Quantitative evaluation of morphological characteristics of self-assembled aggregates using multifractal analysis

Yoshihiro Sato, Yuka Mizukami, Mariko Takeda, Kazuya Okubo, Ryota Kobayashi and Fumio Munakata

Physica A: Statistical Mechanics and its Applications, 2021, vol. 581, issue C

Abstract: With respect to the design and development of functional composite materials, which have garnered significant attention, it is important to understand the dispersion state of the filler material used. In this study, to understand the particle dispersion state of the self-assembled aggregates, a multifractal analysis was performed on images that simulated the aggregate distribution and morphology. The results were then compared with those of the sintered samples. The results demonstrated that the dispersion state of the sintered sample changed in a similar way to those of simulation. Therefore, it was confirmed that the simulation result can be used as a reference for the distributed state. The proposed method and results obtained should aid in the development of improved functional composite materials.

Keywords: Multifractal analysis; Information dimension; Material texture; Aggregate; Particle distribution; Image analysis (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:581:y:2021:i:c:s0378437121004921

DOI: 10.1016/j.physa.2021.126219

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