A Partially Integrated Approach to Component Zooming Using Computational Fluid Dynamics

Pachidis, Vassilios; Pilidis, Pericles; Guindeuil, Geoffrey; Kalfas, A. I.; Templalexis, Ioannis

doi:10.1115/gt2005-68457

Cited by 10 publications

(4 citation statements)

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“…Obviously, an appropriate simulation strategy should strike a balance between the calculated accuracy and the computational costs, particularly for predicting the response of a whole engine system to complex inlet distortion. Numerical zooming techniques [16][17][18][19] of coupling the high-fidelity component models to the low-fidelity engine analysis system have been widely applied to investigate the component performance in detail in the whole engine environment. Pachidis et al 20 performed the integration of two-dimensional (2D) streamline curvature component models with non-dimensional (0D) cycle analysis to predict the effect of radial distortion on the engine performance.…”

Section: Introductionmentioning

confidence: 99%

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A mixed-fidelity computational model of aero engine for inlet distortion

Guo

et al. 2019

Proceedings of the Institution of Mechanical Engineers, Part G:

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This paper presents a mixed-fidelity model to investigate the effect of complex inlet distortion on aero gas turbine engines. The approach is developed by integrating a three-dimensional body force model of multistage compressors and a classical two-dimensional parallel engine model. The internal flow field of a high bypass ratio turbofan engine under different forms of total pressure distortion is simulated by the model. The simulations are discussed in depth to reveal the features of the distorted flow field in the compression components under the whole engine environment. The relationship between the overall performance of the engine and the intensity of inlet total pressure distortion is investigated quantitatively. It is evident that the mixed-fidelity model has the capability to quantitatively evaluate the effect of complex inlet distortion on the performance and the internal flow field of engines with low computational costs.

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Section: Introductionmentioning

confidence: 99%

“…Figure18. Distributions of total pressure and total temperature at each stage outlet of booster stage.…”

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confidence: 99%

A mixed-fidelity computational model of aero engine for inlet distortion

Guo

et al. 2019

Proceedings of the Institution of Mechanical Engineers, Part G:

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“…Over the years, several 'zooming' research efforts have been reported utilizing mainly 2D and 3D CFD component models, integrated with low-fidelity engine simulation software. These same authors in Pachidis, et al (1,2,3,4) discussed the de-coupled, partial and full integration of 3D CFD component models with PYTHIA, the low-fidelity cycle analysis software developed at Cranfield University in the UK. Turner, et al (5) demonstrated a multi-fidelity simulation by NASA and GE of a turbofan engine with CFD component characteristics zoomed into 'partial' performance maps for a 0D cycle simulation.…”

Section: Introductionmentioning

confidence: 99%

Towards a full two dimensional gas turbine performance simulator

et al. 2007

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paper for one flight Mach number and angle of attack setting. More importantly, this research effort established the necessary methodology and technology required towards a full, two-dimensional engine cycle analysis at an affordable computational resource in the very short term. NOMENCLATURE AbbreviationsAoA angle-of-attack BPR bypass ratio CFD computational fluid dynamics CMF corrected mass flow DLL dynamic link library ETA isentropic efficiency GT gross thrust LES large-eddy simulation LBR low by-pass ratio OPR overall pressure ratio ABSTRACT In commercially available gas turbine performance simulation tools, individual engine components are typically represented with nondimensional maps of experimental or default data. In those cases where actual component characteristics are not available and default characteristics are used instead, conventional tools can deviate substantially at off-design and transient conditions. Similarly, when real component characteristics are available, conventional engine cycle simulation tools can not predict the performance of the engine at other than nominal conditions satisfactorily, or account for the impact of changes in component geometry.This study looked into the full integration of two-dimensional streamline curvature component models with a low fidelity cycle program. Firstly, the obtained engine performance was compared against the one calculated based on default component characteristics. As a second case study, a range of flight Mach numbers and angles of attack were examined together with the effect of three different intake lip geometries on the performance of a notional, two-spool, lowbypass ratio, military engine. Two-dimensional models were used in the engine cycle analysis to provide a more accurate, physics-and geometry-based estimate of intake and fan performances.The analysis carried out by this study demonstrated relative changes in the predicted engine performance larger than 1%. For briefness, representative results are presented and discussed in this THE AERONAUTICAL JOURNAL

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“…Over the years, several zooming research efforts have been reported utilizing mainly two-dimensional and three-dimensional computational fluid dynamics (CFD) component models, integrated with low-fidelity engine simulation software. These same authors in Pachidis et al [1][2][3][4] discussed explicitly the de-coupled, partial, and full integration of three-dimensional CFD component models with PYTHIA, the low-fidelity cycle analysis software developed at Cranfield University in the UK. Turner et al [5] demonstrated a multi-fidelity simulation by NASA and GE of a turbofan engine with CFD component characteristics zoomed into 'partial' performance maps for a zero-dimensional cycle simulation.…”

Section: Introductionmentioning

confidence: 99%

A comparison of component zooming simulation strategies using streamline curvature

Pachidis

Pilidis

Texeira

et al. 2007

Proceedings of the Institution of Mechanical Engineers, Part G:

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Typically gas turbine engine component characteristics are represented via non-dimensional maps of experimental or default data. In those cases where actual component characteristics are not available and default characteristics are used instead, conventional engine cycle simulation tools can deviate substantially at off-design and transient conditions. Similarly, when real component characteristics are available, conventional tools cannot predict the performance of the engine at other than nominal conditions satisfactorily, or account for the impact of changes in component geometry. Component zooming simulation strategies allow the performance characteristics of an isolated gas turbine engine component, resolved from a detailed, high-fidelity analysis, to be transferred to an engine system analysis carried out at a lower level of resolution. This study looked into the direct comparison of three, well-established zooming strategies utilizing a two-dimensional streamline curvature component model and a low fidelity cycle program. The validated performance of a two-dimensional, low-pressure, compressor model was integrated with a notional, two-spool, low-bypass ratio, military engine model, according to the 'de-coupled', 'iterative', and 'fully integrated' approaches to high-fidelity analysis. The two-dimensional model was used in the engine cycle analysis to provide a more accurate, physics-and geometry-based estimate of fan performance. Although large differences in the simulated engine performance were not observed as expected, this analysis provided a very valuable insight as to the actual speed of execution, practicality, applicability, and potential of the zooming strategies mentioned above. More importantly, this research effort established the necessary methodology and technology required towards a full, two-dimensional engine cycle analysis at an affordable computational resource in the very short term.

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A Partially Integrated Approach to Component Zooming Using Computational Fluid Dynamics

Cited by 10 publications

References 0 publications

A mixed-fidelity computational model of aero engine for inlet distortion

A mixed-fidelity computational model of aero engine for inlet distortion

Towards a full two dimensional gas turbine performance simulator

A comparison of component zooming simulation strategies using streamline curvature

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