Knowledge Management System of Institue of Mechanics, CAS
An improved inverse method for multirow blades of turbomachinery | |
Li AT1,2; Zhu YL1,2,3; Li W1,2,3; Wang X1,2,3; Qin W(秦伟)2,4; Chen HS1,2,3 | |
通讯作者 | Zhu Yangli(zhuyangli@iet.cn) |
发表期刊 | PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE |
2020-05-09 | |
页码 | 11 |
ISSN | 0954-4062 |
摘要 | A three-dimensional viscous inverse design method is improved and extended to multirow blades environment. The inverse method takes load distribution as optimization objective and is implemented into the time-marching finite-volume Reynolds-averaged Navier-Stokes solver. The camber line of rotor blade is updated by virtual displacement, which is calculated by characteristic compatibility relations according to the difference between target and actual load so as to control the location and intensity of shock wave, and realize the optimization of flow structure and reduction flow separation. The inlet and outlet geometry angles of stator blade are adjusted in real time according to the inlet and outlet flow angles. Thus, it is computationally ensured that the blade row interactions are accounted and optimization process is carried out under the design condition. To preserve the robustness of calculation, the maximum virtual displacement is limited by Y+ <10 and the camber line is smoothed via cubic B-spline interpolation. The complete blade profile is then generated by adding the prescribed blade thickness distribution to the camber line. The effectiveness of the method is demonstrated in the optimization of Stage35 compressor stage. Numerical results showed that this inverse method can effectively improve the internal flow structure and optimize the matching between blade rows, and this method is robust, efficient, and flexible. |
关键词 | Inverse design method multirow blades turbomachinery load distribution transonic compressor |
DOI | 10.1177/0954406220924451 |
收录类别 | SCI ; EI |
语种 | 英语 |
WOS记录号 | WOS:000534014100001 |
关键词[WOS] | DESIGN ; EULER |
WOS研究方向 | Engineering |
WOS类目 | Engineering, Mechanical |
资助项目 | National Key RD Plan of China[2017YFB0903605] ; National Science Fund for Distinguished Young Scholars of China[51925604] ; frontier science research project of CAS[QYZDB-SSW-JSC023] ; Transformational Technologies for Clean Energy and Demonstration, Strategic Priority Research Program of the Chinses Academy of Sciences[XDA21070200] ; Basic research plan of Guizhou Province, The Science and Technology Foundation of GuiThe Science and Technology Foundation of Guizhou Province[[2019]1283] |
项目资助者 | National Key RD Plan of China ; National Science Fund for Distinguished Young Scholars of China ; frontier science research project of CAS ; Transformational Technologies for Clean Energy and Demonstration, Strategic Priority Research Program of the Chinses Academy of Sciences ; Basic research plan of Guizhou Province, The Science and Technology Foundation of GuiThe Science and Technology Foundation of Guizhou Province |
论文分区 | Q3 |
力学所作者排名 | 5 |
RpAuthor | Zhu Yangli |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://dspace.imech.ac.cn/handle/311007/82013 |
专题 | 职能与支撑部门 |
作者单位 | 1.Chinese Acad Sci, Inst Engn Thermophys, West Rd 11,North 4th Ring, Beijing 100190, Peoples R China; 2.Univ Chinese Acad Sci, Beijing, Peoples R China; 3.Dalian Natl Lab Clean Energy, Dalian, Peoples R China; 4.Chinese Acad Sci, Inst Mech, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Li AT,Zhu YL,Li W,et al. An improved inverse method for multirow blades of turbomachinery[J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE,2020:11. |
APA | Li AT,Zhu YL,Li W,Wang X,秦伟,&Chen HS.(2020).An improved inverse method for multirow blades of turbomachinery.PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE,11. |
MLA | Li AT,et al."An improved inverse method for multirow blades of turbomachinery".PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE (2020):11. |
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