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Research Papers

Balancing Configuration and Refinement in the Design of Two-Spool Multistage Compression Systems

[+] Author and Article Information
Jerome P. Jarrett

Mem. ASME
Department of Engineering,
University of Cambridge,
Trumpington Street,
Cambridge CB2 1PZ, UK
e-mail: jpj1001@cam.ac.uk

Tiziano Ghisu

Department of Engineering,
University of Cambridge,
Trumpington Street,
Cambridge CB2 1PZ, UK
e-mail: tg269@cam.ac.uk

1Corresponding author.

Contributed by the International Gas Turbine Institute (IGTI) of ASME for publication in the JOURNAL OF TURBOMACHINERY. Manuscript received March 2, 2015; final manuscript received March 11, 2015; published online March 31, 2015. Editor: Ronald Bunker.

J. Turbomach 137(9), 091008 (Sep 01, 2015) (8 pages) Paper No: TURBO-15-1036; doi: 10.1115/1.4030051 History: Received March 02, 2015; Revised March 11, 2015; Online March 31, 2015

With limited resources, time spent refining a design is time not spent in selecting its optimal configuration. A multi-fidelity optimization scheme is applied to the configuration and refinement of a generic core engine compression system. The best designs result from expending between half and three quarters of the total design effort on configuration selection. The performance of the refinement phase is a weak function of the preceding configuration phase when the latter is well into diminishing returns. By exploiting this behavior, the time taken to obtain equally good designs with the same analysis tools and computational resource may be halved.

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References

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Figures

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Fig. 1

Market share as a function of design “goodness” and time [1]

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Fig. 2

The effects of a faster process with the same technology [3]

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Fig. 3

The surge stagnate model [4]

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Fig. 4

Advancing the start of the next design phase

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Fig. 5

Modified tabu search algorithm [5]

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Fig. 6

Replacement local search loop multi-fidelity modification to the tabu search algorithm [5]

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Fig. 7

Generic core engine compression system

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Fig. 8

Datum complete configuration and refinement run for a core engine compression system

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Fig. 9

Refinement runs initiated between 0 and 150 configuration high-fidelity evaluations

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Fig. 10

Refinement runs initiated between 350 and 1000 configuration high-fidelity evaluations

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Fig. 11

Complete configuration and refinement runs with the latter initiated at 385 versus 1000 evaluations

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Fig. 12

Efficiency and surge margin during the fast process

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Fig. 13

Final system efficiency as a function of configuration/refinement balance

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