3D Image Analysis Systems

Versus Sieving

For particle size measurement

Sieving

Sieving is an ancient size measurement technique dating back to Roman times.

It has a number of disadvantages when compared to a modern 3D image analysis system.

• Sieves are 1 dimensional: i.e. only measure 1 parameter which is width/length in a specific orientation

• Results are also given in a single distribution of mass %

• Sieve analysis is time consuming – 15 to 30 minutes (Not including result calculation)

• Operator error is common with such a repetitive task

– Sieve fractions not being collected correctly

– Misweighing of size fractions

– Data transposition errors

– Miscalculating of size distribution

• Sieves are unreliable – worn sieves result in finer distributions

– Certification and/or replacement can be costly and is seldom done in the recommended time frame

3D Image Analysis

• 3D Image Analysis is a fast and efficient method of measuring particle size distribution, and has a number of key advantages over sieving.

• Huge range of particle sizes can be measured visually

– 4 microns up to well over 120mm

• Shape parameters are recorded in addition to size

– 32 different parameters recorded in total

– Previously run samples can be remeasured with different parameters

• 3D measurement gives length, width and thickness

• It is possible to do online analysis

• System is extremely reliable due to simple construction

• Slurries and wet suspensions are also able to be analysed

• Analysis is typically 5 to 10x faster than sieving

• Full automation ensures little to no operator error

• Automatic calibration is performed to ensure good results

• Every particle is measured separately

• Data is easily correlated and displayed as sieve fractions if required

• Data reporting can be customised for size and shape parameters, for example:

– Sintered pellets: Need sphericity in addition to size

– Granular fertiliser: Need sphericity and surface roughness in addition to size

– Reflective glass beads – Needs circularity, transparency, and curvature in addition to very accurate size classes.

Go to

www.impautomation.com

For more information