{"title":"Aerodynamic state estimation from sparse sensor data by pairing Bayesian statistics with transition networks","authors":"F. Kaiser, G. Iacobello, D. Rival","doi":"10.2514/6.2022-1669","DOIUrl":"https://doi.org/10.2514/6.2022-1669","url":null,"abstract":"","PeriodicalId":192386,"journal":{"name":"AIAA SCITECH 2022 Forum","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125089652","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}
Kyle E. Uhlenhake, Mateo Gomez, Diane N. Collard, M. Örnek, S. Son
{"title":"Laser Ignition of Solid Propellants Using Energetic nAl-PVDF Optical Sensitizers","authors":"Kyle E. Uhlenhake, Mateo Gomez, Diane N. Collard, M. Örnek, S. Son","doi":"10.2514/6.2022-1744","DOIUrl":"https://doi.org/10.2514/6.2022-1744","url":null,"abstract":"","PeriodicalId":192386,"journal":{"name":"AIAA SCITECH 2022 Forum","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125139108","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}
{"title":"Adaptive Manual Control: a Predictive Coding Approach","authors":"Lorenzo Terenzi, P. Zaal, D. Pool, M. Mulder","doi":"10.2514/6.2022-2448","DOIUrl":"https://doi.org/10.2514/6.2022-2448","url":null,"abstract":"","PeriodicalId":192386,"journal":{"name":"AIAA SCITECH 2022 Forum","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125834810","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}
{"title":"Aluminum Combustion in a Shock Tube at High Pressure","authors":"K. Daniel, K. Lynch, C. Downing, J. Wagner","doi":"10.2514/6.2022-0637","DOIUrl":"https://doi.org/10.2514/6.2022-0637","url":null,"abstract":"","PeriodicalId":192386,"journal":{"name":"AIAA SCITECH 2022 Forum","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125883918","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}
The aerodynamic performance and flow structures of a high efficiency Co-Flow Jet (CFJ) wind turbine is studied in this paper. CFJ is a zero-net-mass-flux active flow control method that dramatically increases airfoil lift coefficient and suppresses flow separation at a low energy expenditure. The 3D Reynolds Averaged Navier-Stokes (RANS) equations with one-equation Spalart-Allmaras (SA) turbulence model are solved to simulate the 3D flows of the wind turbines. The CFJ-Wind Turbine in this paper utilizes a new CFJ-NACA6421 airfoil, but the twist and chord distributions are the same as those of the NREL 5.029m radius Phase VI wind turbine, which is used as the baseline turbine for comparison. The predicted power coefficient of the baseline turbine agrees excellently with the measured one by a small deviation of 1.1%. The predicted surface pressure distributions are also in very good agreement with the experiment. The CFJ injection and suction slots are implemented along the blade span to achieve CFJ active flow control. The study indicates that the CFJ active flow control can significantly enhance the power output of a well optimized conventional wind turbine at its design flow speed. The results show that the flow field around the CFJ wind turbine blade surface suppressed flow separation near the blade root region. The parametric study show that the optimum jet momentum coefficient C µ is 0.02. At the same design RPM of the baseline blade with a tip speed ratio of 5.4 and freestream speed of 7 m/s, the CFJ turbine achieves a power coefficient of 0.475, a 29.4% improvement over the baseline turbine’s design point efficiency. At a higher RPM with the tip speed ratio of 6.3, the CFJ wind turbine net power coefficient is 0.492, which presents 34.1% improvement comparing to the NREL Phase VI wind turbine at its design point. The work on more parametric study is in progress to further optimize the design.
