Time acceleration methodology for rapid simulation of frost formation with experimental validation

• Published in: International journal of heat and mass transfer 2024-02, Vol.219, p.124861, Article 124861
• Main Authors: Kim, Dong Woo, Kwon, Tae Woo, Hwang, Hyun Beom, Park, Yong Gap, Min, June Kee, Balachandar, S., Ha, Man Yeong
• Format: Article
• Language: English
• Subjects: CFD; Euler multiphase flow model; Experimental validation; Frost formation; Slow-time acceleration methodology
• ISSN: 0017-9310; 1879-2189
• DOI: 10.1016/j.ijheatmasstransfer.2023.124861

•A frost growth prediction model was developed using the slow-time acceleration technique to effectively reduce the computational time.•The developed model was compared to the experimental results and exhibited good agreement.•The frost growth prediction model offers computational cost reduction benefits for optimizing cooling system designs. In this study, a numerical methodology based on the multiphase flow model was developed for predicting frost growth on a cooled surface. The proposed numerical methodology was validated by comparing the results of numerical simulations with measured data obtained from the present experiment. The slow-time acceleration technique was applied to reduce the computational time required for the simulation. The results demonstrated that the developed methodology accurately predicts the distribution of the ice phase volume fraction, the humid air streamline, temperature, and velocity magnitude. Furthermore, the slow-time acceleration technique significantly reduces the computational time required without sacrificing accuracy. Therefore, the developed methodology can be used to predict frost growth with good accuracy and reduced computational time, which has practical implications for various applications.