4.6 Article

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

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Publisher

ELSEVIER
DOI: 10.1016/j.physa.2021.126219

Keywords

Multifractal analysis; Information dimension; Material texture; Aggregate; Particle distribution; Image analysis

Funding

  1. TOKYO CITY UNIVERSITY Interdisciplinary Research Centre for Nano Science and Technology

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This study conducted a multifractal analysis on the particle dispersion state of self-assembled aggregates to understand their distribution and morphology, and compared the results with sintered samples. It was found that the dispersion state of the sintered sample changed similarly to the simulation, confirming the validity of using simulation results as reference for distribution state. These findings should contribute to the development of improved functional composite materials.
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. (C) 2021 Elsevier B.V. All rights reserved.

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