Volume 21 Issue 1
Feb.  2006
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Article Navigation >  Journal of Aerospace Power  > 2006  >  21(1): 13-18
LI Li-jun, YIN Zeyong, QIAO Wei-yang. Performance Optimal Design of Aircraft Engine Based on Multi-Objective Genetic Algorithms[J]. Journal of Aerospace Power, 2006, 21(1): 13-18.
Citation: LI Li-jun, YIN Zeyong, QIAO Wei-yang. Performance Optimal Design of Aircraft Engine Based on Multi-Objective Genetic Algorithms[J]. Journal of Aerospace Power, 2006, 21(1): 13-18.
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Performance Optimal Design of Aircraft Engine Based on Multi-Objective Genetic Algorithms

  • 1.

    School of Power and Engergy, Northwestern Polytechnical University, Xi'an 710072, China

  • 2.

    China Aviation Powerplant Research Institute, Zhuzhou 412002, China

  • Received Date: 2005-03-27
  • Rev Recd Date: 2005-10-03
  • Publish Date: 2006-02-28
    Abstract
  • Multi-objective optimization concepts,linked with a Pareto genetic algorithm-Non-dominated Sorting Genetic Algorithm(NSGA Ⅱ),are applied to the preliminary design phase to automate the conceptual design process.Engine cycle selected for study was a mixed-stream,low-bypass turbofan.The robust analysis codes for the thermodynamic engine cycle,flowpath and weight estimation analyses were integrated to find higher quality design.The results showed that NSGA Ⅱ has better robustness and convergence than general multi-objective optimization methods,and could generate uniformly a Pareto optimal set in the design space.From this set,decision maker can choose the best overall optimum aircraft engine preliminary design.

     

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