化工学报2019，Vol.70Issue(3)：995-1005,11.DOI:10.11949/j.issn.0438-1157.20181075
基于遗传算法的干气密封双向槽统一模型与参数优化
Unified model and geometrical optimization of bi-directional groove of dry gas seal based on genetic algorithm
摘要
Abstract
The steady-state performance of bi-directional groove dry gas seal can be enhanced by new proposed geometrical model with strong representational capability and new introduced optimization method with strong global search ability. On the basis of analyzing the structural characteristics of typical bi-directional grooves of dry gas seals, a new type of unified model of bi-directional groove with variable spiral angle of hydrodynamic groove was proposed. The geometrical model and mathematical model of dry gas seal with unified model groove were established. The gas film pressure control equations were resolved by use of finite difference method, and the steady-state performance, such as opening force and film stiffness, were obtained. The effect of spiral angle of upstream and downstream hydrodynamic groove on steady-state performance was analyzed, and effect of three typical optimization methods, including single factor optimization, iterative optimization and genetic algorithm optimization, on the enhancement of steady-state performance of bi-directional groove under different working conditions were compared numerically. The results show that compared with the single-factor optimization of the two-way tree-shaped groove dry gas seal, the opening force and film stiffness obtained by the unified model groove dry gas seal based on genetic algorithm are significantly improved, and the maximum increase is 6％ and 55％ respectively. The bi-directional groove shaped like an aircraft wing with upstream spiral angle equals to 0°-90° and downstream spiral angle equals to 90°-180° possesses the maximum opening force and film stiffness under high-speed condition.关键词
干气密封/双向旋转/优化设计/遗传算法/稳定性Key words
dry gas seal/bi-directional rotating/optimal design/genetic algorithm/stability分类
机械制造引用本文复制引用
徐奇超,江锦波,彭旭东,李纪云,王玉明..基于遗传算法的干气密封双向槽统一模型与参数优化[J].化工学报,2019,70(3):995-1005,11.基金项目
国家自然科学基金项目(51575490,51705458) （51575490,51705458）
航天先进制造技术研究联合基金项目(U1737202) （U1737202）
浙江省自然科学基金项目(LQ17E050008,LY18E050026) （LQ17E050008,LY18E050026）
