Volume 8: Turbomachinery, Parts A, B, and C 2012
DOI: 10.1115/gt2012-69211
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Multiobjective Optimization for Duct and Strut Design of an Annular Exhaust Diffuser

Abstract: This paper describes the aerodynamic optimization of a typical exhaust diffuser for a heavy duty gas turbine. The objective is to maximize diffuser performance and, in this way, pressure recovery by optimizing the geometry for two given inlet conditions. To validate and adjust the numerical set-up, experimental data from measurements on the test model is used. The numerical results obtained by using TRACE compares with the experimental results. An optimization process is applied u… Show more

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Cited by 5 publications
(3 citation statements)
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“…On the basis, in order to meet the design requirements and to maximize the aerodynamic performance of turbine-volute systems, the parametric optimization tool has been adopted to obtain the best results of exhaust volutes. Schaefer et al 45 described the aerodynamic multiobjective optimization process of an exhaust diffuser for turbomachinery by using the framework AutoOpti developed by DLR. It combines evolutionary strategies with surrogate models in order to select optimal geometric parameters.…”
Section: Design Optimization Of Exhaust Volutes Towards Improving the Turbine-volute Performancementioning
confidence: 99%
“…On the basis, in order to meet the design requirements and to maximize the aerodynamic performance of turbine-volute systems, the parametric optimization tool has been adopted to obtain the best results of exhaust volutes. Schaefer et al 45 described the aerodynamic multiobjective optimization process of an exhaust diffuser for turbomachinery by using the framework AutoOpti developed by DLR. It combines evolutionary strategies with surrogate models in order to select optimal geometric parameters.…”
Section: Design Optimization Of Exhaust Volutes Towards Improving the Turbine-volute Performancementioning
confidence: 99%
“…We note that this gradient enhanced Kriging approach is a direction of ongoing development for the in house optimization process AuoOpti at the German Aerospace Center (DLR), see e.g. [85,57] for design studies using the AutoOpti framework. In our future work, we therefore intend to benchmark the EGO-based use of gradient information with the multi criteria descent algorithms and identify their respective advantages for gas turbine design.…”
Section: Gradient Enhanced Kriging For Efficient Objective Function A...mentioning
confidence: 99%
“…Hirschmann et al 26 and Volkmer et al 27 presented the hub extension and injection to control the separation of the diffuser and improve the aerodynamic performance of the exhaust diffuser. Schaefer et al 28 developed the multi-objective aerodynamic optimization of the duct and struts for maximization of the static pressure recovery performance of the exhaust diffuser at two inlet flow conditions. Guillot et al, 29 Xue et al 30 and Siorek et al 31 systematically investigated the flow field and aerodynamic performance of the diffuser-collector exhaust system for industrial gas turbines by experimental measurements and numerical simulations.…”
Section: Introductionmentioning
confidence: 99%