Nanofluids with excellent thermal properties can be used for a coolant and the heat exchange. Actually, the heat transfer between the nanoparticles and working medium benefits from the nanoparticles movement, which could be controlled actively by the electrical field with periodically changed direction (PCD electrical field). Therefore, the coupled effect of nanofluid and switching period and the prediction model were investigated. Concretely, the boiling heat transfer coefficient (BHTC) and the critical heat flux (CHF) with various switching periods of the electrical field were compared. Meanwhile, the mechanism of heat transfer enhancement was discussed. Besides, the predicted model was developed. The present study finds that the BHTC and the CHF will be further strengthened due to the coupled effect of the PCD electrical field and nanofluid. However, this enhancement has an optimal concentration. Moreover, the heat transfer performance enhancement is attributed to the continuous heat transfer by nanoparticle and the further decrease of surface tension. The prediction curves mostly coincide with experimental data, and the prediction models are proposed by considering the influence of the switching period, the nanoparticles movement, the gas-liquid interface surface tension and the dynamic thermal conductivity.

具有优异热性能的纳米流体可用于冷却剂和热交换。实际上，纳米粒子和工作介质之间的热传递受益于纳米粒子的运动，这可以通过周期性改变方向的电场（PCD电场）来主动控制。因此，研究了纳米流体和开关周期的耦合效应以及预测模型。具体而言，比较了不同电场切换周期的沸腾传热系数（BHTC）和临界热通量（CHF）。同时，讨论了强化传热的机理。此外，还开发了预测模型。本研究发现，由于 PCD 电场和纳米流体的耦合效应，BHTC 和 CHF 将进一步加强。然而，这种增强具有最佳浓度。此外，传热性能的提高归因于纳米粒子的连续传热和表面张力的进一步降低。预测曲线大多与实验数据吻合，并考虑切换周期、纳米粒子运动、气液界面表面张力和动态热导率等因素的影响，提出了预测模型。