不规则燃油箱惰化系统进出口优化方法

邵垒; 彭阳; 卢夏; 张超; 贺佳伟; 杨文举

doi:10.13700/j.bh.1001-5965.2021.0768

不规则燃油箱惰化系统进出口优化方法

doi: 10.13700/j.bh.1001-5965.2021.0768

邵垒^{1, 2, ,},
彭阳^{1, 2},
卢夏³,
张超³,
贺佳伟¹,
杨文举¹

1.
重庆交通大学航空学院，重庆 400074
2.
重庆交通大学绿色航空技术研究院，重庆 401120
3.
合肥江航飞机装备股份有限公司，合肥 230051

基金项目: 国家自然科学基金委员会-中国民航局民航联合研究基金(U1933121)；重庆市教委科学技术研究项目(KJQN201900738)；飞行器环境控制与生命保障工业和信息化部重点实验室开放课题(KLAECLS-E-202002)

详细信息

通讯作者:
E-mail：shaolei@cqjtu.edu.cn

中图分类号: V228
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- 文章访问数: 137
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- 被引次数: 0
出版历程
- 收稿日期: 2021-12-20
- 录用日期: 2022-01-27
- 网络出版日期: 2022-03-01
- 整期出版日期: 2023-10-31

Optimization method for inlet and outlet of irregular fuel tank inerting system

SHAO Lei^{1, 2
, ,},
PENG Yang^{1, 2},
LU Xia³,
ZHANG Chao³,
HE Jiawei¹,
YANG Wenju¹

1.
School of Aeronautics，Chongqing Jiaotong University，Chongqing 400074，China
2.
The Green Aerotechnics Research Institute of Chongqing Jiaotong University，Chongqing，401120，China
3.
Hefei Jianghang Aircraft Equipment Co.，Ltd.，Hefei 230051，China

Funds: National Natural Science Foundation of China-Civil Aviation Joint Research Fund of China (U1933121); Science and Technology Research Program of Chongqing Municipal Education Commission (KJQN201900738); Fund of Key Laboratory of Aircraft Environment Control and Life Support of MIIT (KLAECLS-E-202002)

More Information

Corresponding author: E-mail：shaolei@cqjtu.edu.cn

摘要

摘要:
为解决不规则燃油箱惰化时，出现的氧体积分数分布不均匀、惰化区域不充分的难题，以熵权改进优劣解距离（TOPSIS）理论为基础，提出一种适用于不规则油箱惰化系统的优化方法，并结合数值仿真方法进行综合评价，实现波音747飞机惰化系统进出口的优化设计。结果表明：根据熵权改进TOPSIS理论设计的惰化方案，不仅可以降低惰性气体流量需求，而且可以使得惰化空间氧体积分数分布更为均匀；优化后的波音747飞机惰化方案，综合性能指标提升22.67%，速度性指标提升2.97%，均匀性指标提升27.78%；单侧偏置惰化方案设计思路，可以增加流通路径、延长惰性气体存续时间，使得油箱惰化时氧气分布更为均匀、氧体积分数下降迅速。
- 燃油箱惰化 /
- 惰化系统 /
- 惰性气体 /
- 惰化方案 /
- 优劣解距离 /
- 数值仿真
Abstract:
An optimization method appropriate for the irregular fuel tank inerting system is proposed based on the Entropy-weight improvement TOPSIS method in order to address the issues of uneven oxygen distribution and insufficient inerting when the irregular fuel tank is inserted. When combined with the numerical simulation method, the comprehensive evaluation is carried out, and the optimization design for the Boeing 747 inerting system is then realized. The results show that: The inerting scheme designed by the Entropy-weight improvement TOPSIS method can not only reduce the flow demand of inert gas but also make the oxygen distribution more uniform. The optimization inerting scheme of Boeing 747 aircraft has improved the comprehensive performance metrics by 22.67%, the speed metrics by 2.97%, and the uniformity metrics by 27.78%. The design idea of a “one-side bias placement ” inerting scheme can increase the flow path and prolong the existence time of inert gas so that the oxygen distribution is more uniform and the oxygen concentration decreases rapidly when the fuel tank is inserted.
- fuel tank inerting /
- inerting system /
- inert gas /
- inerting scheme /
- TOPSIS /
- numerical simulation

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图 1 波音747飞机中央翼油箱结构及网格划分

Figure 1. Fuel tank structure and spatial mesh of Boeing 747 center wing tank

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图 2 仿真结果与实验结果对比

Figure 2. Comparison between simulation and experimental results

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图 3 惰化系统进出口优化方案

Figure 3. Optimization scheme of inlet and outlet for inserting system

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图 4 氧体积分数分布对比

Figure 4. Comparison of oxygen concentration distribution

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表 1 各方案的速度性指标

Table 1. Speed metrics of each scheme s

方案	Bay1	Bay2	Bay3	Bay4	Bay5	Bay6
原方案	1289.8	669.2	115.7	348.9	690.6	738.6
1	1220.9	580.6	743.3	900.5	298.5	790.2
2	1168.4	509.5	226.9	678.8	835.8	964.4
3	997.9	718.6	427.1	700.7	149.7	396.8
4	1275.2	675.3	413.9	698.3	150.4	406.1
5	1413.4	839.6	406.0	535.3	151.1	393.1

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表 2 各方案的均匀性指标

Table 2. Uniformity metrics of each scheme 10⁻³

方案	Bay1	Bay2	Bay3	Bay4	Bay5	Bay6
原方案	5.106	5.302	0.005	0.725	4.975	3.319
1	4.621	4.620	5.380	3.515	1.001	9.010
2	6.964	3.714	0.338	7.169	6.390	4.772
3	2.601	6.687	1.113	3.336	0.025	1.628
4	5.324	5.164	0.918	3.492	0.029	1.641
5	4.763	5.443	0.830	1.659	0.028	1.310

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表 3 各项指标的熵值与熵权

Table 3. Entropy value and entropy weight of each metric

指标	熵值E_j	熵权W_j
Bay1速度性	0.997	0.002
Bay2速度性	0.993	0.005
Bay3速度性	0.928	0.053
Bay4速度性	0.979	0.015
Bay5速度性	0.857	0.104
Bay6速度性	0.962	0.027
Bay1均匀性	0.980	0.015
Bay2均匀性	0.992	0.006
Bay3均匀性	0.644	0.258
Bay4均匀性	0.897	0.075
Bay5均匀性	0.531	0.340
Bay6均匀性	0.862	0.100

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表 4 综合评价结果

Table 4. Comprehensive evaluation results

方案	$D_{i^+} $	$D_{i^-} $	M_i	排名
原方案	0.265	0.213	0.445	4
1	0.232	0.262	0.531	5
2	0.235	0.280	0.543	6
3	0.344	0.057	0.142	3
4	0.348	0.050	0.125	2
5	0.353	0.041	0.104	1

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表 5 各性能指标提升效果

Table 5. Improvement effect of each performance metrics

方案	提升率/%
方案	速度性指标	均匀性指标	综合性能指标
1	−17.68	−44.85	−39.25
2	−13.78	−51.02	−43.35
3	11.99	20.80	18.99
4	6.06	14.74	12.95
5	2.97	27.78	22.67

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