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Reversed Flow Diverter (RFD) is a type of maintenance-free device which is applied in pumping and delivering hazardous fluid by using fluidic power. Because of including no moving parts, the operating efficiency and characteristics of RFD are  especially sensitive to the structure and operating parameters of the device. This paper presents an optimization design method of RFD based on Genetic Algorithm (GA). System scale and efficiency have been both considered by designing specific fitness function. Based on serialized optimum designs, an example of RFD model spectrum is promoted. Our customers can easily choose a proper type of RFD according to certain flow and head as well as predict the operating of RFD. In the end, the paper discusses the influence of physical characteristics of the delivered fluid. The conversion method of operating flow and efficiency of RFD system is studied.

RFD; optimization design; operating prediction; model spectrum; genetic algorithm