Aircraft have evolved into extremely complex systems that require adapted methodologies and tools for efficient design processes. A theoretical formulation based on exergy management is proposed for assessing the aerothermopropulsive performance of future aircraft configurations. The theoretical formulation has been numerically implemented in a FORTRAN code to postprocess Reynolds-averaged Navier–Stokes flow solutions. First, the exergy formulation is presented, and then the approach is applied to assess the performance of a simplified (two-dimensional) blended wing–body configuration with boundary-layer ingestion. The challenge of applying conventional drag/thrust bookkeeping is discussed, and the pertinence of the formulation is thereby reinforced. It is shown that this architecture wastes very little exergy in its wake/jet by exhibiting an exergy-waste coefficient lower than 3% in steady flight. Finally, heat transfer upstream of the propulsion system is found to yield an approximate 1.5% fuel saving. Overall, the benefit of the single-currency aspect of the exergy analysis is highlighted.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Exergy-Based Performance Assessment of a Blended Wing–Body with Boundary-Layer Ingestion


    Contributors:

    Published in:

    AIAA Journal ; 53 , 12 ; 3766-3776


    Publication date :

    2015-06-25


    Size :

    11 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





    Designing and Testing a Blended Wing Body with Boundary Layer Ingestion Nacelles

    Carter, Melissa B. / Campbell, Richard L. / Pendergraft, Odis C. et al. | NTRS | 2006


    Designing and Testing a Blended Wing Body with Boundary-Layer Ingestion Nacelles

    Melissa Carter / Richard Campbell / Odis Pendergraft et al. | AIAA | 2006



    Energy-Based Aerodynamic Analysis on the Blended-Wing-Body Aircraft with Boundary Layer Ingestion

    Wenyuan Zhao / Yanlai Zhang / Jianghao Wu | DOAJ | 2022

    Free access