Parametric design and multi-objective optimization on blade high-pressure side of a pump-turbine

涡轮机 参数统计 计算流体力学 流量(数学) 刀(考古) 水轮机 边距(机器学习) 工程类 控制理论(社会学) 机械工程 计算机科学 结构工程 机械 数学 物理 统计 控制(管理) 机器学习 人工智能 航空航天工程
作者
Yonglin Qin,Donglin Li,Haotian Wang,Z S Liu,Xin Wei,X H Wang
出处
期刊:IOP conference series [IOP Publishing]
卷期号:1079 (1): 012040-012040
标识
DOI:10.1088/1755-1315/1079/1/012040
摘要

Abstract High pressure side, as the runner outlet at pump mode and runner inlet at turbine mode, playing an important role in controlling hydraulic loss and flow characteristics in vaneless region, affecting both steady characteristics and unsteady characteristics. While when it comes to three-dimensional inverse design of a pump-turbine blade, scholars are forces on the design method in runner flow channel, ignoring the geometry profile of high-pressure side. Hence, in present paper, concepts “swept”, “bowed (lean)” and “twisted” are innovatively introduced, eight new parameters are proposed to control the profile of blade high pressure side. And then a multi-objective optimization design system consisting of geometry generation, computational fluid dynamics, design of experiment, approximation model, multi-objective genetic algorithm, and self-organization map is built. Efficiency at both pump mode and turbine mode and S margin at turbine mode are selected as optimization objectives in the first optimization step. Then, the hump margin is regard as the objective in the second optimization step. Based on the two-step optimization, a runner with optimized high-pressure side is obtained and CFD results show that compared with the original runner, the efficiency at rated points and the margin of unsteady characteristics can be increased. The parametric design method on high-pressure side presented in our paper can be regard as an essential supplement to the traditional design method in hydraulic machinery.

科研通智能强力驱动
Strongly Powered by AbleSci AI
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
1秒前
unkoohh发布了新的文献求助10
3秒前
5秒前
7秒前
8秒前
9秒前
9秒前
9秒前
李健应助vivian采纳,获得10
10秒前
10秒前
10秒前
ccking发布了新的文献求助10
10秒前
11秒前
12秒前
MYLCX完成签到,获得积分10
12秒前
彭于晏应助怀民已就寝采纳,获得10
12秒前
小蘑菇应助怀民已就寝采纳,获得10
13秒前
顾矜应助狂暴的蜗牛0713采纳,获得10
13秒前
充电宝应助怀民已就寝采纳,获得10
13秒前
情怀应助怀民已就寝采纳,获得10
13秒前
小二郎应助怀民已就寝采纳,获得10
13秒前
13秒前
酷波er应助怀民已就寝采纳,获得10
13秒前
SciGPT应助怀民已就寝采纳,获得10
13秒前
酷波er应助怀民已就寝采纳,获得10
13秒前
深情安青应助怀民已就寝采纳,获得10
13秒前
852应助怀民已就寝采纳,获得10
13秒前
13秒前
简单的语风完成签到,获得积分10
14秒前
15秒前
DreamLly发布了新的文献求助10
15秒前
15秒前
跳跃书兰发布了新的文献求助10
16秒前
16秒前
16秒前
淡定酬海发布了新的文献求助10
17秒前
慕青应助大意的小馒头采纳,获得10
17秒前
lyk发布了新的文献求助10
18秒前
19秒前
景三发布了新的文献求助10
20秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Les Mantodea de Guyane: Insecta, Polyneoptera [The Mantids of French Guiana] 2500
Evidence Summary. Injection (subcutaneous):op- timal administration 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Curating Socialism: A Handbook of International Art Exhibitions 1947-1989 530
Soil mites of the family Rhagidiidae (Actinedida: Eupodoidea). Morphology, Systematics, Ecology 520
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7470999
求助须知:如何正确求助?哪些是违规求助? 9066199
关于积分的说明 19330102
捐赠科研通 7091406
什么是DOI,文献DOI怎么找? 3245789
关于科研通互助平台的介绍 2414349
邀请新用户注册赠送积分活动 2230655