|Table of Contents|

Research on waveform optimization of flexible bellows for heavy LOX/kerosene engine based on BQGA(PDF)

《火箭推进》[ISSN:1672-9374/CN:CN 61-1436/V]

Issue:
2018年01期
Page:
15-21
Research Field:
研究与设计
Publishing date:

Info

Title:
Research on waveform optimization of flexible bellows for heavy LOX/kerosene engine based on BQGA
Author(s):
ZHAO Jian1;  TAN Yonghua2;  CHEN Jianhua1
1. Xi'an Aerospace Propulsion Institute, Xi'an 710100, China; 2. Academy of Aerospace Propulsion Technology, Xi'an 710100, China
Keywords:
LOX/kerosene engine;  quantum genetic algorithm;  flexible joint;  bellows optimization
PACS:
V434-34
DOI:
-
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 microscopic 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 genetic 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 efficiency. 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%.

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