冻细雨分布匹配的量化评估方法
作者:
作者单位:

1.中国空气动力研究与发展中心结冰与防除冰重点实验室,绵阳 621000;2.中国空气动力研究与发展中心空气动力学国家重点实验室,绵阳621000;3.上海飞机设计研究院适航工程中心,上海 201210

作者简介:

通讯作者:

易贤,男,研究员,博士生导师,E-mail:yixian@cardc.cn。

中图分类号:

V221.3

基金项目:


Quantitative Evaluation Method of Freezing Drizzle Distribution Matching
Author:
Affiliation:

1.Key Laboratory of Icing and Anti/De-icing, China Aerodynamics Research and Development Center, Mianyang 621000, China;2.State Key Laboratory of Aerodynamics, China Aerodynamics Research and Development Center, Mianyang 621000, China;3.Center of Airworthiness Engineering, Shanghai Aircraft Design and Research Institute, Shanghai 201210, China

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    摘要:

    为实现过冷大水滴(Supercooled large droplet,SLD)结冰条件中冻细雨结冰条件的精细化匹配,本文通过分析美国联邦航空管理局颁布的14CFR25附录O中给出的冻细雨液滴尺寸分布,提出了冻细雨分布匹配的量化评估方法。该评估方法引入标准化质量分数概念,计算测量值与冻细雨液滴尺寸分布之间的匹配偏差因子,采用Rosin-Rammler分布函数构建最优匹配累积分布函数,以此作为匹配偏差最小阈值,量化评估液滴尺寸匹配程度。基于新型喷雾测试平台和自研的空气辅助雾化喷嘴Model 1和Model 2,采用该方法对冻细雨条件开展匹配和评估研究。研究结果表明:针对冻细雨(水滴中值体积直径(Median volumetric diameter,MVD)<40 μm)条件,液滴尺寸分布匹配偏差最小阈值Fc =11.82%,Model 1+Model 1和Model 1+Model 2组合匹配偏差因子F分别为24.08%和22.02%,匹配程度均评价为“中等(Fair)”。针对冻细雨(MVD>40 μm)条件,液滴尺寸分布匹配偏差最小阈值Fc=3.76%,Model 1+Model 1和Model 1+Model 2组合匹配偏差因子F分别为22.78%和14.89%,其中Model 1+Model 1组合匹配程度评价为“中等(Fair)”,而Model 1+Model 2组合匹配程度评价为“良(Good)”。

    Abstract:

    To accurately match the freezing drizzle conditions under the freezing conditions of supercooled large droplet(SLD), a quantization evaluation method for matching frozen drizzle distribution is developed by analyzing the freezing drizzle condition given in 14CFR25 Appendix O of Federal Aeronautics Administration. The evaluation method introduces the concept of standardized quality scores, and the matching deviation factor between the measured value and the size distribution of frozen drizzle droplets is calculated. The optimal matching cumulative distribution function is constructed by using Rosin-Rammler distribution function, which is used as the minimum matching deviation threshold to quantitatively evaluate the droplet size matching degree. Then, based on the new spray testing platform and two self-developed air-assisted atomizing nozzles Model 1 and Model 2, this method is used to study the matching and evaluation of freezing drizzle conditions. The results show that under the conditions of freezing drizzle (Median volumetric diameter(MVD)<40 μm), the minimum threshold of matching deviation of droplet size distribution Fc=11.82%, the matching deviation factors F of Model 1+Model 1 and Model 1+Model 2 are 24.08% and 22.02%, respectively, and the matching degree is evaluated as “Fair”. Under the conditions of freezing drizzle (MVD>40 μm), the minimum threshold of matching deviation of droplet size distribution Fc=3.76%, and the matching deviation factors F of Model 1+Model 1 and Model 1+Model 2 are 22.78% and 14.89%, respectively. Among them, the matching degree of Model 1+Model 1 is evaluated as “Fair”, while Model 1+Model 2 is evaluated as “Good”.

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陈海,郭向东,赵荣,易贤,王丹.冻细雨分布匹配的量化评估方法[J].南京航空航天大学学报,2023,55(2):233-240

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  • 收稿日期:2022-04-22
  • 最后修改日期:2022-07-07
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  • 在线发布日期: 2023-04-28
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