In this paper, a magnetorheological (MR) damper with multiple axial fluid flow channels is developed to solve the conflicts between limitation of size dimension and improvement of damping performance. By setting symmetrical excitation coils at both ends of the MR damper, the effective fluid flow channels of the proposed MR damper are significantly lengthened. In order to investigate the distributions of magnetic flux lines and magnetic flux density of the MR damper, the finite element model of the MR damper is established by using ANSYS software. Moreover, an optimization method combining BP neural network and particle swarm optimization (PSO) is proposed to improve the magnetic field utilization of the designed damper, and the damping performances of initial and optimal MR dampers are also experimentally tested. The test results show that the output damping force of initial and optimal MR dampers is 3.13 kN and 5.98 kN respectively under the applied current of 1.8 A, increasing by 91.1%, and the dynamic adjustable range is 11.5 and 16.1 respectively, increasing by 40.0%. It is found that the damping performance of the proposed MR damper is significantly improved.

中文翻译：

---

基于BP神经网络和粒子群优化方法的多轴向流体流道磁流变阻尼器优化设计

在本文中，为了解决尺寸尺寸限制和阻尼性能改进之间的冲突，开发了一种具有多个轴向流体流动通道的磁流变（MR）阻尼器。通过在 MR 阻尼器的两端设置对称的励磁线圈，所提出的 MR 阻尼器的有效流体流动通道显着延长。为了研究磁流变阻尼器的磁通线分布和磁通密度，利用ANSYS软件建立了磁流变阻尼器的有限元模型。此外，提出了一种结合BP神经网络和粒子群优化（PSO）的优化方法来提高设计阻尼器的磁场利用率，并对初始和最优MR阻尼器的阻尼性能进行了实验测试。测试结果表明，在1.8 A的施加电流下，初始和最优MR阻尼器的输出阻尼力分别为3.13 kN和5.98 kN，增加了91.1%，动态可调范围分别为11.5和16.1，增加了40.0% . 结果表明，所提出的 MR 阻尼器的阻尼性能得到了显着提高。