Abstarct: Magnetorheological Fluid (MRF) is a smart material that made by dispersion of magnetizable particles in a baxse fluid. Because of controllable yield stress and viscosity, there are many applications for MRFs. Some of the applications are in dampers, clutches, medical equipments and stuff. Most of researches in MRF field are including experimental tests, but expensive materials and tools are problem of this kind of researches. In other hand, analytical models can’t present complete and closed answer. Moreover, structural information helps us to know better this material but both of those models can’t present any information about that. The particle-baxsed methods can introduce useful structural information. One of these methods is Dissipative Particle Dynamics (DPD), that model fluid by special forces. DPD is a coarse grained method proportion to molecular dynamics (MD), and that is a meso-scale method. Polymers, multiphase fluids, bio and suspensions are some of applications of DPD method. In the present study, the behavior of magnetorhological fluid is modeled by dissipative particle dynamics method. For modeling of baxse fluid the forces of DPD and for modeling of magnetic particles, particle magnetization model are used. The interaction between DPD particles and magnetic particles is modeled by Lennard-Jones potential. The MRF is simulated under simple shear flow by Lees-Edwards boundary condition. The velocity profile in transmit mode from solid to fluid is presented for the first time. The properties of the fluid are achieved by the tensor of stress. The effects of volume fraction and magnetization of magnetic particles are obtained, growth of these parameters increase the viscosity of the MRF. The effect of viscosity of baxse fluid is investigated, too. Furthermore approved proposal, the fluid in flow mode is modeled by periodic Poiseuille flow (PPF). In addition, the mixed-mode is showed by mixing simple shear flow and Poiseuille flow. The result of simulations are according to the past researches.