A novel reliable parametric model for predicting the nonlinear hysteresis phenomenon of composite magnetorheological fluid

• Published in: Smart materials and structures Vol. 34; no. 3; pp. 35060 - 35078
• Main Authors: Zhang, Guang, Luo, Jiahao, Sun, Min, Yu, Yang, Chen, Junyu, Wang, Jiong, Ouyang, Qing, Qiu, Ye, Chen, Guinan, Liu, Qianwei, Chen, Bo, Shen, Teng, Zhang, Zheng
• Format: Journal Article
• Language: English
• Published: IOP Publishing 01.03.2025
• Subjects: genetic algorithm; magnetorheological fluid; nonlinear hysteresis phenomenon; parameter identification; parametric model

Magnetorheological fluid (MRF), as a novel intelligent composite material, possesses unique controllable properties in the presence of a magnetic field, thereby opening up new possibilities for its engineering applications. This study proposes a novel parametric model to predict the nonlinear hyster...