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The aerothermodynamic cycle optimal design of a turbofan engine

  • Ming Chen , Boyang Chen and Haibo Zhang EMAIL logo
Published/Copyright: September 22, 2021
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Abstract

To ensure that the aerothermodynamic cycle design of a turbofan engine is more accurate, efficient, and provide a reliable decision-making basis for engine designers, the multi-objective particle swarm optimization (MOPSO) method was used to optimize the aerothermodynamic performance parameters of the turbofan engine at multiple design points (MDPs). Fuel consumption rate and the specific thrust were considered as optimization targets. The thrust requirements and cycle parameter constraints under each working state were comprehensively considered to obtain the optimal performance boundary of the engine, the corresponding cycle parameters, and the correlations between different requirements and constraints. The results showed that the MOPSO algorithm could accurately and completely obtain the optimal performance boundary surface of the engine in the feasible region and the corresponding cycle parameter value. The feasible region obtained by the aerothermodynamic cycle design at MDPs was more accurate and effective than the design at a single design point.


Corresponding author: Haibo Zhang, College of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China, E-mail:

Funding source: National Science and Technology Major Project http://dx.doi.org/10.13039/501100018537

Award Identifier / Grant number: J2019-II-0009-0053

Funding source: Aeronautics Power Foundation

Award Identifier / Grant number: 6141B09050385

Funding source: China Postdoctoral Science Foundation Funded Project

Award Identifier / Grant number: 2019M661835

  1. Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  2. Research funding: This study is supported by the National Science and Technology Major Project (Grant J2019-II-0009-0053), Aeronautics Power Foundation (Grant 6141B09050385), China Postdoctoral Science Foundation Funded Project (Grant 2019M661835).

  3. Conflict of interest statement: The authors declare no conflicts of interest regarding this article.

  4. Copyright reminder: If any material that is included in a paper is under copyright, the authors of the paper are responsible for obtaining copyright permissions, including any information required by the copyright holder, and be able to produce such permissions upon request.

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Received: 2021-09-01
Accepted: 2021-09-04
Published Online: 2021-09-22

© 2021 Walter de Gruyter GmbH, Berlin/Boston

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