Development of High-Fidelity Numerical Methodology Based on Wavenumber-Frequency Transform for Quantifying Internal Aerodynamic Noise in Critical Nozzle
Source abstract
Abstract
In industrial fields dealing with high-temperature and high-pressure gas such as chemical, petrochemical, and offshore oil production plants, piping systems with valves are frequently used to protect the relevant system and equipment from being damaged by such gases. However, excessive noise is sometimes generated by the valve flow in the piping system, causing so-called acoustic induced vibration in the pipe wall. Therefore, it is of great importance to design the related system to avoid this phenomenon. In this study, a high-fidelity numerical procedure is proposed to assess the acoustic power generated by pressure relief devices in a pipe. The method consists of three sequential steps: high accuracy large eddy simulation, wavenumber-frequency transform, and duct acoustic theory. The critical nozzle is selected as a target system since it is commonly used as a flowmeter and thus there are a lot of relevant data for comparison. First, the steady Reynold-Averaged Navier–Stokes (RANS) solver is used to predict the flow rate of the two-dimensional axisymmetric critical nozzles, and its validity is confirmed by comparing the predicted results with the measured ones. There is good agreement between the two results. Then, a high accuracy Large Eddy Simulation (LES) technique is performed on the three-dimensional critical nozzle, and the steady-state RANS result is used as the initial condition to accelerate the convergence of the unsteady simulation. The validity of the unsteady LES results is also confirmed by comparing them with measured surface pressure data. The wavenumber-frequency transform is taken on the LES results, and the compressible surface pressure components matching the acoustical duct modes are identified in the wavenumber-frequency pressure diagram. The inverse wavenumber-frequency transform taken on the compressible pressure components leads to the acoustic power spectrum. These results reveal that the current numerical procedure can be used to more accurately predict the acoustic power generated by pressure relief device in the piping system.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Aerodynamics and Acoustics in Jet Flows · Wind and Air Flow Studies · Flow Measurement and Analysis
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Mechanical Engineering, Pusan National University, Busan 46241, Korea
Division of Physical Metrology, Korea Research Institute of Standards and Science, 267 Gajeong-ro, Yuseong-Gu, Daejeon 34113, Korea
Daewoo Shipbuilding and Marine Engineering, Geoje 53302, Korea
Funding
National Research Foundation of South Korea
References (17)
Show source-provided references
1. Cowling, J. (2016). Acoustic and Turbulence Flow Induced Vibration in Piping Systems: A Real Problem for LNG Facilities, Perth Convention and Exhibition Centre.
2. Carucci, V.A., and Mueller, R.T. (1982). Acoustically Induced Piping Vibration in High Capacity Pressure Reducing Systems, The American Society of Mechanical Engineerings. ASME 82-WA/PVP-8.
3. Designing piping systems against acoustically induced structural fatigue10.1115/1.2842319 ↗
4. Acoustically induced structural fatigue of piping systems10.1115/1.2883727 ↗
5. Veritas, D.N. (2009). L-002 Piping System Layout, Design and Structural Analysis, NORSOK Standard. [3rd ed.].
6. Solving acoustic-induced vibration problems in the design stage
7. Agar, M., and Ancian, L. (2016, January 22–25). Acoustic-induced vibration: A new methodology for improved piping design practice. Proceedings of the Offshore Technology Conference Asia, Kuala Lumpur, Malaysia.10.4043/26784-MS ↗
8. Kim, K., Ku, G., Lee, S., Park, S., and Cheong, C. (2017). Wavenumber-Frequency Analysis of Internal Aerodynamic Noise in Constriction-Expansion Pipe. Appl. Sci., 7.10.3390/app7111137 ↗
9. American National Standards Institute (1987). Measurement of Gas Flow by Means of Critical Flow Venturi Nozzles, American National Standards Institute. Dansk standard DS/EN ISO 9300.
10. Filter-based unsteady RANS computations10.1016/j.ijheatfluidflow.2003.10.005 ↗
11. Myong, H.K. (2002). Chapter 6: Turbulence and Turbulence model. Computational Thermo-Fluid Dynamics, Munundang.
12. Hoffmann, K.A., and Chiang, S.T. (1993). Computational Fluid Dynamics Volume III, Engineering Education System. [4th ed.].
13. Decomposition of surface pressure fluctuations on vehicle side window into incompressible/compressible ones using wavenumber-frequency analysis10.5050/KSNVE.2016.26.7.765 ↗
14. Munjal, M.L. (2014). Chapter 1: Propagation of waves in ducts. Acoustic of Ducts and Mufflers, John Wiley & Sons. [2nd ed.].
15. Effect of ultrasonic noise generated by pressure control valves on ultrasonic gas flowmeters10.1016/j.flowmeasinst.2018.02.023 ↗
16. The evaluation of critical pressure ratios of sonic nozzles at low Reynolds numbers10.1016/S0955-5986(00)00040-6 ↗
17. How does a high density ratio affect the near- and intermediate-field of high-Re hydrogen jets?10.1016/j.ijhydene.2016.06.174 ↗