IMECH-IR  > 超常环境非线性力学全国重点实验室
A bead random generation method revealing structure-function relation of magnetorheological fluids with arbitrary morphology particles
Wang, Kang1; Liu, Bing1; Xu, Yunqi1; Deng HX(邓华夏)1,2; Gong, Xinglong1,3
Corresponding AuthorDeng, Huaxia(hxdeng@ustc.edu.cn) ; Gong, Xinglong(gongxl@ustc.edu.cn)
Source PublicationPHYSICS OF FLUIDS
2025-04-01
Volume37Issue:4Pages:15
ISSN1070-6631
AbstractThe structure-function relation is crucial for guiding the preparation of magnetic intelligent materials with arbitrary particle morphologies. However, from the experimental perspective, it is both challenging and inefficient to elucidate this relationship, given the experimental scale and the randomness of particle preparation. Here, we propose a multiscale computational method through the superellipsoid morphology constraint equation and bead random generation method, ensuring the force-magnet coupling simulation for arbitrary particle morphologies with an error of only 2.24 %. 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 particle interactions, thereby revealing the structure-function relation between mechanical behaviors and particle morphologies. This work develops an accurate and efficient computational method for investigating the structure-function relation and provides deep insights into morphology-induced interactions, demonstrating significant potential to accelerate customized material design for next-generation magnetic intelligent materials.
DOI10.1063/5.0260409
Indexed BySCI ; EI
Language英语
WOS IDWOS:001470466700006
WOS KeywordNANOPARTICLES ; SUSPENSIONS ; RHEOLOGY ; MODEL
WOS Research AreaMechanics ; Physics
WOS SubjectMechanics ; Physics, Fluids & Plasmas
Funding ProjectNational Natural Science Foundation of China10.13039/501100001809[12372187] ; National Natural Science Foundation of China10.13039/501100001809[12302250] ; National Natural Science Foundation of China10.13039/501100001809[12132016] ; National Natural Science Foundation of China10.13039/501100001809[12427802] ; National Natural Science Foundation of China10.13039/501100001809[52321003] ; National Natural Science Foundation of China[2023M733388] ; Fellowship of China Postdoctoral Science Foundation[WK2480000010] ; Fundamental Research Funds for the Central Universities[KJ2090007006] ; CAS Talent Introduction Program[GXXT-2023-024] ; University Synergy Innovation Program of Anhui Province
Funding OrganizationNational Natural Science Foundation of China10.13039/501100001809 ; National Natural Science Foundation of China ; Fellowship of China Postdoctoral Science Foundation ; Fundamental Research Funds for the Central Universities ; CAS Talent Introduction Program ; University Synergy Innovation Program of Anhui Province
Classification一类/力学重要期刊
Ranking1
Contributor邓华夏,Gong, Xinglong
Citation statistics
Document Type期刊论文
Identifierhttp://dspace.imech.ac.cn/handle/311007/101080
Collection超常环境非线性力学全国重点实验室
Affiliation1.Univ Sci & Technol China, Dept Modern Mech, CAS Key Lab Mech Behav & Design Mat, Hefei 230027, Anhui, Peoples R China;
2.Chinese Acad Sci, State Key Lab Nonlinear Mech, Beijing 100190, Peoples R China;
3.Univ Sci & Technol China, State Key Lab Fire Sci, Hefei 230027, Anhui, Peoples R China
Recommended Citation
GB/T 7714
Wang, Kang,Liu, Bing,Xu, Yunqi,et al. A bead random generation method revealing structure-function relation of magnetorheological fluids with arbitrary morphology particles[J]. PHYSICS OF FLUIDS,2025,37,4,:15.
APA Wang, Kang,Liu, Bing,Xu, Yunqi,邓华夏,&Gong, Xinglong.(2025).A bead random generation method revealing structure-function relation of magnetorheological fluids with arbitrary morphology particles.PHYSICS OF FLUIDS,37(4),15.
MLA Wang, Kang,et al."A bead random generation method revealing structure-function relation of magnetorheological fluids with arbitrary morphology particles".PHYSICS OF FLUIDS 37.4(2025):15.
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