Design of numerical model for thermoacoustic devices using OpenFOAM

Tisovský, Tomáš; Vít, Tomáš

doi:10.1063/1.5004377

Cited by 4 publications

(2 citation statements)

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“…A simpler impedance boundary condition was directly derived from linear theory in [131] and implemented in COMSOL Multiphysics to replace the effect of a liquid column in a U-shaped tube (aimed at enhancing the thermoacoustic instability). Similarly, for a thermoacoustic refrigerator, a boundary condition, involving the electromechanical coupling in the thermoacoustic refrigerator, was adopted by Tisovsky et al [132] to allow the mesh to move with a prescribed velocity profile.…”

Section: Microscopic Modelsmentioning

confidence: 99%

CFD Modeling of Thermoacoustic Energy Conversion: A Review

Meglio

Massarotti

2022

Energies

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In this article, a comprehensive review of the computational fluid dynamics (CFD)-based modeling approach for thermoacoustic energy conversion devices is proposed. Although thermoacoustic phenomena were discovered two centuries ago, only in recent decades have such thermoacoustic devices been spreading for energy conversion. The limited understanding of thermoacoustic nonlinearities is one of the reasons limiting their diffusion. CFD is a powerful tool that allows taking into consideration all the nonlinear phenomena neglected by linear theory, on which standard designs are based, to develop energy devices that are increasingly efficient. Starting from a description of all possible numerical models to highlight the difference from a full CFD method, the nonlinearities (dynamic, fluid dynamic and acoustic) are discussed from a physical and modeling point of view. The articles found in the literature were analyzed according to their setup, with either a single thermoacoustic core (TAC) or a full device. With regard to the full devices, a further distinction was made between those models solved at the microscopic scale and those involving a macroscopic porous media approach to model the thermoacoustic core. This review shows that there is no nonlinear porous media model that can be applied to the stack, regenerator and heat exchangers of all thermoacoustic devices in oscillating flows for each frequency, and that the eventual choice of turbulence model requires further studies.

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Section: Microscopic Modelsmentioning

confidence: 99%

CFD Modeling of Thermoacoustic Energy Conversion: A Review

Meglio

Massarotti

2022

Energies

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“…This methodology enables the accurate representation of sound wave behaviour in the TAR system. Tisovsky and Vit [3] numerically modelled a TAR in a global domain, where the loudspeaker was represented as moving membrane. On the other hand, in the local analysis, the soundwave is replaced by imposing oscillatory boundary at both ends of the domain.…”

Section: Introductionmentioning

confidence: 99%

Experimental Validation of Global & Local CFD Analysis of Thermoacoustic Refrigerator

Al-Mufti,

Janajreh

2023

International Conference on Fluid Flow and Thermal Science

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In this research, a validated Computational Fluid Dynamics (CFD) analysis of thermoacoustic refrigerator (TAR) is conducted. It is done by firstly simulating the TAR in a global domain (full length resonator and stack) in order to define the flow behaviour near the stack, which is then used to formulate the boundary conditions of the local domain (single plate of the stack). Specifically, the global analysis is performed in order to provide the needed adjacent conditions and to construct higher resolution localized computational domain, thus facilitating parametrical analysis that will then proceed more accurately and swiftly. The experimental setup was developed to validate the broad TAR modelling that considered different stack positions. The experimental results show that optimum frequency decreases when the stack is moved further from the closed end (pressure antinode). The highest temperature difference of 11℃ is achieved at normalized stack position of 𝑥 𝑛 = 0.33 and operating frequency of 121 Hz. The experimentally measured speed near the stack differed from the theoretically predicted value by 7 %. The proposed method demonstrated a remarkable level of accuracy in the local analysis, where it predicted the performance of the TAR for all stack positions with maximum error of approximately 2 %.

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