{"title":"A particle-level discrete element model for simulating the performance of MRFs","authors":"Keshun Qi, Nie Meng, Jinhuan Xu, Meixuan Wang","doi":"10.1177/1045389x241252294","DOIUrl":null,"url":null,"abstract":"The particle dynamics model of MRFs (MRFs) is based on the discrete element technique, which takes into account essential MRF variables such as magnetic field, particle parameters, particle volume fraction, carrier fluid properties, and other parameters. Firstly, to digitally characterize the microstructure of MRFs, the particle coordination number, as a new perspective is creatively proposed. The validity and predictability of the created model are then tested in conjunction with the rheological performance studies by comparing it to the known continuous medium model. Finally, based on the proposed model, the influence of each influencing factor on the magnetorheological effect is simulated and regularity analysis is given from the perspective of particles. Linking macroscopic qualities and MRF microstructure, which offers a theoretical basis for the preparation of MRFs with improved performance and prediction of performance under various working situations.","PeriodicalId":16121,"journal":{"name":"Journal of Intelligent Material Systems and Structures","volume":null,"pages":null},"PeriodicalIF":2.4000,"publicationDate":"2024-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Intelligent Material Systems and Structures","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1177/1045389x241252294","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
The particle dynamics model of MRFs (MRFs) is based on the discrete element technique, which takes into account essential MRF variables such as magnetic field, particle parameters, particle volume fraction, carrier fluid properties, and other parameters. Firstly, to digitally characterize the microstructure of MRFs, the particle coordination number, as a new perspective is creatively proposed. The validity and predictability of the created model are then tested in conjunction with the rheological performance studies by comparing it to the known continuous medium model. Finally, based on the proposed model, the influence of each influencing factor on the magnetorheological effect is simulated and regularity analysis is given from the perspective of particles. Linking macroscopic qualities and MRF microstructure, which offers a theoretical basis for the preparation of MRFs with improved performance and prediction of performance under various working situations.
期刊介绍:
The Journal of Intelligent Materials Systems and Structures is an international peer-reviewed journal that publishes the highest quality original research reporting the results of experimental or theoretical work on any aspect of intelligent materials systems and/or structures research also called smart structure, smart materials, active materials, adaptive structures and adaptive materials.