The adjoint-based design capability in FUN3D is extended to allow efficient gradient-based optimization and design of concepts with highly integrated and distributed aero-propulsive systems. Previous work by the authors demonstrated the derivation and application of design sensitivities of flow power and vehicle forces with respect to design variables associated with actuator disk size, loading, and installation on the aircraft. In this work, calculations of propulsive power, shaft power, and propeller efficiency using blade element-based disk loading, along with sensitivity derivatives needed to perform adjoint-based design, have been implemented. This includes the derivation of additional design sensitivities for actuator disk variables with respect to the radial distributions of blade pitch angle and chord length. The blade element-based loading implementation allows us to tailor the actuator disk loading to provide greater design authority and calculate the torque imparted on the flow for the modeling of swirl effects. The design capability is demonstrated by the optimization of NASA's parallel hybrid electric PEGASUS aircraft concept. The optimization objective is the minimization of shaft power at the aerodynamic interface planes for the wing-mounted and tail-cone boundary layer ingestion propulsors, subject to vehicle performance and propulsive constraints.


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    Titel :

    Design of a Distributed Propulsion Concept Using an Adjoint-Based Approach and Blade Element Theory to Minimize Power


    Beteiligte:
    Irian Ordaz (Autor:in) / Li Wang (Autor:in) / Eric J Nielsen (Autor:in)

    Kongress:

    AIAA Aviation 2020 ; 2020 ; Reno, NV, US


    Medientyp :

    Sonstige


    Format :

    Keine Angabe


    Sprache :

    Englisch






    Adjoint-Based Design of a Distributed Propulsion Concept with a Power Objective

    Ordaz, Irian / Rallabhandi, Sriram K. / Nielsen, Eric J. | AIAA | 2019


    Adjoint-Based Design of a Distributed Propulsion Concept with a Power Objective

    Ordaz, Irian / Nielsen, Eric J. / Rallabhandi, Sriram K. et al. | NTRS | 2019


    AIAA-2019-3681: Adjoint-Based Design of a Distributed Propulsion Concept with a Power Objective

    Ordaz, Irian / Rallabhandi, Sriram K. / Nielsen, Eric J. | British Library Conference Proceedings | 2019