Abstract: In views of the coupling of structural parameters affecting different performance of high-pressure threaded plug-in relief valves, it was difficult to optimize the comprehensive performance, a multi-objective particle swarm optimization algorithm was proposed to optimize the comprehensive performance. Based on the structural characteristics of high-pressure threaded plug-in relief valves, the mathematical models of opening and closing characteristics, pressure regulation deviation and stability were established. Based on the first-order sensitivity analysis of the influences of structural parameters on the dynamic response, according to the mapping relationship between structure and performance, with the opening rate, pressure regulation deviation, stability and dynamic response performance improvement as the optimization objectives and coupling structure parameters as variables, a comprehensive performance optimization model was established, and the optimal solution of coupling structural parameters was obtained in the form of Pareto set by particle swarm optimization algorithm. The experimental results show that after optimization, the pressure oscillation of the high pressure threaded plug-in relief valves is reduced by 22.7%, the opening rate is increased by 1.5%, the pressure flow gradient is reduced by 14.58%, the pressure overreach in front of the valves is reduced by 14.1%, the response time is shortened by 9.52%.

Key words: threaded plug-in relief valve, particle swarm optimization algorithm, sensitivity analysis, comprehensive performance optimization

摘要： 针对影响高压螺纹插装式溢流阀不同性能间的结构参数存在耦合、难以进行综合性能优化的问题，提出一种多目标粒子群算法对其综合性能进行结构优化。基于高压螺纹插装式溢流阀的结构特征建立启闭特性、调压偏差和稳定性数学模型，基于一阶灵敏度分析结构参数对其动态响应的影响规律，根据结构与性能间映射关系，以开启率、调压偏差、稳定性、动态响应性性能提升为优化目标，以耦合结构参数为变量，建立综合性能优化模型，通过粒子群算法以Pareto集的形式得到耦合结构参数最优解。实验结果表明：优化后的高压螺纹插装式溢流阀压力振摆降低22.7%、开启率提高1.5%、压力流量梯度降低14.58%、阀前压力超调量降低14.1%、响应时间缩短9.52%。

关键词: 螺纹插装式溢流阀, 粒子群算法, 灵敏度分析, 综合性能优化