{"title":"Wind Turbine Efficiency Enhancement by CoFlow Jet Airfoil","authors":"Yan Ren, Kewei Xu, Gecheng Zha","doi":"10.2514/6.2022-1787","DOIUrl":"https://doi.org/10.2514/6.2022-1787","url":null,"abstract":"The aerodynamic performance and flow structures of a high efficiency Co-Flow Jet (CFJ) wind turbine is studied in this paper. CFJ is a zero-net-mass-flux active flow control method that dramatically increases airfoil lift coefficient and suppresses flow separation at a low energy expenditure. The 3D Reynolds Averaged Navier-Stokes (RANS) equations with one-equation Spalart-Allmaras (SA) turbulence model are solved to simulate the 3D flows of the wind turbines. The CFJ-Wind Turbine in this paper utilizes a new CFJ-NACA6421 airfoil, but the twist and chord distributions are the same as those of the NREL 5.029m radius Phase VI wind turbine, which is used as the baseline turbine for comparison. The predicted power coefficient of the baseline turbine agrees excellently with the measured one by a small deviation of 1.1%. The predicted surface pressure distributions are also in very good agreement with the experiment. The CFJ injection and suction slots are implemented along the blade span to achieve CFJ active flow control. The study indicates that the CFJ active flow control can significantly enhance the power output of a well optimized conventional wind turbine at its design flow speed. The results show that the flow field around the CFJ wind turbine blade surface suppressed flow separation near the blade root region. The parametric study show that the optimum jet momentum coefficient C µ is 0.02. At the same design RPM of the baseline blade with a tip speed ratio of 5.4 and freestream speed of 7 m/s, the CFJ turbine achieves a power coefficient of 0.475, a 29.4% improvement over the baseline turbine’s design point efficiency. At a higher RPM with the tip speed ratio of 6.3, the CFJ wind turbine net power coefficient is 0.492, which presents 34.1% improvement comparing to the NREL Phase VI wind turbine at its design point. The work on more parametric study is in progress to further optimize the design.","PeriodicalId":192386,"journal":{"name":"AIAA SCITECH 2022 Forum","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126137206","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}
E. Dikbaş, C. Schnepf, M. Tormalm, Michael Anderson, S. Shaw, J. Despirito, G. Loupy, G. Barakos, K. Boychev, C. Toomer, O. Baran
A research program has been underway for four years to study vortex interaction aerodynamics that are relevant to military air vehicle performance. The program has been conducted under the auspices of the NATO Science and Technology Organization (STO), Applied Vehicle Technology (AVT) panel by a Task Group with the identification of AVT-316. The Missile Facet of this group has concentrated their work on the vortical flow field around a generic missile airframe and its prediction via computational methods. This paper focuses on mesh-related effects and RANS simulations. Simulated vortex characteristics
{"title":"The Influence of the Computational Mesh on the Prediction of Vortex Interactions about a Generic Missile Airframe","authors":"E. Dikbaş, C. Schnepf, M. Tormalm, Michael Anderson, S. Shaw, J. Despirito, G. Loupy, G. Barakos, K. Boychev, C. Toomer, O. Baran","doi":"10.2514/6.2022-1176","DOIUrl":"https://doi.org/10.2514/6.2022-1176","url":null,"abstract":"A research program has been underway for four years to study vortex interaction aerodynamics that are relevant to military air vehicle performance. The program has been conducted under the auspices of the NATO Science and Technology Organization (STO), Applied Vehicle Technology (AVT) panel by a Task Group with the identification of AVT-316. The Missile Facet of this group has concentrated their work on the vortical flow field around a generic missile airframe and its prediction via computational methods. This paper focuses on mesh-related effects and RANS simulations. Simulated vortex characteristics","PeriodicalId":192386,"journal":{"name":"AIAA SCITECH 2022 Forum","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123254080","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}
{"title":"A framework for campaign level asteroid mining pre-feasibility study","authors":"Ruida Xie, S. Saydam, A. Dempster","doi":"10.2514/6.2022-2583","DOIUrl":"https://doi.org/10.2514/6.2022-2583","url":null,"abstract":"","PeriodicalId":192386,"journal":{"name":"AIAA SCITECH 2022 Forum","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123309346","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}
{"title":"Reduced-Order Aerodynamics with the Method of Integrated Circulation","authors":"Vivek Ahuja, R. Hartfield","doi":"10.2514/6.2022-0005","DOIUrl":"https://doi.org/10.2514/6.2022-0005","url":null,"abstract":"","PeriodicalId":192386,"journal":{"name":"AIAA SCITECH 2022 Forum","volume":"329 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123318783","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}
{"title":"Structural Optimization of Regeneratively Cooled Rotating Detonation Rocket Engines","authors":"E. Jørgensen, Z. Cordero, David M. Vaccaro","doi":"10.2514/6.2022-0092","DOIUrl":"https://doi.org/10.2514/6.2022-0092","url":null,"abstract":"","PeriodicalId":192386,"journal":{"name":"AIAA SCITECH 2022 Forum","volume":"158 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123338739","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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