Based on the combination of fluid-solid interaction mechanism model and surrogate model for peristaltic pump performance analysis and multi-objective optimization design

The peristaltic pump is a high precision biomimetic pump widely used in the medical industry. However, the pump has flow pulsation, due to its special structure. The serious flow pulsation can dramatically reduce delivery accuracy and stability. Meanwhile, the service life of the peristaltic pump is affected by the conveying capacity. The flow pulsation degree and transportation capacity of the pump are affected by the structural parameters of its key components. An in-depth study of peristaltic pumps is necessary in order to reduce the degree of pulsation and increase service life. The paper skillfully combines the fluid-solid interaction (FSI) mechanism model with the surrogate model to deeply study the influence of key structural parameters of the peristaltic pump on its performance, and the multi-objective optimization design of the pump is carried out by using the multi-island genetic algorithm (MIGA). The results show that for the average flow, the hose inner diameter has the greatest influence, followed by the working circle diameter. The roller diameter has very little effect. The hose inner diameter and working circle diameter have a minor coupling effect on the roller diameter. It slightly affects the trend of the average flow rate with the roller diameter. The hose inner diameter also has a slight coupling effect on the working circle diameter. For the instantaneous flow rate percentage, the effects of all three key parameters are significant. The hose inner diameter has an obvious coupling effect on the working circle diameter and the roller diameter, which affects the trend of the instantaneous flow rate percentage with the working circle diameter and the roller diameter. The optimized pump has a 43.3% decrease in the percentage of flow rate and a 59.6% increase in the average flow rate, indicating significant improvements in transport stability and capacity.