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Measurement method comparison

Correlating Sieve and Dynamic Image Analysis

Sieve analysis and dynamic image analysis can produce related results when their size definitions and reporting basis are aligned. Particle geometry and orientation influence whether that relationship remains useful across a product range.

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Can a fixed conversion factor always replace sieve analysis?

No. Correlation depends on the material and measurement definitions. Establish the relationship over the intended product range before changing a quality-control method.

Image-based particle width is often a relevant starting point for sieve comparisons, but a single shift factor need not describe every shape or distribution. Use representative material and examine both narrow fractions and the intended working range before transferring acceptance criteria to another method.

Which image dimension should be compared with sieve passage?

Start with image width when width limits passage through a sieve. Compare paired results for representative narrow fractions and for the broader production distribution. Preserve the sieve aperture, image parameter and weighting with each comparison.

Method details to record

Correlating Sieve and Dynamic Image Analysis: method checklist
ConsiderationWhat to record
Comparison definitionSieve fraction and image-size parameter
Material rangeShape and distribution variation
Transfer evidenceRepresentative paired measurements

When should a conversion be rechecked?

Recheck the relationship when particle shape or the distribution changes. A factor derived from one product grade can misrepresent another if elongated and compact particles pass through the apertures differently.

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