Optimization design of RFD set based on Genetic Algorithm

RFD (Reverse flow divert) set is a kind of maintenance-free delivery system driving by compress-air. It intermittently discharges through its delivery pipe. Without moving part, the optimized design of RFD set is a critical technical for efficient and stable operation. The deficiencies of traditional enumeration algorithms and marginal utility method have been indicated. Then, as the main point of the paper, Genetic Algorithm is discussed to solve the multi-objective and multidimensional optimization problem. By comparing the results of the three optimization methods, we can have the superiority of GA. Based on the needs of flow and head in industry, serial design of RFD has been made by using GA, thus the relationships of the structural parameters and operational parameters have been analyzed. The conversion relationship between different density and viscosity in average flow has been provided, which will be beneficial for the RFD set design in industry.