Design and shape optimization of MR brakes using Nelder–Mead optimization algorithm

Abstract

Magnetorheological (MR) brakes have attracted many attentions for controlling mechanical systems such as robots, e-bicycles, and haptic devices. A large number of researchers have delved into enhancing MR brake effectiveness. Herein, a new MR brake is proposed in which the braking torque is improved and the configuration is simplified. Numerical simulations were based on finite element method (FEM) was employed to achieve the brake model. In order to verify the obtained results, they were compared with the available ones in the literature and they have a good agreement with each other. Then, the proper brake model was optimized using Nelder–Mead optimization algorithm. Results demonstrated 215.75 N m braking torque in the present prototype which is almost 73% higher than the previous model in the literature. In addition, the brake could induce about 125.06 N m torque on the brake disk with nearly half of the coil current used in the previous work. Besides, increase in the number of the disks was not necessarily improved braking efficiency and the size of the MR fluid gaps also influenced the brake operation. In addition, the proposed model in this paper has ease manufacturing procedure which would reduce the fabrication costs.

A Review on Structural Configurations of Magnetorheological Fluid Based Devices Reported in 2018–2020

“…A brake is a device with the function of making moving parts (or moving machinery) slow down, stop or maintain the stopped state, which is widely used in lifting transportation equipment, mining equipment, construction engineering equipment, and marine ship equipment. Increasing brake torque, eliminating hysteresis time, optimizing device volume and weight, and reducing energy consumption are the main directions of developing new MRF brakes (Bazargan-Lari, 2019;Zhu et al, 2019). Some MRF brakes reported from 2018 to 2020 are summarized in Table 1.…”

MR Damper Modeling using Gaussian and Generalized Bell of ANFIS Algorithm

“…Then, the consequent parameters in the fourth layer are represented only by the value of 𝑠𝑠1 (𝑔𝑔𝑝𝑝 = 𝑠𝑠𝑝𝑝). So, the final output from the fourth layer can be written as Equation (7),…”

“…It consists of three main parts 6) , namely soft magnetic particles (Fe3O4, Fe3 , Fe, or Co), carrier fluid or a soft magnetic particle suspension medium (synthetic oil or water and mineral oil), and the last is additives (a dispersant or an anti-sedimentation agent). MRFs are used in various mechanical system devices such as dampers, brakes, clutches, hydraulic valves, polishing devices 7) , or semi-active vibration isolation 8) . This fluid is referred to as a Non-Newtonian fluid when the magnetic field is applied.…”

Application of the Taguchi method to determine optimized parameters for designing brake of hand winch

“…The study in [4] presented calculations to optimize the winch load, proposed for different modes of use. Studies on magnetic rheological braking systems are presented in [5], where the braking torque is improved and the configuration is simplified. Multi-objective optimization design of electromechanical brake parameters is also proposed in [6] to improve braking performance.…”