粒度表征
Seasons Greetings from your friends at HORIBA Instruments
Our December newsletter welcomes you to read our new application note on characterizing sand using dynamic image analysis, download a technical note explaining the difference between number and volume based distributions, and view a technical note investigating how many particles should be inspected to ensure accurate results when using static image analysis.
Characterizing Sand
Sand is loose rock material of a grain size between 63 μm and 2 mm. Sand grading and performance is closely related to particle size and shape. The CAMSIZER dynamic image analysis system is successfully replacing traditional sieve analysis in sand processing plants around the world. Learn how CAMSIZER data can be correlated to sieve results and provide additional information on particle size and morphology.
Application Note AN173 on Particle Size and Shape Analysis of Sand Using Digital Image Analysis (You need to be logged in).
Number vs. Volume Distributions
Interpreting the results of a particle size measurement requires some understanding of the technique used and the basis of the calculations. The particle size distribution of any sample can be calculated based on several models: most often as a number or volume/mass distribution. Image analysis generates primary results based on number distributions. Laser diffraction instruments like the LA-950 generate primary results based on a volume distribution. This technical note explains the difference between particle size distributions based on number or volume and shows several examples to help visualize the difference.
Technical Note TN154 on Particle Size Result Interpretation: Number vs. Volume Distributions (You need to be logged in).
Effect of Sample Size when using Image Analysis
The number of particles inspected (counted) must be sufficient when using image analysis so that there is confidence in the results generated. If all of the particles in a sample are a single size, then only a single particle needs to be measured. But if the sample has a broad distribution then it is intuitively obvious that many particles should be measured. Several approaches have been suggested for determining the minimum number of particle counted in order to achieve desired confidence levels. This study reviews two standards that set the number of particles counted and compares these to experimental results.
Technical Note TN155 on The Effect of Sample Size when using Static Image Analysis (You need to be logged in).
HORIBA and the Environment
Since 1999, HORIBA has been publishing the Gaiareport as an annual environmental and corporate social responsibility report. Beginning with the 2007 edition, HORIBA began including additional details on the previous year's activities of our group companies while expanding our effort to communicate with our stakeholders. In an effort to further improve the social aspect of this publication, this edition of the Gaiareport serves as our social and environmental report on the HORIBA Group’s detailed initiatives for a sustainable society.
View the Gaiareport 2007, HORIBA/Social and Environmental Report.
Upcoming Customer Training Courses
The HORIBA Particle Characterization Group has been steadily expanding our offering of customer training courses. The next laser diffraction (LA-series instruments) training course will be held in Irvine, California on February 10-11.
Information on "Boot Camp" customer training course registration.