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
我是老大应助白白采纳,获得30
1秒前
Atlantis完成签到,获得积分10
1秒前
xW12123发布了新的文献求助10
1秒前
1秒前
桐桐应助11111采纳,获得10
2秒前
3秒前
4秒前
4秒前
诚心香菇应助hh采纳,获得10
4秒前
4秒前
4秒前
5秒前
6秒前
闻元杰完成签到,获得积分10
6秒前
Delia发布了新的文献求助10
7秒前
Cecilia发布了新的文献求助30
7秒前
8秒前
Fengkuang发布了新的文献求助10
8秒前
格局发布了新的文献求助10
8秒前
wb完成签到 ,获得积分10
8秒前
9秒前
Godspeed完成签到,获得积分10
9秒前
白云发布了新的文献求助10
10秒前
日尧完成签到,获得积分10
10秒前
李庭福发布了新的文献求助10
12秒前
音玥完成签到,获得积分10
12秒前
多多完成签到 ,获得积分10
13秒前
14秒前
充电宝应助大漂亮采纳,获得10
14秒前
liu发布了新的文献求助10
14秒前
niuniu完成签到,获得积分20
14秒前
Hh完成签到,获得积分20
15秒前
molihuakai应助DA采纳,获得10
16秒前
Ava应助科研通管家采纳,获得10
16秒前
16秒前
酷波er应助科研通管家采纳,获得10
16秒前
SciGPT应助会飞的史迪奇采纳,获得10
16秒前
田様应助科研通管家采纳,获得10
16秒前
啵啵应助科研通管家采纳,获得10
17秒前
ding应助科研通管家采纳,获得10
17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
Organic Reactions, Volume 116 1500
VALIDATION OF THE TAYLOR, ALAMEL AND VPSC MODELS FOR PLASTIC ANISOTROPY MODELING OF SHEET METALS 1000
Geist der Kunst und Kultur 1000
Middleton's Allergy Principles and Practice 10th Edition(Middleton's Allergy 2-Volume Set, 10th Edition) 1000
Resistance Spot Welding Dataset for Automobile Body-in-White Quality Analysis 748
日本現代怪異事典 副読本 700
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 7403422
求助须知:如何正确求助?哪些是违规求助? 9008081
关于积分的说明 19180831
捐赠科研通 7037064
什么是DOI,文献DOI怎么找? 3231578
关于科研通互助平台的介绍 2393843
邀请新用户注册赠送积分活动 2213349