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Journal ArticleDOI

Experimental study of the temperature variations in a standing wave loudspeaker driven thermoacoustic refrigerator

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TLDR
In this paper, the effect of the stack geometric parameters on the temperature difference across the stack in a standing wave loudspeaker driven thermoacoustic refrigerator was investigated, and the authors provided guidelines for increasing the performance of thermo-acoustic refrigerators, which still lack competitiveness because of their relatively low performance.
Abstract
The temperature difference across the stack is essential to the performance of thermoacoustic refrigerators. This paper experimentally investigates the effect of the stack geometric parameters on the temperature difference across the stack in a standing wave loudspeaker driven thermoacoustic refrigerator. In addition, it investigates the temperature variations through the resonator and its cross-sections. The effect of this variability on the performance of the refrigerator is also presented. Celcor Ceramic stacks are used at five normalised stack positions of 0.286, 0.764, 1.05, 1.43 and 1.72, four normalised stack lengths of 0.076, 0.114, 0.153 and 0.191, and two stack porosities of 0.8 and 0.85. Results show that the maximum and minimum temperatures through the resonator are across the stack, particularly at the centre point of each side of the stack. Moreover, at certain stack positions, hot and cold sides across the stack are altered. The coefficient of performance also increases at high-temperature difference positions. As a result, this study provides guidelines for increasing the performance of thermoacoustic refrigerators, which still lack competitiveness because of their relatively low performance. It also helps design some parts such as heat exchangers to consider the maximum and minimum temperature positions of thermoacoustic refrigerators.

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Citations
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Journal ArticleDOI

An artificial neural network model for predicting the performance of thermoacoustic refrigerators

TL;DR: The results showed that the proposed model can predict the TAR cooling temperature and performance with high accuracy and the use of ANNs could enhance the predictability of TAR performance using different operating conditions and geometric parameters.
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A novel acoustic scene classification model using the late fusion of convolutional neural networks and different ensemble classifiers

TL;DR: An enhanced CNN classification model using the late fusion between CNNs and ensemble classifiers to predict different classes of acoustic scenes has robust applicability for future ASC problems.
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Experimental study of the stack geometric parameters effect on the resonance frequency of a standing wave thermoacoustic refrigerator

TL;DR: The resonance frequency is important for the performance of thermo-acoustic refrigerators, as it... as mentioned in this paper, as it is the resonance frequency that is selected by the system.
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Thermoacoustic Energy Conversion Devices: Novel Insights

TL;DR: Important considerations of the design and state-of-the-art developments in thermoacoustic energy conversion devices are summarized and the use of neural networks and metadata as optimisation methods are presented.
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Thermoacoustic Refrigerators and Heat Pumps: New Insights for A High Performance

TL;DR: In this article, the effects of the operating conditions and geometric parameters on the temperature difference across the stack and the coefficient of performance of a thermo-acoustic heat pump at different cooling loads were also demonstrated.
References
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Proceedings Article

Thermoacoustic engines

TL;DR: In this paper, an approximate analysis of energy flow and acoustical measurements of a thermoacoustic prime mover with arbitrary cross-sectional geometry is given. But this analysis is restricted to the case of TAEs with circular or parallel slit pore geometry.
Journal ArticleDOI

Review of alternative cooling technologies

TL;DR: In this article, the authors provide an update on alternative cooling technologies in the context of a report by Fischer et al. which contains an extensive assessment of “not-in-kind” technologies including their state-of-the-art, development issues, and potentials to replace vapor compression equipment.
Journal ArticleDOI

A review of emerging technologies for food refrigeration applications

TL;DR: In this paper, the authors provide a brief review of both current state of the art technologies and emerging refrigeration technologies that have the potential to reduce the environmental impacts of refrigeration in the food industry.
Journal ArticleDOI

Design optimization of thermoacoustic refrigerators

TL;DR: The simplified linear model of thermoacoustics - the short stack boundary layer approximation - is implemented into a systematic design and optimization algorithm and serves as an easy-to-follow guideline for the design of therMOacoustic refrigerators.
Journal Article

Review of alternative cooling technologies

TL;DR: In this article, the authors provide an update on alternative cooling technologies in the context of a report by Fischer et al. which contains an extensive assessment of “not-in-kind” technologies including their state-of-the-art, development issues, and potentials to replace vapor compression equipment.
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