火箭推进2018，Vol.44Issue(1)：15-21,7.
基于BQGA的重型液氧/煤油发动机柔性波纹管波形优化研究
Research on waveform optimization of flexible bellows for heavy LOX/kerosene engine based on BQGA
赵剑 1谭永华 2陈建华1
作者信息
- 1. 西安航天动力研究所,陕西 西安710100
- 2. 航天推进技术研究院,陕西 西安710100
- 折叠
摘要
Abstract
China's heavy LOX/kerosene engine will adopt a new overall layout which is named as"swing behind the pump", in which the flexible swaying assembly must bear high temperature, high pressure and oxygen enriched gas,and is one of the key technologies needing to be overcome first. The multi-layer bellows is a flexible joint which is used to compensate the deformation when the engine sways. In order to uncover the sensitivity relationship between waveform parameters of bellows from the micro-scopic view,as well as the their effects on the structural characteristics,the waveform optimization of the flexible bellows is regarded as a multivariable and multi-objective optimal problem,and the collaborative optimization are conducted base on parametric nonlinear finite element program and Bloch quantum genet-ic algorithm (BQGA). In addition, the polynomial response surface model is also used in the optimize process instead of direct finite element solution,which is great helpful for improving the optimization effi-ciency. The optimal waveform of bellows was obtained. The results indicate that, compared to reference bellows,the pressure-bearing capacity of optimal bellows is increased by 8.6%, while the deformation compensation stiffness is reduced by 41.32%.关键词
液氧/煤油发动机/量子遗传算法/柔性关节/波纹管优化Key words
LOX/kerosene engine/quantum genetic algorithm/flexible joint/bellows optimization分类
航空航天引用本文复制引用
赵剑,谭永华,陈建华..基于BQGA的重型液氧/煤油发动机柔性波纹管波形优化研究[J].火箭推进,2018,44(1):15-21,7.
