also compared. The methods focus primarily on the composite analysis of fine-grained, amorphous Si materials (fly ash) from thermal electrical generating plants. The instrumental techniques offer
comparable grain size information to pipette analysis for the silt- and clay-size ranges. Thus, any one of these instrumental techniques can be recommended for grain size analysis of fine (silt and clay) particles. |
GEOSCAN ID | 209963 |
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