Numerical Simulation and Performance Analysis of Magnetorheological Dampers Using BPP and HBP Models With Particle Swarm Optimization

Abstract

To improve the accuracy of expressing the rheological characteristics of magnetorheological fluids (MRFs) using traditional constitutive models, rheological tests were performed with an MCR302 rheometer under varying magnetic fields. Parameters for both the Bingham-plastic-Papanastasiou (BPP) and Herschel-Bulkley–Papanastasiou (HBP) models were identified using particle swarm optimization (PSO). A simulation model was then developed to numerically simulate the dynamic behavior of magnetorheological (MR) dampers. Following this, a physical damper was designed, fabricated, and tested on a damping force platform. Comparisons between experimental and simulation data revealed that the HBP model more accurately captures the rheological properties of the MRF. While both models predict flow velocity effectively, the HBP model yields damper dynamic characteristic predictions that align more closely with experimental observations, particularly in terms of damping force. These findings underscore the HBP Model’s high accuracy and practical applicability in modeling MRFs, offering valuable insights for the selection of constitutive models in vibration control applications.