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Inline high frequency ultrasonic particle sizer.

F Lefebvre¹, J Petit, G Nassar

¹IEMN, UMR8520 Département d'Opto-Acousto-Electronique, Université de Valenciennes, LeMont Houy, 59313 Valenciennes Cedex, France.

The Review of Scientific Instruments

|August 2, 2013

Summary

This summary is machine-generated.

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A novel ultrasonic method enables particle size analysis in opaque liquids without sample preparation. This technique accurately measures particle size distribution and detects aggregate formation in real-time.

Area of Science:

Materials Science
Acoustics
Chemical Engineering

Background:

Traditional particle sizing methods often struggle with opaque liquids, requiring extensive sample preparation.
Optical sizing techniques are limited to transparent media, hindering analysis in many industrial and biological applications.
There is a need for non-invasive, real-time particle characterization in complex liquid suspensions.

Purpose of the Study:

To develop and validate a new particle sizing method utilizing high-frequency focused ultrasound.
To demonstrate the capability of ultrasonic measurements in opaque liquids without sample preparation.
To assess the method's performance in real-time detection of particle aggregation.

Main Methods:

Employing high-frequency focused ultrasound to detect particles passing through a sensor's focal zone.

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Analyzing reflected ultrasonic echoes to determine particle size distribution.

Validating measurements using polymethyl methacrylate (PMMA) beads across a wide size range (micrometer to hundreds of micrometers).

Main Results:

Successful particle size distribution determination for PMMA beads from a few micrometers to several hundred micrometers.
Achieved a temporal resolution of 1 second for measurements.
Demonstrated inline detection and monitoring of aggregate formation in suspensions.

Conclusions:

The developed ultrasonic method offers a significant advantage over optical techniques for particle sizing in opaque liquids.
The technique allows for non-invasive, real-time analysis without the need for sample preparation.
This method holds potential for inline process monitoring and quality control in various industries.