Fin-integrated phase change material (PCM) devices embedded in panel structures are being explored as passive thermal control systems for managing heat generated by high-power equipment in artificial satellites. In this study, we aim to streamline the design process of fin-integrated PCM devices by developing a surrogate model for coupled thermofluid analysis using Sparse Identification of Nonlinear Dynamics (SINDy). The proposed model demonstrates the ability to predict temperature variations with approximately 2K error in a generic 2D fin-integrated PCM device.
Asada et al. (Wed,) studied this question.