基于离散粒子群算法的航空发动机总装工艺优化方法

为了提高航空发动机总装工作的效率与质量,加强对总装工序和总装机件的管控,量化不同总装人员工作任务量,提高发动机总装的一致性和可追溯性,提出了1种发动机总装分区优化方法。以改进的2进制粒子群算法为基础,平衡了发动机总装各区域的工作内容,最小化各总装区域的工作差异,增强了每个区域装配机件的关联度,提高了总装工作的并行度,从而提高了装配质量。以某型发动机总装区域划分工作为实例,通过上述算法进行了总装区域划分,量化了所有装配区域每一工序的具体装配内容,减小了不同装配区域间的机件差异,杜绝了缺件、剩件等装配问题。

Optimization Method of Aeroengine Final Assembly Process Based on Discrete Particle Swarm Algorithm

In order to improve the efficiency and quality of aeroengine final assembly,strengthen the control of final assembly process and final assembly parts,quantify the amount of work tasks of different final assembly personnel,improve the consistency and traceability of engine final assembly,an optimization method of engine final assembly partition was put forward. On the basis of the improved binary system particle swarm algorithm,the working contents of each area of the engine final assembly were balanced,the working difference of each final assembly area was minimized,the degree of association of the final assembly parts in each area was enhanced,the parallelism of the final assembly work was improved,and the assembly quality was improved. Taking the final assembly area division of a certain type of engine as an example,the final assembly area division was carried out through the above algorithm,the specific assembly content of each process in assembly areas was quantified,the difference of parts among different assembly areas was reduced,and the assembly problems such as missing parts and leftover parts were eliminated.