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Related Concept Videos

Pore Size Distribution01:23

Pore Size Distribution

In concrete, the pore size distribution significantly influences the material's properties. Capillary pores, markedly larger than gel pores, form a vast network within partially hydrated cement paste, reducing the concrete's strength and increasing its permeability. This heightened permeability leads to a greater risk of damage from environmental factors like freeze-thaw cycles and chemical attacks, with the extent of vulnerability also being tied to the water-to-cement ratio.
Adequate...

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A Novel image processing technique for weighted particle size distribution assessment.

Pierre-Luc Latreille1, Ajay Babu Pazhayattil2, Sam Turner3

  • 1Faculty of Pharmacy, Université de Montréal, Montréal, Québec, Canada.

Drug Development and Industrial Pharmacy
|May 24, 2024
PubMed
Summary

This study presents a rapid, cost-effective ImageJ method for analyzing powder particle size distribution (PSD) in manufacturing. The technique accurately assesses blend uniformity and material morphology, surpassing traditional sieve analysis limitations.

Keywords:
Characterizationformulationparticle size distributionpowder blendtest method

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Area of Science:

  • Materials Science
  • Chemical Engineering
  • Pharmaceutical Sciences

Background:

  • Traditional particle size distribution (PSD) analysis methods like sieve analysis have limitations in real-world manufacturing settings.
  • Accurate PSD assessment is crucial for ensuring product quality, uniformity, and process control in various industries.
  • Existing methods may be time-consuming, costly, or lack the precision needed for complex formulation blends.

Purpose of the Study:

  • To develop and validate a reliable, practical, and cost-effective method for evaluating particle size distribution (PSD) in real-world manufacturing scenarios.
  • To assess the uniformity and quality of powder samples and pre-mixes, including typical formulation blends.
  • To create a method easily integrated into manufacturing processes for continual monitoring and quality assurance.

Main Methods:

  • Utilized ImageJ software for analyzing microscopy images to determine particle size distribution (PSD).
  • Quantified parameters including average diameter, D10, D50, D90, and standard deviation from captured images.
  • Tested the method across diverse sample types, including typical formulation blends, under various conditions.

Main Results:

  • The ImageJ-based method successfully differentiated outcomes across various treatments and sample types.
  • Demonstrated the capability to accurately assess material morphology changes during batch manufacturing and characterize blend uniformity.
  • Provided qualitative and quantitative data, offering a rapid and cost-effective alternative to sieve analysis.

Conclusions:

  • The developed ImageJ technique offers a reliable and efficient solution for particle size distribution (PSD) analysis in manufacturing.
  • This methodology effectively monitors critical PSD attributes, ensuring material quality and blend uniformity.
  • The technique holds significant potential for material science, powder rheology, pharmaceutical development, and process monitoring.