No AccessGradient-Based Propeller Optimization with Acoustic ConstraintsDaniel Ingraham, Justin S. Gray and Leonard V. LopesDaniel IngrahamNASA Glenn Research CenterSearch for more papers by this author, Justin S. GrayNASA Glenn Research CenterSearch for more papers by this author and Leonard V. LopesNASA Langley Research CenterSearch for more papers by this authorAIAA 2019-1219Session: Multidisciplinary Design Optimization for Vehicle Design IIIPublished Online:6 Jan 2019https://doi.org/10.2514/6.2019-1219SectionsRead Now ToolsAdd to favoritesDownload citationTrack citations ShareShare onFacebookXLinked InRedditEmail About Previous chapter Next chapter FiguresReferencesRelatedDetailsSee PDF for referencesCited byDesign approach for tilt propellers of UAM/eVTOLs for cruise and hover considering aerodynamic and aeroacoustic characteristics via a multi-fidelity model1 Nov 2024 | Aerospace Science and TechnologyHybrid Aerodynamic Optimization of a Propeller Based on the Reformulated Blade Element Momentum Theory1 Mar 2024 | Journal of Aerospace Engineering, Vol. 37, No. 2A minimum objective function trim procedure for VTOLs noise reduction1 Feb 2024 | Aerospace Science and TechnologyTowards Low-Noise Design of a Proprotor with the Vortex Lattice Method and Gradient-Based OptimizationDaniel Ingraham and David Kinney4 January 2024Co-design of a multirotor UAV with robust control considering handling qualities and motor failure1 Nov 2023 | Aerospace Science and TechnologyBroadband Predictions of Optimized Proprotors in Axial Forward FlightJoshua D. Blake, Christopher S. Thurman, Nikolas S. Zawodny and Leonard V. Lopes8 June 2023RANS-Based Aeroacoustic Global Sensitivity Study and Optimization of UAV Propellers20 March 2023 | Aerospace, Vol. 10, No. 3Review of Control Technologies for Quiet Operations of Advanced Air-Mobility16 February 2023 | Applied Sciences, Vol. 13, No. 4Low-Noise Propeller Design with the Vortex Lattice Method and Gradient-Based OptimizationDaniel Ingraham19 January 2023Self-organizing UAM Vehicles for Noise Mitigation in Urban EnvironmentsSangeeth Saagar Ponnusamy, Söenke Klostermann, Carsten Strobel and Stephen Rolston19 January 2023Sensitivities of Aircraft Acoustic Metrics to Engine Design Variables for Multidisciplinary OptimizationLaurens J. A. Voet, Prashanth Prakash, Raymond L. Speth, Jayant S. Sabnis, Choon S. Tan and Steven R. H. Barrett15 May 2022 | AIAA Journal, Vol. 60, No. 8Using blade element momentum methods with gradient-based design optimization20 May 2021 | Structural and Multidisciplinary Optimization, Vol. 64, No. 2Propeller Selection by Means of Pareto-Optimal Sets Applied to Flight Performance5 March 2020 | Aerospace, Vol. 7, No. 3Modeling Multirotor Aerodynamic Interactions Through the Vortex Particle MethodEduardo J. Alvarez and Andrew Ning15 June 2019Multidisciplinary Optimization of a Turboelectric Tiltwing Urban Air Mobility AircraftEric S. Hendricks, Robert D. Falck, Justin S. Gray, Eliot Aretskin-Hariton, Daniel Ingraham, Jeffryes W. Chapman, Sydney L. Schnulo, Jeff Chin, John P. Jasa and Jennifer D. Bergeson15 June 2019 What's Popular AIAA Scitech 2019 Forum 7-11 January 2019San Diego, Californiahttps://doi.org/10.2514/6.2019-1219 CrossmarkInformationThis material is declared a work of the U.S. Government and is not subject to copyright protection in the United States. TopicsAeroacousticsAerodynamic PerformanceAerodynamicsAerospace SciencesBoundary LayersComputational Fluid DynamicsConservation of Momentum EquationsEquations of Fluid DynamicsFlow RegimesFluid DynamicsNumerical AnalysisVortex Dynamics KeywordsPropeller PerformanceUrban Air MobilityBlade Element Momentum TheoryComputational Fluid DynamicsAerodynamic ForceAerodynamic PerformancePower GenerationNational Renewable Energy LaboratoryComputational Structural DynamicsPusher ConfigurationDigital Topics Multidisciplinary Design Optimization