Simulation, Optimization and Multi analysis of PCM-based Skeletal Heat exchanger: A Parametric Investigation of Skeletal Fin Geometry and Internal Thickness - PCM on Exergy efficiency, Exergy storage, Overall performance, Entropy, and Energy

This study investigates dependent factors such as the thickness and depth of PCM's internal skeleton fins, the addition of skeletal fins, the input heat flux, and the effect of design factors on the effectiveness of a skeletal heat exchanger. The authors give insights into the link between design factors and thermal performance, allowing for a thorough study of the data. However, by carefully considering the material qualities, geometry, and design parameters of the fin heat exchanger with integrated phase change materials PEG 6000. This study uses regression, ANOVA, multivariate analysis, the contribution of p-values, the interaction, and the Taguchi method to optimize the thermal entropy, the specific heat capacity, the melting temperature, the hybrid liquid fraction, the melting time, the exergy efficiency, the exergy storage, and the overall performance of the heat exchanger in cooling electronic components effectively and in a variety of cooling applications. The adding skeletal fin is the most significant, with p-values equal to 0%, and respectively the percentage of contribution of achieved 74% for the heat specific capacity, 68% for the skewness of specific heat capacity, 80% t for the kurtosis of the specific heat capacity, 50.5% the melting temperature, 38% the skewness of the melting temperature, 96% for the hybrid liquid fraction, 33% the melting time, 73% the thermal entropy and the exergy efficiency, 73.5% for the overall system performance, 39% and 34% respectively the skewness of thermal entropy and the exergy storage, and 53% for the kurtosis of the thermal entropy. The analyses show a reduction of the errors between simplified and detailed ANOVA: 14% the specific heat capacity, 35% for the melting temperature, 1% for the liquid fraction, 30% for the melting time, 23% for the thermal entropy, 8% for the exergy efficiency, 26% for the exergy storage, and 20% for the overall system performance. Finally, a parametric simulation is carried out to investigate the percentage of contribution and impact of significant performance parameters on the skeletal heat exchanger characteristics of the respective skeletal heat exchanger type.