چكيده به لاتين
Inducers are important devices that are installed in inlet of the main impeller that rotating by impeller rotational velocity to achieve higher pump suction performance. Inducers can increase the inlet pressure to the impellers, thus enhancement the turbopump performance and by increasing pressure decrease cavitation, this improves pump performance and pump life. Considering the importance of this issue, we have reviewed the performance of the Inducer. In the present work, the numerical simulation of an inducer under two modes of cavitation and non-covariance is carried out in a three-dimensional using computational fluid dynamics, and its results are compared with experimental data, which discrepancy is very a little. In non-cavitation mode, discrepancy with was less than 2% and in cavitation mode, there were about 3% errors in comparison to the experimental data. This difference will be due to mechanical loses and tip clearance of the blade. In this study, firstly, the parameters affecting the inducer include the effect of tip clearance, rotational velocity, fluid temperature, parameters of the cavitation model, inlet blade angle and slip of the inducer under the cavitation / non-cavitation conditions. The results showed that by a decrease tip clearance, the pump performance improved under non-cavitation conditions, but in cavitation conditions it accelerated the appearance of bubbles. It is also important to note that with increasing temperature, the cavitation breakdown rate decreases. In order to optimize the inducer using artificial neural network, the relationship between design parameters (inlet tip blade angle, outlet tip blade angle and hub to tip diameter ratio) and target functions was obtained and then optimized using multi-objective optimization. Regarding multi-objective optimization, the 22% efficiency of the Inducerr, 7% of the Inducer hydraulic efficiency and the required net positive suction head 21% has improved.
