New correlations for the prediction of incipient nucleate boiling in a one-side heated swirl tube. (5th June 2022)

• Record Type: Journal Article
• Authors: Lim, Ji Hwan; Park, Minkyu; Shin, Seong Min; Chung, Seong Seock
• Is Part Of: Applied thermal engineering. Volume 209(2022)
• Publication Date: 2022-06-05
• Subjects: Sub-cooled flow boiling -- Onset of nucleate boiling -- Swirl tube -- Fusion cooling system -- One-side heating; AE Average error -- CHF Critical heat flux -- FDB Fully developed nucleate boiling -- HIP Hot isostatic pressing -- HTC Heat-transfer coefficient -- ITER International Thermonuclear Experimental Reactor -- MAD Mean absolute deviation -- MAE Mean absolute error -- ONB Onset of nucleate boiling -- RANSAC RANdom SAmple Consensus -- RMSE Root mean square error -- SP Single-phase -- TP Two-phase -- TR Twist ratio; Heat engineering -- Periodicals; Heating -- Equipment and supplies -- Periodicals; Periodicals; 621.40205
• DOI: 10.1016/j.applthermaleng.2022.118300
• Languages: English
• ISSNs: 1359-4311

Abstract

Highlights: In this paper, the onset of nucleate boiling (ONB) of a swirl tube is studied. It was found that ONB heat flux increased as sub-cooling and mass flow rate increased. As the pressure increases, the ONB heat flux decreases due to a decrease in latent heat. Existing ONB correlations show a high error rate in predicting ONB heat flux of swirl tube. New ONB correlations are developed through Python code and dimensional analysis. Abstract: Future tokamak cooling systems should always be maintained in a single phase during operation to avoid potential hazards caused by vapor. To this end, a correlation to accurately predict sub-cooled flow boiling onset of nucleate boiling (ONB) under the one-side high heat load condition, which is the heat flux condition inside the tokamak, is required. According to this necessity, the ONB of a one-side heated swirl tube was experimentally explored in this study. The inserted swirl tape induces a secondary swirling flow, which causes ONB to occur at a higher heat flux condition than the smooth tube. As the twist ratio of the tape decreased, the ONB heat flux enhancement rate increased. Sub-cooling and mass flow rate have a proportional relationship with ONB heat flux, whereas pressure has an inverse relationship. The prediction accuracy of the existing ONB correlations was evaluated. However, most correlations tended to under-predict the experimental values. Because they were not developed for the purpose of predicting the ONB of the swirl tube under sub-cooled flow conditions, all system parameters and the effect of the swirl tape were not reflected. Therefore, we developed new correlations using Python combined with machine learning.