Research Papers: Gas Turbines: Aircraft Engine

On the Optimization of a Geared Fan Intercooled Core Engine Design

[+] Author and Article Information
Konstantinos G. Kyprianidis

Future Energy Center,
Mälardalen University (MDH),
Västerås 721 23, Sweden
e-mail: konstantinos.kyprianidis@mdh.se;

Andrew M. Rolt

Rolls-Royce plc,
Derby DE24 8BJ, UK

1Secondary affiliation: Centre of Propulsion, Cranfield University, Bedfordshire MK43 0AL, UK.

Contributed by the Cycle Innovations Committee of ASME for publication in the JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER. Manuscript received July 10, 2014; final manuscript received July 13, 2014; published online October 28, 2014. Editor: David Wisler.

J. Eng. Gas Turbines Power 137(4), 041201 (Oct 28, 2014) (10 pages) Paper No: GTP-14-1367; doi: 10.1115/1.4028544 History: Received July 10, 2014; Revised July 13, 2014

Reduction of CO2 emissions is strongly linked with the improvement of engine specific fuel consumption (SFC), as well as the reduction of engine nacelle drag and weight. One alternative design approach to improving SFC is to consider a geared fan combined with an increased overall pressure ratio (OPR) intercooled core performance cycle. Thermal benefits from intercooling have been well documented in the literature. Nevertheless, there is little information available in the public domain with respect to design space exploration of such an engine concept when combined with a geared fan. The present work uses a multidisciplinary conceptual design tool to further analyze the option of an intercooled core geared fan aero engine for long haul applications with a 2020 entry into service technology level assumption. The proposed design methodology is capable, with the utilized tool, of exploring the interaction of design criteria and providing critical design insight at engine–aircraft system level. Previous work by the authors focused on understanding the design space for this particular configuration with minimum SFC, engine weight, and mission fuel in mind. This was achieved by means of a parametric analysis, varying several engine design parameters—but only one at a time. The present work attempts to identify “globally” fuel burn optimal values for a set of engine design parameters by varying them all simultaneously. This permits the nonlinear interactions between the parameters to be accounted for. Special attention has been given to the fuel burn impact of the reduced high pressure compressor (HPC) efficiency levels associated with low last stage blade heights. Three fuel optimal designs are considered, based on different assumptions. The results indicate that it is preferable to trade OPR and pressure ratio split exponent, rather than specific thrust, as means of increasing blade height and hence reducing the associated fuel consumption penalties. It is interesting to note that even when considering the effect of HPC last stage blade height on efficiency there is still an equivalently good design at a reduced OPR. This provides evidence that the overall economic optimum could be for a lower OPR cycle. Customer requirements such as take-off distance and time to height play a very important role in determining a fuel optimal engine design. Tougher customer requirements result in bigger and heavier engines that burn more fuel. Higher OPR intercooled engine cycles clearly become more attractive in aircraft applications that require larger engine sizes.

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Fig. 1

General arrangement of the direct drive fan intercooled core configuration [20]

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Fig. 2

General arrangement of the geared fan intercooled core configuration [20]

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Fig. 3

Conceptual design tool algorithm [23]

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Fig. 4

Performance model of the geared fan intercooled core configuration [20]

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Fig. 5

Compressor polytropic efficiency correction versus last stage blade height

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Fig. 6

Sensitivity analysis for different technology target parameters

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Fig. 7

Optimal design parameter values for minimum business case block fuel

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Fig. 8

Optimal design parameter values for minimum business case block fuel with correction for HPC efficiency

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Fig. 9

Effect of customer requirements on engine weight and business case block fuel




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