Volume 36 Issue 8
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Article Navigation >  Journal of Aerospace Power  > 2021  >  36(8): 1680-1689
XIE Li, LIU Zheng, ZHANG Jijun, LONG Changjiang, ZHANG Yong. Application of ant colony algorithm in wide-chord fan blade sequencing optimization[J]. Journal of Aerospace Power, 2021, 36(8): 1680-1689. doi: 10.13224/j.cnki.jasp.20200476
Citation: XIE Li, LIU Zheng, ZHANG Jijun, LONG Changjiang, ZHANG Yong. Application of ant colony algorithm in wide-chord fan blade sequencing optimization[J]. Journal of Aerospace Power, 2021, 36(8): 1680-1689. doi: 10.13224/j.cnki.jasp.20200476
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Application of ant colony algorithm in wide-chord fan blade sequencing optimization

doi: 10.13224/j.cnki.jasp.20200476

  • MTU Maintenance Zhuhai Company Limited, Zhuhai Guangdong 519030, China

  • Received Date: 2020-11-07
  • Publish Date: 2021-08-28
    Abstract
  • Based on the mechanical model of the fan rotor, the formulas for the calculation of static unbalance and couple unbalance considering three-dimensional mass moment were deduced, the assembly and test result of a set of fan blades showed that this unbalance calculation method can significantly reduce the use of counterweight block and the times of balancing. An improved ant colony algorithm based on neighborhood search was proposed to optimize the sequencing of fan blades. The improved ant colony algorithm had an obvious superiority, its optimal unbalance was 88. 9% less than the conventional ant colony algorithm, and 36. 8% less than the improved genetic algorithm.

     

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