Lulu Hu
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Lulu Hu has a total of 8 co-authors. Here are the top co-authors by number of shared publications:
Yafeng Niu
Xi’an Jiaotong University
2 shared publications- Yingwen Liu
Key Laboratory of Thermo-Fluid Science and Engineering of MOE, School of Energy and Power Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi 710049, PR China
2 shared publications Bo Gao
Technical Institute of Physics and Chemistry, CAS, Beijing, China
1 shared publicationChunwei Qiu
Zhe Jiang AMA&HIEN Technology Co., Ltd
1 shared publicationMing Fang
Tianfu Yongxing Laboratory
1 shared publicationPangang Yuan
School of Mechanical Engineering, Jiangsu University of Technology, Changzhou, Jiangsu, China
1 shared publication
Latest Publications
- 25 March 2025
- Published by Springer Nature
- p. 201-212
Analysis of Thermoacoustic Oscillation Self-coupling Phenomenon in Cryogenic Liquid Transfer Lines
- 25 March 2025
- Published by Springer Nature
- p. 201-212
Analysis of Thermoacoustic Oscillation Self-coupling Phenomenon in Cryogenic Liquid Transfer Lines
- Open Access
- 1 January 2023
- Published by National Library of Serbia in Thermal Science
- Vol. 27 (5 Part A) , 3795-3804
Sensitivity analysis of thermoacoustic oscillation in cryogenics system based on response surface method
In the practical application of cryogenic systems, the presence of thermoacoustic oscillation can cause a series of adverse consequences such as pressure fluctua-tions, thermal leakage, structural damage, and so on. To ensure stable operation of the system, variable cross-section control pipe fittings are introduced, and re-sponse surface analysis method is used to optimize the parameter design of the control pipe fittings. A series of simulations have been conducted and the response surface method is introduced to conduct variance analysis on the simulation re-sults, and obtain the regression model of the system pressure ratio, then analyze the interaction between parameters. The analysis of variance shows that the cor-relation coefficient and adjustment coefficient are both close to 1.0, the signal to noise ratio is high, and the fitting degree of the regression model is good. The prediction error of the regression model for the pressure ratio is within ?10, and the distribution of the residual meets the random normal distribution, which can predict the system performance within the parameter design range. The interaction between pipe diameter and length has no significant impact on the oscillation state, so in design, priority should be given to the impact of location and pipe diameter. This work will provide the basis for determining the optimal control structure size of oscillation-free piping system.
- 1 January 2023
- Published by National Library of Serbia in Thermal Science
- Vol. 27 (5 Part A) , 3795-3804
Open AccessSensitivity analysis of thermoacoustic oscillation in cryogenics system based on response surface method
In the practical application of cryogenic systems, the presence of thermoacoustic oscillation can cause a series of adverse consequences such as pressure fluctua-tions, thermal leakage, structural damage, and so on. To ensure stable operation of the system, variable cross-section control pipe fittings are introduced, and re-sponse surface analysis method is used to optimize the parameter design of the control pipe fittings. A series of simulations have been conducted and the response surface method is introduced to conduct variance analysis on the simulation re-sults, and obtain the regression model of the system pressure ratio, then analyze the interaction between parameters. The analysis of variance shows that the cor-relation coefficient and adjustment coefficient are both close to 1.0, the signal to noise ratio is high, and the fitting degree of the regression model is good. The prediction error of the regression model for the pressure ratio is within ?10, and the distribution of the residual meets the random normal distribution, which can predict the system performance within the parameter design range. The interaction between pipe diameter and length has no significant impact on the oscillation state, so in design, priority should be given to the impact of location and pipe diameter. This work will provide the basis for determining the optimal control structure size of oscillation-free piping system.