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为优化文丘里蒸汽疏水阀内件结构，提高其自适应调节性能，以最大疏水范围比为目标，采用Central-Composite响应面设计和遗传算法对文丘里蒸汽疏水阀内件结构进行优化，并对优化前后结构进行分析.结果表明，通过代理模型进行优化设计，大大降低了有限元计算量，提升了优化效率，利用遗传算法得到最佳结构参数为：收缩角为20.8°、喉部长度为4.3 mm、扩散角为4.6°.收缩角、喉部长度和扩散角三个几何参数相互关联，扩散角是影响疏水范围比的最有效参数，其中扩散角对疏水范围比具有负向影响，喉长和收缩角对疏水范围比具有非线性影响，且收缩角对疏水范围比的影响最小.
Abstract：In order to optimize the internal structure of the Venturi steam trap and improve its adaptive adjustment performance, the Central-Composite response surface model and genetic algorithm were used to optimize the internal structure of the Venturi steam trap, aiming at the maximum hydrophobic range ratio of Venturi steam trap. The structure was analyzed before and after optimization. The results show that the optimization design by proxy model greatly reduces the amount of finite element calculation and improves the optimization efficiency. The optimal structural parameters obtained by genetic algorithm are as follows:the contraction angle is 20.8°, the throat length is 4.3 mm, and the diffusion angle is 4.6°. The three geometric parameters of contraction angle, throat length and diffusion angle are interrelated.The diffusion angle is the most effective parameter affecting the hydrophobic range ratio. The diffusion Angle has a negative effect on the hydrophobic range ratio. Throat length and contraction Angle have nonlinear influence on the hydrophobic range ratio. The contraction Angle is the smallest parameter affecting the hydrophobic range ratio.
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基本信息:
DOI：
中图分类号:TK17;TP18
引用信息:
[1]卢绪祥,丁海霞,刘瑞等.基于响应面-遗传算法的文丘里蒸汽疏水阀结构优化设计[J].汕头大学学报(自然科学版),2024,39(04):49-64.
基金信息:
长沙理工大学校企合作研究项目（202430102）