In this manuscript, a method that utilizes classical image techniques to assess particle aggregation and segregation, with the primary goal of validating particle size distribution determined by conventional methods, is presented. This approach can represent a supplementary tool in quality control systems for powder production processes in industries such as manufacturing and pharmaceuticals. The methodology involves the acquisition of high-resolution images, followed by their fractal and textural analysis. Fractal analysis plays a crucial role by quantitatively measuring the complexity and self-similarity of particle structures. This approach allows for the numerical evaluation of aggregation and segregation phenomena, providing valuable insights into the underlying mechanisms at play. Textural analysis contributes to the characterization of patterns and spatial correlations observed in particle images. The examination of textural features offers an additional understanding of particle arrangement and organization. Consequently, it aids in validating the accuracy of particle size distribution measurements. To this end, by incorporating fractal and structural analysis, a methodology that enhances the reliability and accuracy of particle size distribution validation is obtained. It enables the identification of irregularities, anomalies, and subtle variations in particle arrangements that might not be detected by traditional measurement techniques alone.

Development of a powder analysis procedure based on imaging techniques for examining aggregation and segregation phenomena / Bonifazi, Giuseppe; Barontini, Paolo; Gasbarrone, Riccardo; Gattabria, Davide; Serranti, Silvia. - In: JOURNAL OF IMAGING. - ISSN 2313-433X. - 10:3(2024), pp. 1-26. [10.3390/jimaging10030053]

Development of a powder analysis procedure based on imaging techniques for examining aggregation and segregation phenomena

Bonifazi, Giuseppe
;
Gasbarrone, Riccardo;Gattabria, Davide;Serranti, Silvia
2024

Abstract

In this manuscript, a method that utilizes classical image techniques to assess particle aggregation and segregation, with the primary goal of validating particle size distribution determined by conventional methods, is presented. This approach can represent a supplementary tool in quality control systems for powder production processes in industries such as manufacturing and pharmaceuticals. The methodology involves the acquisition of high-resolution images, followed by their fractal and textural analysis. Fractal analysis plays a crucial role by quantitatively measuring the complexity and self-similarity of particle structures. This approach allows for the numerical evaluation of aggregation and segregation phenomena, providing valuable insights into the underlying mechanisms at play. Textural analysis contributes to the characterization of patterns and spatial correlations observed in particle images. The examination of textural features offers an additional understanding of particle arrangement and organization. Consequently, it aids in validating the accuracy of particle size distribution measurements. To this end, by incorporating fractal and structural analysis, a methodology that enhances the reliability and accuracy of particle size distribution validation is obtained. It enables the identification of irregularities, anomalies, and subtle variations in particle arrangements that might not be detected by traditional measurement techniques alone.
2024
powder; image analysis; fractal dimension; segregation; aggregation; particles; quality control
01 Pubblicazione su rivista::01a Articolo in rivista
Development of a powder analysis procedure based on imaging techniques for examining aggregation and segregation phenomena / Bonifazi, Giuseppe; Barontini, Paolo; Gasbarrone, Riccardo; Gattabria, Davide; Serranti, Silvia. - In: JOURNAL OF IMAGING. - ISSN 2313-433X. - 10:3(2024), pp. 1-26. [10.3390/jimaging10030053]
File allegati a questo prodotto
File Dimensione Formato  
Bonifazi_Development of a Powder_2024.pdf

accesso aperto

Note: Published article
Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Creative commons
Dimensione 744.97 kB
Formato Adobe PDF
744.97 kB Adobe PDF

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1703243
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
social impact