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作 者:辛建池 吴化银 陆华伟 田志涛 刘俊[2] XIN Jianchi;WU Huayin;LU Huawei;TIAN Zhitao;LIU Jun(School of Naval Architecture and Ocean Engineering,Dalian Maritime University,Dalian 116026,China;Maine Engineering College,Dalian Maritime University,Dalian 116026,China)
机构地区:[1]大连海事大学船舶与海洋工程学院,大连116026 [2]大连海事大学轮机工程学院,大连116026
出 处:《工程热物理学报》2025年第1期127-137,共11页Journal of Engineering Thermophysics
基 金:中央高校基本科研业务费专项资金资助(No.3132024113);国家自然科学基金面上项目(No.52176036)。
摘 要:本文采用环形测点布置的七孔探针校准测试方法,在亚音速风洞进行试验得到校准数据。在已有的七孔探针校准插值研究基础上,发展了一种神经网络拟合插值方法并使用鲸鱼优化算法进行超参数优化。优化后的神经网络插值方法与传统的多项式插值、线性插值等方法对比后表明:环形测点布置的校准测试方法能简化七孔探针的校准试验,且能得到可靠的校准数据;多项式插值的角度误差高于0.5°,线性插值的角度误差在0.3°以内,未经优化的神经网络插值精度较低,部分点角度误差超过1°。相比较而言,优化后神经网络插值算法更具优势:插值精度最高,角度误差在0.2°以内,马赫数误差在0.8%以内,总压误差1.08%以内。In this thesis,a calibration test method of circular distribution of measuring points is adopted,and the calibration data are obtained by experiments in subsonic wind tunnel.On the basis of the existing seven-hole probe calibration and interpolation research,a neural network fitting and interpolation method is developed and the whale optimization algorithm is used to optimize the hyperparameter.The optimized neural network interpolation method is compared with the traditional polynomial interpolation and linear interpolation methods.The results show that the calibration test method of circular distribution of measuring points can simplify the calibration test of seven-hole probe and obtain reliable calibration data.The angle error of polynomial interpolation is higher than 0.5°,the angle error of linear interpolation is less than 0.3°,and the interpolation accuracy of unoptimized neural network is lower,and the angle error of some points exceeds 1°.Comparatively speaking,the optimized neural network interpolation algorithm has more advantages:the interpolation accuracy is the highest,and the angle error is within 0.2°.The Mach number error is within 0.8%,and the total pressure error is within 1.08%.
关 键 词:七孔探针 校准方法 神经网络 数据处理 风洞试验
分 类 号:TH452[机械工程—机械制造及自动化]
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