整机环境下离心压气机叶轮流固耦合不确定性量化分析

徐永祥; 宋嘉涛; 张本瑞; 李震; 琚亚平; 张楚华

doi:10.7652/xjtuxb202410011

您当前的位置：

首页 >

文章列表页 >

整机环境下离心压气机叶轮流固耦合不确定性量化分析

—————————————————————— | 更新时间：2025-07-28

- 整机环境下离心压气机叶轮流固耦合不确定性量化分析
- Uncertainty Quantification of Fluid-Solid Interaction of Centrifugal Compressor Impeller in Whole Machine Environment
- 西安交通大学学报 2024年58卷第10期页码：121-132
- 作者机构：
  
  1. 西安交通大学能源与动力工程学院,西安,710049
  2. 比亚迪汽车工业有限公司,广东,深圳,518118
- 作者简介：
  
  : 2024-01-04。作者简介: 徐永祥(1999—),男,硕士生
  李震(通信作者),男,助理教授,硕士生导师。基金项目: 国家自然科学基金资助项目(52376030,52206051)。
- 基金信息：
  
  : 2024-01-04。作者简介: 徐永祥(1999—),男,硕士生;李震(通信作者),男,助理教授,硕士生导师。基金项目: 国家自然科学基金资助项目(52376030,52206051)。
- DOI：10.7652/xjtuxb202410011
  中图分类号： TK14
- 网络首发：2024-10-10，
  
  纸质出版：2024
- 稿件说明：
移动端阅览
徐永祥, 宋嘉涛, 张本瑞, 等. 整机环境下离心压气机叶轮流固耦合不确定性量化分析[J]. 西安交通大学学报, 2024,58(10):121-132.

XU Yongxiang, SONG Jiatao, ZHANG Benrui, et al. Uncertainty Quantification of Fluid-Solid Interaction of Centrifugal Compressor Impeller in Whole Machine Environment[J]. 2024, 58(10): 121-132.
徐永祥, 宋嘉涛, 张本瑞, 等. 整机环境下离心压气机叶轮流固耦合不确定性量化分析[J]. 西安交通大学学报, 2024,58(10):121-132. DOI： 10.7652/xjtuxb202410011.

XU Yongxiang, SONG Jiatao, ZHANG Benrui, et al. Uncertainty Quantification of Fluid-Solid Interaction of Centrifugal Compressor Impeller in Whole Machine Environment[J]. 2024, 58(10): 121-132. DOI： 10.7652/xjtuxb202410011.

摘要

针对流固耦合不确定性量化计算中精度和成本难以有效平衡的问题

从某涡轮增压器离心压气机双向流固耦合计算出发

提出了考虑叶片热态变形和蜗壳非对称影响的离心压气机内流场计算简化模型

并结合集成代理模型和蒙特卡罗方法

开展了整机环境下离心压气机叶轮流固耦合的不确定性量化分析。数值结果表明:在保证计算精度的前提下

相较于整机流固耦合模型

提出的简化模型将计算时间缩短了83%～98%; 材料属性不确定性对叶轮效率的影响大于转速不确定性

密度、泊松比和弹性模量3种不确定性因素对叶轮效率的影响程度相当

转速对叶片热态变形不确定性的影响程度在转速不确定性中最为显著; 叶片热态变形不确定性对叶轮效率的影响主要体现在效率均值的变化

而与热态变形无关的转速自身、叶轮出口非对称流场等不确定性因素对叶轮效率的影响主要体现在分散度的变化。研究工作突显了流固耦合分析在离心压气机不确定性量化分析中的必要性

为今后开展鲁棒优化设计提供了理论基础。

Abstract

To balance the computational accuracy and cost in uncertainty quantification of fluid-solid interaction

a simplified numerical model for the internal flow field of centrifugal compressors is proposed based on two-way fluid-solid interaction of a turbocharger centrifugal compressor and with the hot deformation of blades and the asymmetric effect of volute taken into account. Combined with integrated surrogate models and Monte Carlo method

uncertainty quantification of fluid-solid interaction of centrifugal compressor impeller is carried out in whole machine environment. The results show the simplified model proposed can reduce the computational time by 83% to 98% compared with the fluid-solid interaction model of whole machine while the computational accuracy remains. The impact of material property uncertainty on impeller efficiency is greater than that of rotational speed uncertainty. Three uncertainty factors of density

Poisson's ratio and elastic modulus yielded equivalent impacts on impeller efficiency. Among the rotational speed uncertainties

the induced hot deformation of blades had the most significant impact. The impact of hot deformation of blades on impeller efficiency is mainly reflected in terms of mean value

while uncertainty factors unrelated to hot deformation

such as rotational speed itself and asymmetric flow field at the impeller outlet

mainly affected impeller efficiency in terms of scatter

with the former being the main factor affecting impeller efficiency variation. This study highlights the necessity of fluid-solid interaction in uncertainty quantification of centrifugal compressors and lays a theoretical foundation for robust design optimization of centrifugal compressors.

