Application of the double decentralized fuzzy inference method to heat flux distribution identification in single-bubble boiling

Abstract

Accurately determining the spatiotemporal distribution of boiling heat flux in a single-bubble pool is crucial for understanding the pool’s heat transfer mechanism. However, direct measurement is challenging. Utilizing an inverse heat transfer approach, where part of the temperature measurement information of the boiling wall is employed, offers an effective solution to this issue. This study explores the application of the double decentralized fuzzy inference (DDFI) method to identify the distribution of single-bubble boiling heat flux in three-dimensional heat conduction systems. Through simulation experiments, we estimate the boiling heat flux distribution of single-bubble boiling and validate the DDFI method’s effectiveness through comparative analysis. Furthermore, the measured temperature data of the single-bubble boiling process is utilized to identify the heat flux distribution on the boiling surface using the DDFI method. We reconstruct the transient temperature field of the heating wall using inversion results, and verify the reliability of the reconstruction results.