Blowing air at the end of the airport runway can accelerate the decay of the near-ground aircraft wake vortex, thereby reducing the negative impact of the vortex on the following aircraft. However, the benefits of accelerating wake dissipation vary for different blowing parameters, so it is necessary to set appropriate parameters in order to obtain better acceleration results. Because of the high cost of traditional optimization methods, this research uses a Kriging surrogate model to optimize the blowing parameters. The results show that the current optimization algorithm can deal with the global optimization problem well. After obtaining 205 sample points, the response surface model of the blowing parameters and blowing yield was accurately established. A relatively optimal parameter setting range was given, and numerical simulation shows that the current parameter setting can obtain improved benefits from accelerated vortex dissipation. In addition, since the optimization process is partially dimensionless, the above optimization results can be used to achieve multi-objective design, that is, the same set of blowing devices can efficiently accelerate the dissipative process of the tail vortices of different aircraft types, thus improving the engineering feasibility of the current blowing method.
{"title":"Numerical Optimization on Aircraft Wake Vortex Decay Enhancement","authors":"Ziming Xu, Dong Li","doi":"10.3389/arc.2024.12444","DOIUrl":"https://doi.org/10.3389/arc.2024.12444","url":null,"abstract":"Blowing air at the end of the airport runway can accelerate the decay of the near-ground aircraft wake vortex, thereby reducing the negative impact of the vortex on the following aircraft. However, the benefits of accelerating wake dissipation vary for different blowing parameters, so it is necessary to set appropriate parameters in order to obtain better acceleration results. Because of the high cost of traditional optimization methods, this research uses a Kriging surrogate model to optimize the blowing parameters. The results show that the current optimization algorithm can deal with the global optimization problem well. After obtaining 205 sample points, the response surface model of the blowing parameters and blowing yield was accurately established. A relatively optimal parameter setting range was given, and numerical simulation shows that the current parameter setting can obtain improved benefits from accelerated vortex dissipation. In addition, since the optimization process is partially dimensionless, the above optimization results can be used to achieve multi-objective design, that is, the same set of blowing devices can efficiently accelerate the dissipative process of the tail vortices of different aircraft types, thus improving the engineering feasibility of the current blowing method.","PeriodicalId":502239,"journal":{"name":"Aerospace Research Communications","volume":"44 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139602160","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this paper, the thermal conductivities of the square thermal invisibility cloak are constructed in two ways. One is the direct method, another is the rotation matrix method. The thermal conductivity coefficients obtained by the two methods are the same. The cloud map of thermal conductivity coefficient of the thermal cloak is drawn, which can help us understand more intuitively how the thermal invisibility cloak works. Besides, to manipulate heat flow in a larger area, the cloaks are arranged periodically by introducing the position parameters into the calculation of the thermal conductivity coefficient of the thermal invisibility cloak. The heat insulation function of both the single thermal cloak and the thermal cloak periodic plate are tested under different heat boundary conditions using COMSOL Multiphysics. For different heat boundary conditions, heat flux direction of the simulation result is given. The results show that both the single thermal cloak and the thermal cloak periodic plate have the function of avoiding heat flow under different heat boundary conditions. The heat fluxes travel around the inner domain with good thermal stealth effect.
{"title":"The Thermal Conductivity Coefficient of a Square Thermal Invisibility Cloak Cell and Its Application in Periodic Plate","authors":"Yanyan Sun, Y. Chai, Xiongwei Yang, Yueming Li","doi":"10.3389/arc.2023.12099","DOIUrl":"https://doi.org/10.3389/arc.2023.12099","url":null,"abstract":"In this paper, the thermal conductivities of the square thermal invisibility cloak are constructed in two ways. One is the direct method, another is the rotation matrix method. The thermal conductivity coefficients obtained by the two methods are the same. The cloud map of thermal conductivity coefficient of the thermal cloak is drawn, which can help us understand more intuitively how the thermal invisibility cloak works. Besides, to manipulate heat flow in a larger area, the cloaks are arranged periodically by introducing the position parameters into the calculation of the thermal conductivity coefficient of the thermal invisibility cloak. The heat insulation function of both the single thermal cloak and the thermal cloak periodic plate are tested under different heat boundary conditions using COMSOL Multiphysics. For different heat boundary conditions, heat flux direction of the simulation result is given. The results show that both the single thermal cloak and the thermal cloak periodic plate have the function of avoiding heat flow under different heat boundary conditions. The heat fluxes travel around the inner domain with good thermal stealth effect.","PeriodicalId":502239,"journal":{"name":"Aerospace Research Communications","volume":"2 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139256358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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