关键词

Keywords

references

位景山, 郑群, 闫巍, 等. 基于气动激励特征的压气机叶片高周疲劳分析 [J]. 哈尔滨工程大学学报, 2023, 44(9): 1579-1589.

WEI Jingshan, ZHENG Qun, YAN Wei, et al. High cycle fatigue analysis of compressor blade based on aerodynamic excitation characteristics [J]. Journal of Harbin Engineering University, 2023, 44(9): 1579-1589.

LEJON M, ANDERSSON N, ELLBRANT L, et al. The impact of manufacturing variations on performance of a transonic axial compressor rotor [J]. Journal of Turbomachinery, 2020, 142(8): 081009.

唐新姿, 肖鹏, 王喆, 等. 多载荷变形工况下离心压气机叶轮气动优化设计 [J]. 工程热物理学报, 2019, 40(8): 1741-1750.

TANG Xinzi, XIAO Peng, WANG Zhe, et al. Aerodynamic optimal design of centrifugal compressor impeller under multi-load deformation condition [J]. Journal of Engineering Thermophysics, 2019, 40(8): 1741-1750.

OBERKAMPF W L, DELAND S M, RUTHERFORD B M, et al. Error and uncertainty in modeling and simulation [J]. Reliability Engineering System Safety, 2002, 75(3): 333-357.

罗庆怡, 梅琦, 胡晓兵, 等. 基于流固耦合的压气机叶片拓扑优化研究 [J]. 组合机床与自动化加工技术, 2022(2): 6-9.

LUO Qingyi, MEI Qi, HU Xiaobing, et al. Research on topology optimization of compressor blade based on fluid-structure coupling [J]. Modular Machine Tool Automatic Manufacturing Technique, 2022(2): 6-9.

王定标, 韩落乐, 王光辉, 等. 基于流固耦合的离心式压气机叶轮叶片仿真研究 [J]. 热科学与技术, 2020, 19(1): 64-71.

WANG Dingbiao, HAN Luole, WANG Guanghui, et al. Simulation research on impeller blade of centrifugal compressor based on fluid-structure coupling [J]. Journal of Thermal Science and Technology, 2020, 19(1): 64-71.

DANILISHIN A, PETROV A, KOZHUKHOV Y, et al. Fluid-structure interaction analyze for the centrifugal compressor 3d impellers [C]//IOP Conference Series: Materials Science and Engineering. Bristol, UK: IOP Publishing, 2020: 012010.

AISSA M H, VERSTRAETE T. Metamodel-assisted multidisciplinary design optimization of a radial compressor [J]. International Journal of Turbomachinery, Propulsion and Power, 2019, 4(4): 35.

HAZBY H, WOODS I, CASEY M, et al. Effects of blade deformation on the performance of a high flow coefficient mixed flow impeller [J]. Journal of Turbomachinery, 2015, 137(12): 121005.

杨长灵, 李雨润, 姬成, 等. 离心叶轮叶片变形对性能的影响及预变形设计 [J]. 工程热物理学报, 2023, 44(8): 2098-2105.

YANG Changling, LI Yurun, JI Cheng, et al. Effects of blade deformation on the performance and pre-deformation design of a centrifugal impeller [J]. Journal of Engineering Thermophysics, 2023, 44(8): 2098-2105.

王宏亮, 席光. 离心叶轮几何形变对气动性能的影响 [J]. 西安交通大学学报, 2009, 43(5): 46-50.

WANG Hongliang, XI Guang. Influence of centrifugal blade deformation on impeller aerodynamic performance [J]. Journal of Xi'an Jiaotong University, 2009, 43(5): 46-50.

刘向阳, 辛建池, 吴化银, 等. 闭式叶轮变形对离心压缩机性能及气动载荷的影响 [J]. 大连海事大学学报, 2022, 48(2): 82-90.

LIU Xiangyang, XIN Jianchi, WU Huayin, et al. Influence of closed impeller deformation on the performance and the aerodynamic load of centrifugal compressor [J]. Journal of Dalian Maritime University, 2022, 48(2): 82-90.

唐新姿, 王喆, 王效禹, 等. 多源不确定耦合下离心压气机叶轮气动稳健性 [J]. 航空动力学报, 2020, 35(1): 196-204.

TANG Xinzi, WANG Zhe, WANG Xiaoyu, et al. Aerodynamic robustness of centrifugal compressor impeller under multi-source uncertainty coupling [J]. Journal of Aerospace Power, 2020, 35(1): 196-204.

