{"title":"半经验尾缘噪声模型的验证与数值参数研究","authors":"Prabhjot Kaur Dhawan, Seongkyu Lee","doi":"10.1109/ICMAE.2016.7549571","DOIUrl":null,"url":null,"abstract":"This paper presents the validation and numerical parameter study of a semi-empirical trailing edge noise model. Turbulent boundary layer trailing edge noise is the main contributor of wind turbine noise and aircraft airframe noise. To predict this self-noise generated due to the interaction between a turbulent boundary layer flow and an airfoil trailing edge, a semi-empirical model was developed in NASA. The model has been widely used in academia and industry to predict the trailing edge noise. The capabilities and limitations of this semi-empirical model is further studied in this paper by comparing the predictions of the model with experimental data that were presented in a recent Benchmark Problems for Airframe Noise Computations (BANC) workshop. In order to better understand the behavior of trailing edge noise with operating conditions, numerical parameter study is investigated by varying variables such as chord length, Reynolds number, and Mach number.","PeriodicalId":371629,"journal":{"name":"2016 7th International Conference on Mechanical and Aerospace Engineering (ICMAE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Validation and numerical parameter study of a semi-empirical trailing edge noise model\",\"authors\":\"Prabhjot Kaur Dhawan, Seongkyu Lee\",\"doi\":\"10.1109/ICMAE.2016.7549571\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents the validation and numerical parameter study of a semi-empirical trailing edge noise model. Turbulent boundary layer trailing edge noise is the main contributor of wind turbine noise and aircraft airframe noise. To predict this self-noise generated due to the interaction between a turbulent boundary layer flow and an airfoil trailing edge, a semi-empirical model was developed in NASA. The model has been widely used in academia and industry to predict the trailing edge noise. The capabilities and limitations of this semi-empirical model is further studied in this paper by comparing the predictions of the model with experimental data that were presented in a recent Benchmark Problems for Airframe Noise Computations (BANC) workshop. In order to better understand the behavior of trailing edge noise with operating conditions, numerical parameter study is investigated by varying variables such as chord length, Reynolds number, and Mach number.\",\"PeriodicalId\":371629,\"journal\":{\"name\":\"2016 7th International Conference on Mechanical and Aerospace Engineering (ICMAE)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-07-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 7th International Conference on Mechanical and Aerospace Engineering (ICMAE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMAE.2016.7549571\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 7th International Conference on Mechanical and Aerospace Engineering (ICMAE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMAE.2016.7549571","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Validation and numerical parameter study of a semi-empirical trailing edge noise model
This paper presents the validation and numerical parameter study of a semi-empirical trailing edge noise model. Turbulent boundary layer trailing edge noise is the main contributor of wind turbine noise and aircraft airframe noise. To predict this self-noise generated due to the interaction between a turbulent boundary layer flow and an airfoil trailing edge, a semi-empirical model was developed in NASA. The model has been widely used in academia and industry to predict the trailing edge noise. The capabilities and limitations of this semi-empirical model is further studied in this paper by comparing the predictions of the model with experimental data that were presented in a recent Benchmark Problems for Airframe Noise Computations (BANC) workshop. In order to better understand the behavior of trailing edge noise with operating conditions, numerical parameter study is investigated by varying variables such as chord length, Reynolds number, and Mach number.