基于多目标粒子群算法的隔膜压缩机膜腔曲线优化

Optimization of Cavity Profile of Diaphragm Compressor Based on MOPSO Algorithm

膜腔曲线直接影响着隔膜压缩机排气量与膜片可靠性,原始膜腔曲线不能较好满足今后加氢站隔膜压缩机高压力、大流量工况需求。针对此问题,依据隔膜压缩机工作原理,采用多目标粒子群算法对膜腔曲线进行面积与弧长的双目标优化计算,得到了一种新曲线。同时,结合压缩机工程实际对膜腔曲线进行了改进,并对改进后的膜腔曲线与原始曲线进行容积计算与有限元应力对比。研究结果表明:在给定新曲线内参数m=0.95、n=2.5且膜腔半径与膜片厚度不变的情况下,新曲线膜腔下膜片气侧最大径向应力较原始曲线降低了13.89%,膜腔容积较原始曲线增加13.72%。

The cavity curve directly affects the exhaust capacity and diaphragm reliability of diaphragm compressor,and the original diaphragm cavity curve can not meet the high pressure and large flow conditions of diaphragm compressor in hydrogen refueling station in the future.In order to solve this problem,according to the working principle of diaphragm compressor,this paper used multi-objective particle swarm optimization algorithm to calculate the area and arc length of diaphragm cavity curve,and obtained a new curve.At the same time,combined with the compressor engineering practice,the cavity curve was improved,and the volume calculation and finite element stress comparison of the improved cavity curve and the reference curve were carried out.The results show that the maximum radial stress on the gas side of the diaphragm under the new curve has decreased by 13.89%compared with the original curve,while the diaphragm volume has increased by 13.72%compared with the original curve,given the parameters m=0.95 and n=2.5 in the new curve and the radius of diaphragm cavitll and the thickness of diaphragm remain unchanged.