International Journal of Applied Mechanics and Engineering (Mar 2025)

Analytical Investigation of TAR for Enhancing Performance Using Varied Stack configuration and Varied Working Fluid

  • Kamlesh S. Shelke,
  • Uday S. Wankhede,
  • Anand Kumar Yadav,
  • Pawel Jurczak

DOI
https://doi.org/10.59441/ijame/197489
Journal volume & issue
Vol. 30, no. 1
pp. 127 – 142

Abstract

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Thermoacoustic cooling, which uses sound waves to transfer heat, is an environmentally friendly and simple alternative to conventional refrigeration. Gas mixture adjustment to improve cooling performance is understudied compared to pure gas use. Previous studies focused on pure gas systems, but helium-argon combinations can boost thermoacoustic efficiency. Studying these gas mixtures' synergy could improve cooling efficiency. This study examined different working fluid i.e. pure gas and blend of helium-argon gas to a Thermoacoustic Refrigerator (TAR) to improve performance. A helium-argon gas mixture's thermoacoustic COP and temperature differential were measured experimentally. The resonator stacks were made of spiral, parallel, and honeycomb with polynamide nylon 6 material. The study focuses on cooling load, frequency, and operating pressure. Our findings suggest that adding helium-argon gas to TARs may improve their performance, broadening refrigeration and cooling applications. Energy was saved by lowering the thermoacoustic activity start temperature using this mixture. The right mix of these gases can outperform pure gas systems, enabling sustained cooling, according to experiments. Researchers employ Mylar, Photographic films, and other stack materials to cool TAR, but 3D printing can create intricate stack structures with polynamide nylon 6. This study highlighted the use of single gas and blend of helium-argon gas mixture to explore polynamide nylon 6 stack materials with varied geometries. The system can be tested with other stack material and different gases at an optimum frequency of 500Hz, the cooling performance was observed. The experimental data simulated with the DELTAEC software

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