Abstract: Visualization the characteristics of blood flow in the human body is essential for accurate diagnosis of cardiovascular diseases, analysis of pathological mechanisms and optimization of treatment options. However, traditional medical methods struggle to directly observe blood flow states and the quantitative assessment of the coupling effect of blood components is insufficient. In this paper, we propose a blood flow simulation method based on a multi-component non-Newtonian fluid mixing model. Firstly, the Walburn-Schneck model is employed to describe the viscosity of non-Newtonian fluids; secondly, by introducing volume fractions, the Walburn-Schneck model is extended to multi-component application scenarios, which accurately simulates the interaction mechanism between different components and achieves the accurate extension and flow effects simulation of multi-component non-Newtonian fluids; finally, a solid-liquid interaction force model at the blood vessel wall is constructed, and the improved solid-liquid interaction force model is used. Finally, the solid-liquid force model is constructed at the vessel wall, and an improved smoothed particle hydrodynamics (SPH) method is used to model wall shear stress and adhesive forces, correcting calculation errors in fluid simulation near the fluid-solid boundary caused by particle truncation. The experimental results show that the method can effectively capture the shear rate dependence of non-Newtonian fluids and the mixing-diffusion behavior of multi-components, restoring blood flow states in complex vascular structures better than traditional models. The research results provide a new technical pathway for digital and intelligent medical diagnosis, holding promise to assist in deepening the understanding of pathological mechanisms related to hemodynamic abnormalities.