A modified heat transfer correlation for flow boiling in small channels based on the boundary layer theory. (April 2019)

• Record Type: Journal Article
• Authors: Zhang, Yang; Tan, Hongbo; Li, Yanzhong; Shan, Siyu; Liu, Yuman
• Is Part Of: International journal of heat and mass transfer. Volume 132(2019)
• Page Start: 107
• Page End: 117
• Publication Date: 2019-04
• Subjects: Flow boiling -- Boundary layer -- Small channel -- Hydrocarbon; Heat -- Transmission -- Periodicals; Mass transfer -- Periodicals; Chaleur -- Transmission -- Périodiques; Transfert de masse -- Périodiques; Electronic journals; 621.4022
• DOI: 10.1016/j.ijheatmasstransfer.2018.11.148
• Languages: English
• ISSNs: 0017-9310

Abstract

Highlights: A correlation for flow boiling was proposed with the effect of boundary layer. The correlation is for horizontal circular channels with diameters of 1.0–8.0 mm. The standard error and γ30 of new correlation are 18.9% and 91.3%, respectively. Abstract: Flow boiling in small channels has attracted much attention due to its promising application in compact phase change heat exchangers. In this paper, a flow boiling heat transfer database of light hydrocarbons in horizontal small channels is established. It is found that the heat transfer coefficient (HTC) for propane in the channel with 1.0 mm diameter depends on heat and mass fluxes in either the low or high quality region, which is different from the corresponding HTC in conventional channels. To explore the special phenomenon in small channels, a new model is proposed based on boundary layer theory by considering the function of bubble growth in flow boiling. The relationship between the boundary layer thickness and the bubble diameter is emphatically discussed. Based on the theoretical model, a new dimensionless parameter (Rtd) is introduced to evaluate the effect of channel dimension on the flow boiling heat transfer. Rtd reveals that the bubble growth is enhanced in both the low and high quality regions due to the flow confinement of the small channel. With the aid of Rtd, a modified heat transfer correlation is developed based on the database. Within the whole database, the overall standard error and γ30 of the modified correlation are 18.9% and 91.3%, respectively. The prediction performance is superior to those of existing correlations.