Study on Surrogate Models for Fin-integrated PCM Device Design

Abstract

Fin-integrated phase change material (PCM) devices embedded in satellite panels are being investigated as devices for passively controlling the heat of high-heat-generating equipment. In this study, we aim to streamline the design process for structurally integrated PCM devices and report on the development of surrogate models for thermal-fluid coupled analysis using physics-informed neural networks (PINNs) and sparse identification of non-linear dynamics (SINDy), as well as their practical applicability.