Machine Learning Methodologies Applied to Magnetocaloric Perovskites Discovery.

Traditionally, designing novel materials involves exploring new compositions guided by insights from previous work, relying on a trial-and-error approach, where continuous synthesis and characterization proceed until the properties meet the improvements. This method is inefficient due to the challenges of exploring vast chemical spaces. In this study, a machine-learning-based methodology is developed to assist the design from available data in the literature, allowing us to test in silico more than 1.

Temperature pull-down of a retrofitted wine refrigerator cabinet cooled by a caloric system emulator.

The present study analyzes the time-dependent thermal behavior of a retrofitted wine refrigerator cabinet operated by a caloric system emulator. The presence of a full load of wine bottles enabled the assessment of the thermal stratification inside the cabinet. Further experimental tests have been performed to quantify the overall thermal conductance of the cabinet walls and the thermal conductance of the glass door.

Influence of Heat Exchanger Design on the Thermal Performance of a Domestic Wine Cooler Driven by a Magnetic Refrigeration System.

Conventional and not-in-kind refrigerators require heat exchangers for their operation. Yet, most magnetic cooling studies do not take full account of those components despite their importance in defining the cooling capacity and temperature span. To investigate the influence of heat exchanger design parameters on the performance of magnetic refrigerators, a model was developed to integrate the heat exchangers, regenerators and thermal reservoirs.

Entropy Generation Minimization Analysis of Active Magnetic Regenerators.

A performance assessment of active magnetocaloric regenerators using entropy generation minimization is presented. The model consists of the Brinkman-Forchheimer equation to describe the fluid flow and coupled energy equations for the fluid and solid phases. Entropy generation contributions due to axial heat conduction, fluid friction and interstitial heat transfer are considered.