{"title":"使用Python的经典势流空气动力学","authors":"L. Barba, O. Mesnard","doi":"10.21105/JOSE.00045","DOIUrl":null,"url":null,"abstract":"The AeroPython set of lessons present a computational approach to an engineering course in classical aerodynamics. The audience of such a course would be advanced undergraduate students in mechanical or aerospace engineering (or master’s students), with a fluid mechanics pre-requisite. Classical aerodynamics is a broad theoretical subject— this learning module focuses on one topic: the use of potential flow for aerodynamic analysis, via the panel method.","PeriodicalId":75094,"journal":{"name":"The Journal of open source education","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Aero Python: classical aerodynamics of potential flow using Python\",\"authors\":\"L. Barba, O. Mesnard\",\"doi\":\"10.21105/JOSE.00045\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The AeroPython set of lessons present a computational approach to an engineering course in classical aerodynamics. The audience of such a course would be advanced undergraduate students in mechanical or aerospace engineering (or master’s students), with a fluid mechanics pre-requisite. Classical aerodynamics is a broad theoretical subject— this learning module focuses on one topic: the use of potential flow for aerodynamic analysis, via the panel method.\",\"PeriodicalId\":75094,\"journal\":{\"name\":\"The Journal of open source education\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-05-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Journal of open source education\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21105/JOSE.00045\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Journal of open source education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21105/JOSE.00045","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Aero Python: classical aerodynamics of potential flow using Python
The AeroPython set of lessons present a computational approach to an engineering course in classical aerodynamics. The audience of such a course would be advanced undergraduate students in mechanical or aerospace engineering (or master’s students), with a fluid mechanics pre-requisite. Classical aerodynamics is a broad theoretical subject— this learning module focuses on one topic: the use of potential flow for aerodynamic analysis, via the panel method.