双向旋转柱面气膜密封性能数值模拟与参数优化

在对气膜密封结构及性能分析的基础上，提出了双向旋转倒斜T字型与双层斜槽型柱面气膜密封界面结构；建立了2种结构密封气膜的数理模型和基于有限元方法的密封气膜数值分析模型；在VC平台上开发了基于有限元计算的密封气膜压力分布、系统密封特性及槽型结构多维参数优化的计算分析程序，实现了对密封气膜压力分布、密封特性的数值计算及结构参数的优化设计；在Gambit中建立了不同平均膜厚下倒斜T字型柱面气膜的物理模型和有限元分析模型，通过FLUENT进行了密封气膜特性数值仿真，商用软件仿真结果与自主开发程序数值计算结果对比一致性好，验证了开发程序的正确性；计算对比了2种界面结构的密封稳态特性与动态特性，在相同计算参数下，倒斜T字型的密封性能优于双层斜槽型，为密封系统设计选型提供了帮助；基于遗传思想的粒子群多维优化（GAPSO）计算程序的开发，为槽型参数的优化设计提供了有效的手段。

Numerical simulation and parameter optimization of seal property of bidirectional rotating cylinder gas film

Based on cognizing of advantages of cylinder gas film seal system, this paper proposes a new bidirectional rotating cylinder gas film seal system with inverted T interface structure and double-groove interface structure. It establishes mathematical model and numerical analysis model of the bidirectional rotating cylinder gas film with inverted T interface structure and double-groove interface structure based on finite element method. It develops calculation program about pressure distribution, steady and dynamic property of the gas film, and multidimensional parameter optimization of groove structure on the basis of finite element method on the VC platform. It realizes calculation and analysis of pressure distribution, property of the seal system and structural parameter optimization design. It builds physical models and finite element models of the inverted T cylinder gas film with different average thickness in Gambit. And then, this paper carries out numerical simulation of the gas film under different rotational speed through FLUENT. The simulation results of commercial software are consistent with numerical results of the self-developed program, verifying the correctness of the developed program. It calculates and compares steady and dynamic properties of two kinds of interface structures, and seal performance of inverted T type is better than double-groove type under the same design conditions, which provides reference for selection model of seal system. The calculation program of genetic algorithm-particle swarm optimization (GAPSO) has guiding significance for the design of groove parameters.