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    Aerodynamic Design of Separate Jet Exhausts for Future Civil Aero engines—Part II: Design Space Exploration, Surrogate Modeling, and Optimization

    Source: Journal of Engineering for Gas Turbines and Power:;2016:;volume( 138 ):;issue: 008::page 81202
    Author:
    Goulos, Ioannis
    ,
    Otter, John
    ,
    Stankowski, Tomasz
    ,
    MacManus, David
    ,
    Grech, Nicholas
    ,
    Sheaf, Christopher
    DOI: 10.1115/1.4032652
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The aerodynamic performance of the bypass exhaust system is key to the success of future civil turbofan engines. This is due to current design trends in civil aviation dictating continuous improvement in propulsive efficiency by reducing specific thrust and increasing bypass ratio (BPR). This paper aims to develop an integrated framework targeting the automatic design optimization of separatejet exhaust systems for future aeroengine architectures. The core method of the proposed approach is based on a standalone exhaust design tool comprising modules for cycle analysis, geometry parameterization, mesh generation, and Reynoldsaveraged Navier–Stokes (RANS) flow solution. A comprehensive optimization strategy has been structured comprising design space exploration (DSE), response surface modeling (RSM) algorithms, as well as stateoftheart global/genetic optimization methods. The overall framework has been deployed to optimize the aerodynamic design of two civil aeroengines with separatejet exhausts, representative of current and future engine architectures, respectively. A set of optimum exhaust designs have been obtained for each investigated engine and subsequently compared against their reciprocal baselines established using the current industry practice in terms of exhaust design. The obtained results indicate that the optimization could lead to designs with significant increase in net propulsive force, compared to their respective notional baselines. It is shown that the developed approach is implicitly able to identify and mitigate undesirable flowfeatures that may compromise the aerodynamic performance of the exhaust system. The proposed method enables the aerodynamic design of optimum separatejet exhaust systems for a userspecified engine cycle, using only a limited set of standard nozzle design variables. Furthermore, it enables to quantify, correlate, and understand the aerodynamic behavior of any separatejet exhaust system for any specified engine architecture. Hence, the overall framework constitutes an enabling technology toward the design of optimally configured exhaust systems, consequently leading to increased overall engine thrust and reduced specific fuel consumption (SFC).
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      Aerodynamic Design of Separate Jet Exhausts for Future Civil Aero engines—Part II: Design Space Exploration, Surrogate Modeling, and Optimization

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    contributor authorGoulos, Ioannis
    contributor authorOtter, John
    contributor authorStankowski, Tomasz
    contributor authorMacManus, David
    contributor authorGrech, Nicholas
    contributor authorSheaf, Christopher
    date accessioned2017-05-09T01:28:41Z
    date available2017-05-09T01:28:41Z
    date issued2016
    identifier issn1528-8919
    identifier othergtp_138_08_081202.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/161150
    description abstractThe aerodynamic performance of the bypass exhaust system is key to the success of future civil turbofan engines. This is due to current design trends in civil aviation dictating continuous improvement in propulsive efficiency by reducing specific thrust and increasing bypass ratio (BPR). This paper aims to develop an integrated framework targeting the automatic design optimization of separatejet exhaust systems for future aeroengine architectures. The core method of the proposed approach is based on a standalone exhaust design tool comprising modules for cycle analysis, geometry parameterization, mesh generation, and Reynoldsaveraged Navier–Stokes (RANS) flow solution. A comprehensive optimization strategy has been structured comprising design space exploration (DSE), response surface modeling (RSM) algorithms, as well as stateoftheart global/genetic optimization methods. The overall framework has been deployed to optimize the aerodynamic design of two civil aeroengines with separatejet exhausts, representative of current and future engine architectures, respectively. A set of optimum exhaust designs have been obtained for each investigated engine and subsequently compared against their reciprocal baselines established using the current industry practice in terms of exhaust design. The obtained results indicate that the optimization could lead to designs with significant increase in net propulsive force, compared to their respective notional baselines. It is shown that the developed approach is implicitly able to identify and mitigate undesirable flowfeatures that may compromise the aerodynamic performance of the exhaust system. The proposed method enables the aerodynamic design of optimum separatejet exhaust systems for a userspecified engine cycle, using only a limited set of standard nozzle design variables. Furthermore, it enables to quantify, correlate, and understand the aerodynamic behavior of any separatejet exhaust system for any specified engine architecture. Hence, the overall framework constitutes an enabling technology toward the design of optimally configured exhaust systems, consequently leading to increased overall engine thrust and reduced specific fuel consumption (SFC).
    publisherThe American Society of Mechanical Engineers (ASME)
    titleAerodynamic Design of Separate Jet Exhausts for Future Civil Aero engines—Part II: Design Space Exploration, Surrogate Modeling, and Optimization
    typeJournal Paper
    journal volume138
    journal issue8
    journal titleJournal of Engineering for Gas Turbines and Power
    identifier doi10.1115/1.4032652
    journal fristpage81202
    journal lastpage81202
    identifier eissn0742-4795
    treeJournal of Engineering for Gas Turbines and Power:;2016:;volume( 138 ):;issue: 008
    contenttypeFulltext
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