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- W4385489810 abstract "Peristaltic pump is widely used in pharmaceutical, medical and other industries because of its advantages of no pollution and high transmission accuracy. The fluid medium is conveyed by the rollers alternately squeezing and relaxing the hose, so when the rollers away from the hose as the rebound of the hose will cause the backflow of liquid, thus forming the flow pulsation. The more serious the flow pulsation, the more difficult it is to control the output flow, the peristaltic pump flow pulsation reduction is of great importance for the improvement of its transmission accuracy. For exploration and optimization of mechanism design, a response surface methodology (RSM) model based mechanism optimization method is proposed. Two peristaltic pump parameters were chosen as the primary design variables for the surrogate model, with the objective of minimizing the instantaneous flow ratio of the peristaltic pump flow curve. With the two design variables, Optimal Latin hypercube sampling (OLHS) based design of experiments (DoE) were carried out, with which different Fluid-Structure-Interaction (FSI) numerical model were developed to calculate the instantaneous flow rate ratio the Peristaltic pump flow curve, thereby the RSM model was constructed to establish the relationship between the design variables and the flow pulsation performance. Based on the RSM model, Peristaltic pump design optimization was performed with the help of genetic algorithm (GA). Finally, a peristaltic pump design scheme that may effectively lessen the flow pulsation was obtained. To verify the results, another simulation was performed and compared the results with those generated by the optimization, achieving good agreement and demonstrating the feasibility of an optimal design approach." @default.
- W4385489810 created "2023-08-03" @default.
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- W4385489810 date "2023-01-01" @default.
- W4385489810 modified "2023-09-27" @default.
- W4385489810 title "Flow Pulsation Optimization of Peristaltic Pump Based on Surrogate Model" @default.
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- W4385489810 doi "https://doi.org/10.1007/978-981-99-4334-0_8" @default.
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