Modelling and Analysis of a Standing-Wave Thermo-Acoustic Refrigerator Using ANFIS

Researchers are actively working on developing technologies to address the crucial challenge of reducing the environmental impact of air conditioning and refrigeration systems, aiming to provide cooling solutions without harming the ozone layer and minimizing their contribution to global warming. To this end, a standing-wave thermo-acoustic system has been constructed and thoroughly investigated through experiments. In this study, a dataset comprising 148 data points was utilized to construct an ANFIS model. The evaluation of performance indicators demonstrates the potential utility of the ANFIS model for predicting configurations that were not directly measured during the experimental phase. Comparing the experimental data with ANFIS predictions reveals a close alignment, with the highest discrepancies amounting to a mere 0.86545%. Impressively, the results of this research study highlight the robustness of the ANFIS model, as it achieves a remarkable regression value (R2) of 0.9976, accompanied by a minimal mean square error of 1.1034e-4.