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氢气作为最有希望的清洁可再生能源之一,已被广泛应用于航天、工业和燃料电池等领域.临界流喷嘴由于其测量过程不受下游扰动的影响,越来越多地被应用于氢气特别是高压氢气的流量测量.而作为真实气体的氢气在临界流喷嘴中的流动规律更加复杂,准确获得喷嘴喉部氢气的热力学参数对于氢气的精确测量至关重要.结合真实气体显式亥姆霍兹能量方程,利用熵焓关系分析并通过迭代获得了喷嘴喉部容积等熵指数这一基本流动参数.提出了最优化获取显式快速计算模型的回归算法,引入了进化算法思想,利用选择、交换和变异等方式寻找显著性和精度最优的种群个体.回归标准偏差为0.0089%,平均残差为0.0285%,最大残差为0.1781%.结果表明,所提出的算法能快速搜索满足显著性和精度要求的最优解,在提高回归方程质量的同时使方程项数达到最少,具有较好的抑制过拟合的能力.所提出的算法也可用于其他各类流体设备的不同介质流场特性参数模型的建立.
As one of the most promising clean renewable energy sources, hydrogen has been widely used in the fields of aerospace, industry and fuel cells etc. Critical flow nozzles are increasingly used in hydrogen because of their measurement process without downstream disturbances Especially the high-pressure hydrogen.The flow of hydrogen as the real gas is more complicated in the critical-flow nozzle, and it is very important to get the thermodynamic parameters of the hydrogen in the laryngeal nozzle accurately.Taking the real gas Explicit Helm Huhs energy equation, the entropy-enthalpy relation is used to analyze and obtain the throat volume isentropic index, which is the basic flow parameter of the nozzle thresholding.A regression algorithm is proposed to obtain the explicit and rapid calculation model optimally, and the evolutionary algorithm is introduced, , Exchange and mutation, etc. The standard deviation of regression was 0.0089%, the average residual was 0.0285%, the maximum residual was 0.1781% .The results show that the proposed algorithm can quickly search to meet the significant The optimal solution of the requirements of the sex and accuracy, while improving the quality of the regression equation while minimizing the number of equations, has better suppression Bonding capacity. The proposed algorithm can also be used to create different media flow field parameters of the model other types of fluid equipment.