Optimization of standing-wave thermoacoustic refrigerator stack using genetic algorithm

Peng, Yehui; Feng, Heying; Mao, Xiaoan

doi:10.1016/j.ijrefrig.2018.04.023

Cited by 13 publications

(2 citation statements)

References 34 publications

(74 reference statements)

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“…Most of those regenerator optimizations [7][8][9][10][11][12] analyzed parameters of the working field, working gas and the hydraulic radius, whereas the quantitative investigation of important pa-rameters, for example, the length of the regenerator, on the behavior of thermoacoustic devices was still lacking. In the previous design, [13][14][15][16][17][18][19][20][21][22][23][24][25] the selection of the regenerator length was dependent on the experience, which caused the design with some blindness and results without prescient considerations, as well as the limited performance rather than the optimal.…”

Section: Introductionmentioning

confidence: 99%

Synthetical optimization of the structure dimension for the thermoacoustic regenerator

Kang¹,

Zhang²,

Shen³

et al. 2022

Chinese Phys. B

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The quantitative investigation of parameters in the renegerator is essential for the optimization of thermoacoustic devices, while the majority of the previous research only considered parameters of the working field, working gas and the hydraulic radius. Based on the linear thermoacoustic theory, this paper extracts a normalized parameter for low-amplitude conditions, which is called the regenerator operation factor. By extracting the regenerator operation factor and relative hydraulic radius, the influence of frequency on the efficiency can be controlled and offset. It can be found that thermoacoustic devices with different frequencies can perform the same efficiency by adjusting the radius in proportion to the axial length. Finally, this paper synthetically optimizes the dimension of the thermoacoustic regenerator by taking the regenerator operation factor, relative hydraulic radius and acoustic field parameter as variables. Conclusions in this paper are of great significance for explaining the best working conditions of engines and directing the miniaturization and optimal design of thermoacoustic devices.

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Section: Introductionmentioning

confidence: 99%

Synthetical optimization of the structure dimension for the thermoacoustic regenerator

Kang¹,

Zhang²,

Shen³

et al. 2022

Chinese Phys. B

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“…To optimize the axisymmetric resonator shape by maximizing the pressure compression ratio, Cervenka et al [9] solved the one-dimensional linear wave equation, considering the boundary-layer dissipation numerically; the optimal resonator shapes were obtained in case of a piston, shaker, or loudspeaker driving. Feng et al [10,11] presented an approximate formula to calculate the natural frequency, pressure, pressure ratio, and amplification ratio of the pressure amplitude for some axisymmetric resonators and suggested the optimal shape parameters for these resonators.…”

Section: Introductionmentioning

confidence: 99%

Evolution of Flow and Streaming in Exponential Variable Cross-Section Resonators

et al. 2020

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A gas-kinetic scheme (GKS) based on an unstructured grid is applied to simulate the evolution of the fluid motions in exponential variable cross-section resonators. The effects of the acoustic field intensity on the oscillatory pressure, velocity, temperature, and flow streaming structure were investigated numerically, and the model was validated. The results demonstrate that the geometry and driving strength are the main factors affecting the final performance of the system. For the quasi-linear and moderate non-linear cases in optimum exponential tube, the periodic generation, evolution, and shedding of vortices in flow fields are associated with the storage and release of energy, which is the transmission mode of the third type of direct current (DC) flow, and its driving mechanism is attributed to the asymmetrical pressure and temperature. Meanwhile, some new physical characteristics were also discovered for the highly non-linear case, e.g., the disorder and unsteadiness of the flow direction accomplished with turbulent flow streaming structures. The secondary flow is manifested as multiscale, irregular and unsteady vortices throughout the tube. The smallest increment of pressure and velocity amplitude occurs concurrently with the biggest increment of temperature amplitude. These evidences suggest that there is an optimal driving strength, even for a good configuration tube, with which the maximum efficiency can be obtained.

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Design of a traveling wave thermo‐acoustic engine based on genetic algorithm

Zare

Tavakolpour-Saleh

2019

Int J Energy Res

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Summary This paper presents a novel design scheme for traveling wave thermo‐acoustic Stirling engines (TASEs) based on a target frequency using genetic algorithm (GA). First, the effects of engine design parameters on the system performance are studied via root locus method. Accordingly, it is found that the resonator length, the inertance diameter, and the hot gas temperature are the most effective parameters in the engine design procedure. Next, the relation between the closed‐loop poles positions of the thermo‐acoustic system and the effective design variables are described parametrically. Consequently, in order to estimate the optimum values of the effective design parameters as well as the unknown positions of the nondominant poles, an appropriate fitness function based on the desired engine frequency is proposed. Subsequently, a GA is used to achieve the optimal values of design parameters so as to minimize the considered cost function. Finally, the validity of the proposed design technique is verified by comparing the obtained results with the available data of an experimental case study.

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Optimization of standing-wave thermoacoustic refrigerator stack using genetic algorithm

Cited by 13 publications

References 34 publications

Synthetical optimization of the structure dimension for the thermoacoustic regenerator

Synthetical optimization of the structure dimension for the thermoacoustic regenerator

Evolution of Flow and Streaming in Exponential Variable Cross-Section Resonators

Design of a traveling wave thermo‐acoustic engine based on genetic algorithm

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