Contents lists available at ScienceDirect International Communications in Heat and Mass Transfer journal homepage: www.elsevier.com/locate/ichmt On the dynamics and heat transfer of bubble train in micro-channel ow boiling Qingming Liu a,b, , Wujun Wang b , Björn Palm b , Changhong Wang a , Xiang Jiang c a Faculty of Material and Energy Engineering, Guangdong University of Technology, 510006 Guangzhou, China b Department of Energy Technology, KTH Royal Institute of Technology, 10044 Stockholm, Sweden c School of Chemical Engineering, South China University of Technology, 510040 Guangzhou, China ARTICLE INFO Keywords: CFD Boiling Bubbles Multi-phase ow Micro-channels ABSTRACT The dynamics and heat transfer characteristics of ow boiling bubble train moving in a micro channel is studied numerically. The coupled level set and volume of uid (CLSVOF) is utilized to track interface and a non-equi- librium phase change model is applied to calculate the interface temperature as well as heat ux jump. The working uid is R134a and the wall material is aluminum. The uid enters the channel with a constant mass ux (335 kg/m 2 * s), and the boundary wall is heated with constant heat ux (14 kW/m 2 ). The growth of bubbles and the transition of ow regime are compared to an experimental visualization. Moreover, the bubble evaporation rate and wall heat transfer coecient have been examined, respectively. Local heat transfer is signicantly enhanced by evaporation occurring vicinity of interface of the bubbles. The local wall temperature is found to be dependent on the thickness of the liquid lm between the bubble train and the wall. 1. Introduction Flow boiling in micro-channel is a common phenomenon among various industrial applications such as liquid electronic cooling system and fuel cells [18]. Dierent ow patterns have been observed. Starting from the inlet, there are nucleate boiling, conned bubbles, elongated bubbles, annular ow, and dry-out near the end [7,14]. It is believed that each ow pattern has its own heat transfer characteristics, which makes estimation of the overall or average heat transfer coecient dicult. Experiment study has contributed in the overall heat transfer coecient estimation and ow pattern visualiza- tion. Xu [22] studied stability of seed bubbles in parallel micro-chan- nels. Tibirica [20] investigated the ow patterns and bubble departure characteristics and developed two methods for estimation of average surface heat ux. Cosolini [3]proposed a model for predicating coa- lescing bubbles based on collected experiment data. Yang [23] ex- amined heat transfer characteristics of annular ow regime. Ali and colleagues [1,2,12] investigated dierent refrigerants' performance in micro channel ow boiling. Deng, Fernandino et al. [4] modelled the dry-out of annular and mist ow regime during binary mixtures boiling. Their results suggest a large initial entrainment and a non-negligible nucleation induced entrainment must be included. Based on their model, the local critical heat ux and the dry-out location are almost linearly dependent on the mixture compositions under non-uniform heat ux distributions. Wang, Zhang et al. [21] studied the critical heat ux (CHF) of liquid lm by employing a confocal optical sensor system. They measured the dynamics and the integrity of a thin liquid lm sheared by a co-current air above and heated from below at a horizontal aluminum channel. Their results indicate that the entrainment governs the liquid lm thinning process under adiabatic or lower heat ux conditions, whereas the evaporation becomes more pronounced in a higher heat ux system. However, experimental tool has encountered diculties in local heat transfer calculation and ow regime transitions. This is mainly caused by the extremely small scale of the channels and quick process of the transitions. Thanks to the advancement in computational facilities and algo- rithms, computational uid dynamic (CFD) becomes popular in certain aspects of micro-channel boiling study [13]. conducted one of the earliest study in bubble growth in micro channel. They used level set as the interface tracking tool. Magnini [10,11] has studied a single con- ned bubble grow in micro-channel. Sun [6,17] developed a volume of uid and level set (VOSET) method. Gong [5] used lattice Boltzmann method to study droplet formation under electric eld. The transition processes between nucleate boiling and conned bubbly ow regime has been studied [8,9]. Sato [15] investigated the conjugate heat transfer by including the solid wall. As far as the author's knowledge is concerning, there is not study on http://dx.doi.org/10.1016/j.icheatmasstransfer.2017.07.002 Corresponding author at: Faculty of Material and Energy Engineering, Guangdong University of Technology, 510006 Guangzhou, China. E-mail address: liuqm2017@foxmail.com (Q. Liu). International Communications in Heat and Mass Transfer 87 (2017) 198–203 0735-1933/ © 2017 Elsevier Ltd. All rights reserved. MARK