蚁群算法在宽弦风扇叶片优化排序中的应用

谢立; 刘政; 张继君; 龙长江; 张勇

doi:10.13224/j.cnki.jasp.20200476

蚁群算法在宽弦风扇叶片优化排序中的应用

doi: 10.13224/j.cnki.jasp.20200476

珠海保税区摩天宇航空发动机维修有限公司, 广东珠海 519030

详细信息

作者简介:
谢立(1990-),男,工程师,硕士,主要从事民用航空发动机大修工作。

中图分类号: V232.4
计量
- 文章访问数: 115
- HTML浏览量: 9
- PDF量: 100
- 被引次数: 0
出版历程
- 收稿日期: 2020-11-07
- 刊出日期: 2021-08-28

Application of ant colony algorithm in wide-chord fan blade sequencing optimization

MTU Maintenance Zhuhai Company Limited, Zhuhai Guangdong 519030, China

摘要

摘要: 从风扇转子的力学模型出发，推导了同时考虑三个维度质量矩的风扇转子静不平衡量和偶不平衡量的计算公式，并使用某型发动机风扇叶片装配和试车验证，结果表明考虑三个维度质量矩的不平衡量计算方法能显著减少配重块的使用，并减少配平次数。提出了基于邻域搜索改进的蚁群算法的风扇叶片排序优化方法，对某套风扇叶片进行优化排序。本优化算法的最优不平衡量比传统蚁群算法减少88.9%，比改进的遗传算法减少36.8%，优势明显。
- 邻域搜索 /
- 蚁群算法 /
- 宽弦 /
- 风扇叶片 /
- 优化排序
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.
- neighborhood search /
- ant colony algorithm /
- wide-chord /
- fan blade /
- sequencing optimization

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参考文献(18)

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