GOPINATHRAO N P, BAGSHAW D, MABILAT C, et al. Non-deterministic CFD simulation of a transonic compressor rotor [C]//ASME Turbo Expo 2009: Power for Land, Sea, and Air. New York, USA: ASME, 2009: 1125-1134.

傅珏, 蒋伟, 柳一鸣, 等. 叶顶间隙几何不确定性对离心叶轮气动性能的影响 [J]. 西安交通大学学报, 2018, 52(11): 51-57.

FU Jue, JIANG Wei, LIU Yiming, et al. Influence of tip clearance geometrical uncertainties on the aerodynamic performance of centrifugal impellers [J]. Journal of Xi'an Jiaotong University, 2018, 52(11): 51-57.

李磊, 李缘, 杨子龙, 等. 基于寿命与可靠性的离心叶轮多学科设计优化 [J]. 哈尔滨工程大学学报, 2020, 41(4): 530-534.

LI Lei, LI Yuan, YANG Zilong, et al. Optimization of life-reliability-based multidisciplinary design of centrifugal impeller [J]. Journal of Harbin Engineering University, 2020, 41(4): 530-534.

ZHU Rui, JU Yaping, ZHANG Chuhua. Effects of geometric and operational uncertainties on aerodynamic performance of centrifugal compressor stage [J]. Proceedings of the Institution of Mechanical Engineers: Part A Journal of Power and Energy, 2022, 236(3): 490-505.

PANIZZA A, RUBINO D T, TAPINASSI L. Efficient uncertainty quantification of centrifugal compressor performance using polynomial chaos [C]//ASME Turbo Expo 2014: Turbine Technical Conference and Exposition. New York, USA: ASME, 2014: V02BT45A001.

BICCHI M, MARCONCINI M, BELLOBUONO E F, et al. Multi-point surrogate-based approach for assessing impacts of geometric variations on centrifugal compressor performance [J]. Energies, 2023, 16(4): 1584.

LIU Yiming, JU Yaping, QIN Ruihong, et al. Collaborative robust design optimization of blade geometry and manufacturing tolerance for a transonic centrifugal impeller [J]. Journal of Turbomachinery, 2023, 145(7): 071001.

JU Yaping, LIU Yiming, JIANG Wei, et al. Aerodynamic analysis and design optimization of a centrifugal compressor impeller considering realistic manufacturing uncertainties [J]. Aerospace Science and Technology, 2021, 115: 106787.

宋嘉涛. 涡轮增压器离心压缩机流固耦合不确定性研究 [D]. 西安: 西安交通大学, 2023.

赵红亮, 邱佳慧, 张敏, 等. 跨音压气机总温畸变下数值模拟研究 [J]. 工程热物理学报, 2024, 45(1): 67-76.

ZHAO Hongliang, QIU Jiahui, ZHANG Min, et al. Numerical simulation for a transonic compressor with total temperature distortion [J]. Journal of Engineering Thermophysics, 2024, 45(1): 67-76.

ZIEGLER K U, GALLUS H E, NIEHUIS R. A study on impeller-diffuser interaction: influence on the performance [J]. Journal of Turbomachinery, 2003, 125(1): 173-182.

ZIEGLER K U, GALLUS H E, NIEHUIS R. A study on impeller-diffuser interaction: detailed flow analysis [J]. Journal of Turbomachinery, 2003, 125(1): 183-192.

杨永强, 马云鹏, 武哲. 基于流固耦合的充气翼内压对翼面变形影响分析 [J]. 北京航空航天大学学报, 2014, 40(2): 188-192.

YANG Yongqiang, MA Yunpeng, WU Zhe. Analysis of effect of interior pressure to deformation of inflatable wing with fluid-structure interaction analysis method [J]. Journal of Beijing University of Aeronautics and Astronautics, 2014, 40(2): 188-192.

LI Lei, WAN Huan, GAO Wenjing, et al. Reliability based multidisciplinary design optimization of cooling turbine blade considering uncertainty data statistics [J]. Structural and Multidisciplinary Optimization, 2019, 59(2): 659-673.

HU Kaibin, JU Yaping, FENG Yi, et al. A dimension reduction-based multidisciplinary design optimization method for high pressure turbine blades [J]. Journal of Engineering for Gas Turbines and Power, 2022, 144(9): 091011.

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

多工况下离心压气机叶轮-机匣一体联合设计优化

气膜孔缺陷对冷却性能影响不确定性量化研究

燃气轮机涡轮排气扩压器气动性能的不确定性量化和敏感性分析

全局叶型扭转角误差对轴流压气机性能影响的不确定性量化分析方法

考虑湍流模型不确定性量化的喷管伴随优化设计