Abstract:The wear of solid particles is a major concern in the fluid transporting field, which affects the efficiency or even causes safety problems like abrupt failure. Wear damages within jet pumps and other fluid equipments are prevalent in the process industries where sands are found, such as the deep well jet pump device, especially the suction chamber around its nozzle. To mitigate the wear, the anti-wear performance of the jet pump is optimized. For saving the cost of material wear test, a prediction method through combining a wear map of specific material(316L stainless steel)and numerical simulation results were proposed. Then three parameters(nozzle angle, area ratio and nozzle exit dia-meter)were chosen to be optimized, following Plackett-Burman experimental design. After that, the optimal combination of parameters was obtained from the multi-objective optimization(high efficiency and low erosion rate)through D-optimal factorial design experiments. The results show that the new model provides a wear reduction and is validated by the test. According to the observations of nozzle wear scars by scanning electron microscopy(SEM), the conclusion is consistent with the results of numerical simulation analysis.〓