Research PapersNo Access

Dynamic modeling and sensitivity analysis of a tubular pump unit during starting process

State Key Laboratory of Eco-Hydraulics in Northwest Arid Region of China, Xi’an University of Technology, Xi’an 710048, China

Shaanxi Province Institute of Water Resources and Electric Power, Investigation and Design, Xi’an 710001, China

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and

Dan Bai

https://orcid.org/0000-0003-1245-2592

State Key Laboratory of Eco-Hydraulics in Northwest Arid Region of China, Xi’an University of Technology, Xi’an 710048, China

E-mail Address: baidan@xaut.edu.cn

Corresponding author.

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https://doi.org/10.1142/S0217984921501232Cited by:2 (Source: Crossref)

Abstract

Dynamic characteristics and sensitivity analysis of a tubular pump unit during starting process are proposed in this paper. A dynamic model of the pump unit, suitable for describing its transient characteristics during starting process, is established by using rigid body dynamics, fluid dynamics and hydraulic theory. The extended Fourier amplitude sensitivity test (EFAST) analysis method is used to investigate the influence of unit parameters on system outputs. Simulation of the pump unit is carried out for the starting process to verify the sensitivity analysis and explore the dynamic characteristics of the pump unit. The dynamic responses of the system parameter (rotating speed, flow and head) are revealed by the start-up simulation. Research results provide theoretical guidance for the rational design and safe operation of tubular pump stations.

Keywords:

References

1. K. Kan, Y. Zheng, H. X. Chen et al., Renew. Energy 154 (2020) 1153. Web of Science, Google Scholar
2. A. Shafieian and M. Khiadani, Energy Convers. Manage. 199 (2019) 112055. Web of Science, Google Scholar
3. Y. N. Zhang, K. H. Liu, H. Z. Xian et al., Renew. Sustain. Energy Rev. 81 (2018) 1269. Web of Science, Google Scholar
4. W. L. Zhao, J. Zhang, X. D. Yu et al., Proc. Inst. Mech. Eng. C, J. Mech. Eng. Sci. (2020). https://doi.org/10.1177/0954406220947116 Google Scholar
5. H. Zhang, D. Y. Chen, B. B. Xu et al., Mech. Syst. Signal Process. 100 (2018) 524. Web of Science, ADS, Google Scholar
6. K. Li and Y. Han, Trans. Inst. Meas. Control 40 (2018) 903. Web of Science, Google Scholar
7. H. G. Zhu and R. T. Zhang, Adv. Mech. Eng. (2014) 171504. https://doi.org/10.1155/2014/171504 Web of Science, Google Scholar
8. Y. Jin, X. K. He, Y. Zhang et al., Processes 7 (2019) 949. Web of Science, Google Scholar
9. W. Zeng, A. C. Zecchin, J. Z. Gong et al., J. Hydraul. Eng.-ASCE 146 (2020) 04020056. Web of Science, Google Scholar
10. K. Kan, Y. Zheng, S. F. Fu et al., J. Mech. Sci. Technol. 31 (2017) 1561. Web of Science, Google Scholar
11. P. C. Guo, H. Zhang and L. G. Sun, Mod. Phys. Lett. B 34 (2020) 2050125. Link, Web of Science, ADS, Google Scholar
12. W. Han, Y. Liu, C. Y. Gong et al., Mod. Phys. Lett. B 34 (2020) 2050094. Link, Web of Science, ADS, Google Scholar
13. H. Zhang, P. C. Guo and L. G. Sun, Renew. Energy 152 (2020) 34. Web of Science, Google Scholar
14. Y. Q. Zhang, Y. H. Xu, Y. Zheng et al., Math. Probl. Eng. 2019 (2019) 8262074. Google Scholar
15. Q. Q. Li, Z. L. Xu, M. C. Cheng et al., Mod. Phys. Lett. B 34 (2020) 2050158. Link, Web of Science, ADS, Google Scholar
16. H. Zhang, D. Y. Chen, C. Z. Wu et al., Commun. Nonlinear Sci. Numer. Simul. 54 (2018) 136. Web of Science, ADS, Google Scholar
17. J. Qian, Y. Zeng, Y. K. Guo et al., Nonlinear Dyn. 86 (2016) 963. Web of Science, Google Scholar
18. W. C. Guo, J. D. Yang, J. P. Chen et al., Nonlinear Dyn. 84 (2016) 1383. Web of Science, Google Scholar
19. H. H. Kim, M. Rakibuzzaman, M. Kim et al., Energies 12 (2019) 264. Web of Science, Google Scholar
20. F. Yang and C. Liu, Math. Probl. Eng. 2014 (2014) 820135. Google Scholar
21. N. Casimir, X. Y. Zhu, M. Hundshagen et al., J. Fluids Eng.-Trans. ASME 142 (2020). https://doi.org/10.1115/1.4046622 Web of Science, Google Scholar
22. E. Patelli, H. J. Pradlwarter and G. I. Schueller, Comput. Phys. Commun. 181 (2010) 2072. Web of Science, ADS, Google Scholar
23. J. Wang, X. Li, L. Lu et al., Environ. Model. Softw. 48 (2013) 171. Web of Science, Google Scholar
24. B. Gao, Q. Yang, Z. J. Peng et al., Aerosp. Sci. Technol. 100 (2020) 105830. Web of Science, Google Scholar