Research on a Fractal Dimension Calculation Method for a Nano-Polymer Microspheres Dispersed System

Zhao, Wenyue and Yan, Jinming and Hou, Ganggang and Diwu, Pengxiang and Liu, Tongjing and Hou, Jirui and Li, Ruolin (2021) Research on a Fractal Dimension Calculation Method for a Nano-Polymer Microspheres Dispersed System. Frontiers in Chemistry, 9. ISSN 2296-2646

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Abstract

Polymer microspheres (PMs) are a kind of self-similar volume expansion particle, and their fractal dimension varies with hydration swelling. However, there is no unique fractal dimension calculation method for their characteristics. A new model is established in this paper, which is particular to calculate the fractal dimension of PMs. We carried out swelling hydration experiments and scanning electron microscope (SEM) experiments to verify the new model. The new model and the box-counting model were used to calculate the fractal dimensions of PMs based on the hydration experiment results. Then, a comparison of the calculation results of the two methods was used to verify the validity of the model. Finally, according to the new model calculation results, the fractal dimension characteristics of PMs were analyzed. The research results indicate that the new model successfully correlates the cumulative probability of the PMs dispersed system with the fractal dimension and makes fractal dimension calculation of PMs more accurate and convenient. Based on the experiment results, the new model was used to calculate the fractal dimension of PMs and the box-counting model, and its findings were all 2.638 at initial state hydration and 2.739 and 2.741 at hydration time as of day 1. This result verifies the correctness of the new model. According to the hydration swelling experiments and the new model calculation results, the fractal dimension is linear correlated to the average particle size of PMs and the standard deviation average particle size. This means the fractal dimension of PMs represents the space occupancy ability and space occupancy effectiveness.

Item Type: Article
Subjects: Euro Archives > Computer Science
Depositing User: Managing Editor
Date Deposited: 28 Jan 2023 04:23
Last Modified: 04 Mar 2024 03:35
URI: http://publish7promo.com/id/eprint/932

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