个人信息Personal Information
教授
博士生导师
硕士生导师
任职 : 现任中国工程热物理学会流体机械专委员会委员、中国航空学会学轻型燃气轮机分会委员、教育部重型燃气轮机教学资源库专家委员会委员、辽宁省能动类专业教指委副主任、大连市核事故应急指挥部专家组成员等职。
性别:女
毕业院校:大连理工大学
学位:硕士
所在单位:能源与动力学院
电子邮箱:dlwxf@dlut.edu.cn
Optimization of the cross section area on the meridian surface of the 1400-MW canned nuclear coolant pump based on a new medial axial transform design method
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论文类型:期刊论文
发表时间:2018-05-01
发表刊物:ANNALS OF NUCLEAR ENERGY
收录刊物:SCIE、EI
卷号:115
页面范围:466-479
ISSN号:0306-4549
关键字:Optimization; Cross section area distribution; Meridian surface; Canned nuclear coolant pump
摘要:Canned coolant pump is the only rotating part of the nuclear island, which provides continuous power for the medium circulation. Therefore, new innovative approaches to improve the pump's performances are of great significance. To adjust the hub and shroud profiles spontaneously and control the scale of the design parameters effectively, a special investigation about optimizing the distribution of the cross section area on the meridian surface would be done here. In order to represent the meridian shape accurately with the corresponding expected cross section area distribution, the new design strategy established on the Media Axis Transform (MAT) design theory was presented firstly. Then with the integration of the new meridian design approach, Computational Fluid Dynamic (CFD) analysis, Central Composite Design (CCD), Respond Surface Method (RSM) and Non-nominated Sorting Genetic Algorithm-II (NSGA-II), an optimization system was ultimately established. Taking the scale model of CAP1400 (on a scale of 1:2.5) as the reference, the optimal cross section area distribution was gotten successfully after the optimization. Ultimately, the optimal distribution of the cross section area was obtained, and through CFD analysis and inner flow analysis, it can be found that the performances of the optimal sample are improved in relative to the reference model from 0.8Q(d) to 1.2Q(d). Most importantly, at the design point, the increasement of efficiency is 1.7%, while the head improvement is about 2.6%. The study here is expected to provide a new strategy for the meridian surface optimization of the large-scale turbomachinery with front and rear matching parts. (C) 2018 Elsevier Ltd. All rights reserved.