Optimal Design of Magnetorheological Fluid Damper Based on Response Surface Method

摘要: A B S T R C In this research, the effect of shape parameters such as number magnet wire turns, spools, thickness gap, and pole length in a Magnetorheological (MR) fluid damper is analytically investigated optimization these done with response surface method (RSM) which combined Neuro-Fuzzy Particle Swarm Optimization (PSO) algorithm. Since electromagnetic mechanical components have direct on electrical power consumption, time delay, damped force that are considered objective functions. Because nonlinear behavior components, robust approach needed to predict their reactions; therefore, utilized generate high accurate PSO finds optimum solution base surface. The sensitive analysis also performed examine variation functions various input parameters. process, best obtained by overtaking appropriate value results demonstrate MR has provided configurations, so damps maximum minimum lowest consumption. On other hand, amplitude vibrations significantly decreased presence optimized damper. doi: 10.5829/idosi.ije.2015.28.09c.14