已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整的填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Optimization of geometric parameters of ejector for fuel cell system based on multi-objective optimization method

喷油器 喷嘴 夹带(生物音乐学) 混合(物理) 航程(航空) 机械 加权 控制理论(社会学) 计算流体力学 机械工程 材料科学 工程类 计算机科学 物理 声学 控制(管理) 量子力学 人工智能 节奏 复合材料
作者
Mingtao Hou,Fengxiang Chen,Yaowang Pei
出处
期刊:International Journal of Green Energy [Informa]
卷期号:21 (2): 228-243 被引量:5
标识
DOI:10.1080/15435075.2023.2195919
摘要

ABSTRACTABSTRACTIn this study, the multi-objective orthogonal experiment is employed to optimize the geometric parameters of the ejector. The optimization objective is determined by applying linear weighting to the entrainment ratios for 100 SLPM and 990 SLPM operating conditions. Four geometric parameters are optimized, including the nozzle exit diameter, nozzle exit position, mixing chamber length, the mixing chamber diameter. Moreover, Computational Fluid Dynamics simulations are performed, and the effects of each geometric parameter and the interaction between parameters on the performance of the ejector are ranked by range analysis. The results show that the mixing chamber diameter has the most significant impact on the optimization objective, and the degree of influence of the other factors and interactions on the entrainment ratio varies for different operating conditions. Compared with the initial parameters, the parameters obtained by the multi-objective optimization method have an average improvement of 96% in entrainment ratio over the full operating range, and the experimental results are in general agreement with the simulation results. The adaptability analysis of the ejector performance indicates that the ejector optimized by the multi-objective optimization method can meet the hydrogen excess ratio requirements for the full operating range of the fuel cell system.KEYWORDS: Fuel cellEjectorHydrogen recirculationMulti-objective orthogonal experimentGeometric parameters optimization AcknowledgementsThis work was supported by the [Key Technology R&D Program of Anhui Province] under Grant [Number 2019b05050004]; [National Natural Science Foundation of China] under Grant [Number U21A20166].Disclosure statementNo potential conflict of interest was reported by the authors.Additional informationFundingThe work was supported by the National Natural Science Foundation of China [U21A20166]; Key Technology R&D Program of Anhui Province [2019b05050004].
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
虚心天思发布了新的文献求助10
1秒前
无尘发布了新的文献求助10
2秒前
3秒前
4秒前
莫言发布了新的文献求助10
6秒前
7秒前
8秒前
abbo完成签到,获得积分10
8秒前
Membranes发布了新的文献求助10
9秒前
ShowMaker应助莫言采纳,获得20
12秒前
ShowMaker应助莫言采纳,获得20
12秒前
呵呵哒发布了新的文献求助20
12秒前
Luke发布了新的文献求助10
13秒前
迷途发布了新的文献求助10
13秒前
14秒前
花痴的骁完成签到 ,获得积分10
14秒前
sam完成签到,获得积分10
14秒前
15秒前
15秒前
奔奔完成签到,获得积分10
15秒前
16秒前
Masetti1完成签到 ,获得积分10
17秒前
18秒前
19秒前
19秒前
cquank完成签到 ,获得积分10
19秒前
嗷呜嗷呜发布了新的文献求助10
19秒前
20秒前
hnxxangel发布了新的文献求助10
20秒前
爱笑的梨愁完成签到,获得积分10
20秒前
科目三应助hphhh采纳,获得30
22秒前
Windfall完成签到,获得积分10
23秒前
left_right完成签到,获得积分10
24秒前
阿童木发布了新的文献求助10
26秒前
英俊的铭应助迷途采纳,获得10
27秒前
5cdc应助呵呵哒采纳,获得10
27秒前
30秒前
xiaoran发布了新的文献求助10
32秒前
33秒前
33秒前
高分求助中
Evolution 10000
Sustainability in Tides Chemistry 2800
The Young builders of New china : the visit of the delegation of the WFDY to the Chinese People's Republic 1000
юрские динозавры восточного забайкалья 800
English Wealden Fossils 700
Foreign Policy of the French Second Empire: A Bibliography 500
Chen Hansheng: China’s Last Romantic Revolutionary 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3146409
求助须知:如何正确求助?哪些是违规求助? 2797811
关于积分的说明 7825638
捐赠科研通 2454147
什么是DOI,文献DOI怎么找? 1306157
科研通“疑难数据库(出版商)”最低求助积分说明 627642
版权声明 601503