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Multiphase flow in parallel channels is often an efficient approach to manageheat and energy distribution in engineering systems. However, two-phase flowwith heating in parallel channels is prone to maldistribution, resulting insub-optimal performance and in some cases, permanent damage. This challengerequires accurate flow modeling in parallel channels to mitigate or designagainst the adverse effect of two-phase flow maldistribution. The nonlinearnature of multiphase flow results in a multiplicity of predicted solutions forthe same condition, thereby creating significant challenges in modeling flowdistribution. Therefore, this study focuses on solving this challenge byapplying entropy generation analysis and the conservation of mass, momentumbalance, and energy balance to predict two-phase flow distribution in atwo-parallel-channel assembly with a numerical model. Both model predictionsand experimental data show that equally distributed flow becomes severelymaldistributed with a decrease in flow rate, resulting in significant change(>30%) in the entropy generation rate. We show that the entropy analysis can beapplied in distinguishing between stable and unstable flow distribution, likethe linear stability analysis used in previous studies. We also surpass thelimit of applying linear stability analysis by using entropy analysis toidentify the most feasible end state in a maldistribution process.

Application of entropy analysis in the prediction of flow distribution in parallel channels