Development of a Powder Analysis Procedure Based on Imaging Techniques for Examining Aggregation and Segregation...

Area of Science:

• Materials Science
• Chemical Engineering
• Image Analysis

Background:

• Accurate particle size distribution (PSD) is critical for powder manufacturing.
• Conventional PSD methods may miss subtle aggregation and segregation issues.
• Quality control in pharmaceuticals and manufacturing requires robust validation techniques.

Purpose of the Study:

• To present a novel image-based method for validating particle size distribution.
• To assess particle aggregation and segregation using classical image techniques.
• To offer a supplementary tool for powder production quality control.

Main Methods:

• Acquisition of high-resolution particle images.
• Application of fractal analysis to quantify structural complexity and self-similarity.
• Utilization of textural analysis to characterize spatial patterns and correlations.

Main Results:

• Fractal and textural analysis provide quantitative measures of particle aggregation and segregation.
• The image-based method enhances the reliability and accuracy of PSD validation.
• Identified irregularities and anomalies not detectable by traditional methods alone.

Conclusions:

• Image analysis combining fractal and textural approaches offers a powerful supplementary tool for PSD validation.
• This methodology improves quality control in powder production processes.
• The technique provides deeper insights into particle arrangement and organization.