Abstract
Fan forward acoustic tester is immersed in the anechoic room. Under many working conditions, the Mach number in the intake flow tube is low, which affects the accuracy of flow measurement. Therefore, it is necessary to study its accuracy of flow measurement. Taking the intake flow tube of a fan forward acoustic tester as the research object, the variations of flow coefficient and flow measurement error with Mach number ranging from 0.09 to 0.51 are quantitatively analyzed by the numerical method, and their affecting factors are revealed, aiming to support the accuracy of flow measurement. The numerical model adopting SST turbulence model is reliable after the test data verification. The flow coefficient increases with Mach number, and it ranges from 0.985 to 0.989. The flow coefficient is mainly affected by the boundary layer and the static pressure distribution, both of which tend to decrease with the increase of Mach number. The main factor is boundary layer, which accounts for about 71%~78%. If the uneven static pressure distribution is ignored, a maximum flow measurement error of about 0.4% will be brought.
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References
Gui, X., Teng, J., Liu, B., et al.: Compressor Aerothermodynamics and its Applications in Aircraft Engines. Shanghai Jiaotong University Press, Shanghai (2014)
Test method for compressor aerodynamic performance of aircraft gas turbine engine. State Administration of Science\Technology and Industry for National Defence, Beijing (2020)
Xiang, H., Hou, M., Ge, N., et al.: Aerodynamic design and application validation of flow tube used in compressor experiment. Gas Turbine Technol. 28(4), 28–34 (2015)
Zhang, Z., Wu, F., Ma, H., et al.: Numerical and experimental study on the air flow coefficient determination for small aeroengine in ATF. Measur. Control Technol. 33(8), 23–26 (2014)
Beale, D.K., Hand, T.L., Sebourn, C.L.: Development of a bellmouth airflow measurement technique for turbine engine ground test facilities. In: Proceedings of the 37th AIAA/ASME/SAE/ASEE Joint Propulsion Conference and Exhibit, pp. 1–20. AIAA, Salt Lake City (2013)
Wang, H., Ma, M.: Study on the factors affecting airflow calculation of an aero-engine. Gas Turbine Exp. Res. 23(3), 22–26 (2010)
Shi, J., Shen, S., Gao, Y., et al.: Research on the aero-engine airflow measurement and calculation method. Eng. Test 51(4), 15–18, 41 (2011)
Li, B., Hao, X., Shen, S.: Measuring methods of aero-engine inlet airflow. Gas Turbine Exp. Res. 26(4), 54–57 (2013)
Zhuang, H., Guo, X., Ma, Q., et al.: Numerical and experimental study of the air flow determination of a core engine with bypass duct. Gas Turbine Exp. Res. 21(2), 11–14, 52 (2008)
Xiao, M., Zhuang, H., Guo, X.: Numerical and experimental study of air flow field of a core engine with bypass duct. J. Aerosp. Power 24(4), 836–842 (2009)
Li, Y., Wang, Y., Wang, H.: A scaling model test facility for turbo engine airflow calibration. Metrol. Meas. Technol. 37(4), 27–30 (2017)
Zhong, H.: An evaluation method on calibration and measurement uncertainty of an airflow rate measuring tube. Gas Turbine Exp. Res. 24(2), 1–4 (2011)
Liu, R.: Design of air flow tube calibrated device on LabVIEW. Tech. Autom. Appl. 36(1), 88–90 (2017)
Ding, Z.: Fluid Dynamics, 2nd edn. Higher Education Press, Beijing (2013)
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Zhu, Lp., Jia, Bb., Zhang, Zb. (2022). A Study on Accuracy of Flow Measurement of Intake Flow Tube Used in Fan Forward Acoustic Tester. In: Fan, W., Zhang, L., Li, N., Song, X. (eds) Methods and Applications for Modeling and Simulation of Complex Systems. AsiaSim 2022. Communications in Computer and Information Science, vol 1713. Springer, Singapore. https://doi.org/10.1007/978-981-19-9195-0_38
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DOI: https://doi.org/10.1007/978-981-19-9195-0_38
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