A bead random generation method revealing structure-function relation of magnetorheological fluids with arbitrary morphology particles
Year: 2025
Type: article
Abstract: The structure-function relation is crucial for guiding the preparation of magnetic intelligent materials with arbitrary particle morphologies. However, from the experiment aspect, it’s difficult and inefficient to reveal this relationship considering the experiment scale and the randomness of particle preparation. Here we propose a multiscale computational method through the super-ellipsoid morphology constraint equation and bead random generation method, ensuring the force-magnet coupling simulation for arbitrary particle morphologies. The mechanical behaviors, including magnetic-induced stress, dynamic response and anti-settlement, are systematically calculated and comprehensively analyzed. The derived morphology constraint dimensionless numbers exhibit a strong correlation with the particle interactions, revealing the structure-function relation between mechanical behaviors and particle morphologies. Controlling the dimension of the particles is effective in optimizing the specific mechanical property, which is attributed to the varied stress distributions related to the ratios of long axis to intermediate and short axis. This work develops an accurate and efficient computational method for the structure-function relation and affords deep insight into the interactions resulting from morphologies, which exhibits the huge potential to accelerate customized materials design for next-generation magnetic intelligent materials.
Source: Physics of Fluids
DOI: 10.1063/5.0260409
Authors: Kang Wang, Bing Liu, Yunqi Xu, Huaxia Deng, Xinglong Gong
Language: English
Subfield: Civil and Structural Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4409567038