A particle shape-based segmentation method to characterize spray dried materials by X-Ray microtomography--颗粒学报PARTICUOLOGY

Ruprecht, N. A., Teichmann, H., & Kohlus, R. (2023). A particle shape-based segmentation method to characterize spray dried materials by X-Ray microtomography. Particuology, 81, 119-127. https://doi.org/10.1016/j.partic.2022.12.017

A particle shape-based segmentation method to characterize spray dried materials by X-Ray microtomography

Nora Alina Ruprecht ^*, Heike Teichmann, Reinhard Kohlus

University of Hohenheim, Institute of Food Science and Biotechnology, Department of Process Engineering and Food Powders, Garbenstr. 25, 70599, Stuttgart, Germany

10.1016/j.partic.2022.12.017

Volume 81, October 2023, Pages 119-127

Received 9 November 2022, Revised 24 December 2022, Accepted 24 December 2022, Available online 13 January 2023, Version of Record 21 January 2023.

E-mail: nora.ruprecht@uni-hohenheim.de

Highlights

• Porosity of spray dried particles needs to be expressed as a distributed parameter.

• New segmentation algorithm for X-Ray microtomography images is introduced and validated successfully.

• Knowledge based algorithm with 2D classification and 3D reconstitution.

• Algorithm is superior to standard methods if particle size distribution is broad.

Abstract

For accurate description of particle structure, single particle properties are required so that the properties of interest can be expressed as distributed parameters. X-Ray microtomography of the powder bed with subsequent particle separation can be used for this purpose. In this paper, a new algorithm for X-Ray microtomography images of spray dried particles was introduced since standard methods tend to fail if the particle size distribution is broad. The algorithm is based on 2D shape classification and subsequent 3D reconstitution of the particle using only a shape classifier as free parameter. The proposed algorithm was validated successfully. Using the algorithm, single particle porosities were obtained, which ranged from 0 to 70%. Prerequisites for the application of the algorithm are that a shape classifier can be set and that the 3D shape is regular.

Graphical abstract

Keywords

Spray drying; Particle structure; X-Ray microtomography; Segmentation algorithm; Porosity distribution

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