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首页> 外文期刊>International journal of air-conditioning and refrigeration >Comparison of a Thermoacoustic Refrigerator Stack Performance: Mylar Spiral, Celcor Substrates and 3D Printed Stacks
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Comparison of a Thermoacoustic Refrigerator Stack Performance: Mylar Spiral, Celcor Substrates and 3D Printed Stacks

机译：热声冰箱烟囱性能的比较：聚酯薄膜螺旋，Celcor基材和3D打印烟囱

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摘要

Although the thermoacoustic refrigeration (TAR) system has been recognized as a potential alternative environmentally cooling system, the low coefficient of performance (COP) has yet to make it marketable. One major factor contributing towards the low COP is the fabrication method applied to the stack component which is the most important component in the TAR. In this paper, comparison of the performance of a (ⅰ) 3D printed stack, (ⅱ) a hand fabricated Mylar stack and (ⅲ) an off-the-shelf Celcor substrates stack has been done; these being based on optimized design parameters using Multi-Objective Genetic Algorithm (MOGA). The performance is determined from the temperature attained at the cold end of the stack and the temperature difference across the stack. Experimental results showed that the 3D printed stack has the best performance by achieving a temperature, T_c = 18.9℃ at the cold end and a temperature difference of ΔT = 18.1 ℃ across the stack, about 60% of the designed temperature difference even though the fabricated 3D printed stack deviated from the optimal design due to fabrication constraint as compared to that of the Mylar stack which was closer to the optimal design. This 3D printing of the stack promises a big potential in the improvement of the TAR performance because of the consistency achievable with the precise dimensions of the stack.
机译：尽管热声制冷（TAR）系统已被公认为是潜在的替代性环境冷却系统，但低性能系数（COP）尚未使其可销售。导致低COP的一个主要因素是应用于堆叠组件的制造方法，该组件是TAR中最重要的组件。在本文中，已经完成了（ⅰ）3D打印堆栈，（ⅱ）手工制作的Mylar堆栈和（ⅲ）现成的Celcor基板堆栈的性能比较；这些基于使用多目标遗传算法（MOGA）的优化设计参数。性能由烟囱冷端达​​到的温度和烟囱两端的温差确定。实验结果表明，通过实现3D打印堆栈的最佳性能，冷端温度达到T_c = 18.9℃，整个堆栈的温度差为ΔT= 18.1℃，即使制造出来的温度也达到设计温差的60％ 3D打印堆栈由于制造方面的限制而偏离了最佳设计，而与Mylar堆栈相比，它更接近最佳设计。堆栈的这种3D打印技术有望在提高TAR性能方面具有巨大潜力，因为堆栈的精确尺寸可以实现一致性。

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