基于改进狼群算法的井下排水采气超声速喷嘴优化

Optimization of Supersonic Nozzle Applied to Drainage Gas Recovery Based on Improved Wolf Algorithm

相比超声速喷嘴,传统板孔喷嘴雾化效果不佳、携液能力不强。采用改进狼群优化算法,利用计算流体力学数值模拟,对超声速喷嘴的外形进行了优化设计,以期提高井下排水采气效率。研究结果表明,改进狼群优化算法具有高效的全局寻优能力。优化后的超声速喷嘴喉部靠后,扩张段曲率增大,产生的高强度正激波,能够增强气流中液滴流动的不平衡性,提高喷嘴的雾化效果,加速后的气流具有更好的携液能力,对于气动法排水采气具有一定的工程指导价值。

The traditional plate bore has relatively poor atomization effect and insufficient drainage capacity in the process of drainage gas recovery compared with supersonic nozzle.Based on improved wolf algorithm and CFD numerical simulation,the optimal design of supersonic nozzle has been conducted in order to increase the efficiency of drainage gas recovery.The results show that improved wolf algorithm possesses better global search ability.And the nozzle with best aerodynamic performance has a throat near the exit and expanding segment with large curvature change.This configuration feature is good for generating strong normal shock wave which causes more drastic instability and better atomization of droplet in airstream.The results achieved would be of some useful engineering guidelines for drainage gas recovery with aerodynamic methods.