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  • Numerical simulation of air...
    Bu, Xueqin; Lin, Guiping; Shen, Xiaobin; Hu, Zhongliang; Wen, Dongsheng

    International journal of heat and mass transfer, February 2020, 2020-02-00, 20200201, Volume: 148
    Journal Article

    •The tight-coupling method is firstly developed for aircraft thermal anti-icing simulations under icing conditions.•A modified heat and mass transfer model of the runback water is established for the tight-coupling simulations.•The predicted anti-icing temperatures are in acceptable agreement with the experiment data, verifying the tight-coupling method.•Convective heat transfer coefficient is affected by surface temperature distribution, and the tight-coupling method can model this effect and predict more reasonable results. Considering the influence of surface temperature distribution on air convective heat transfer coefficient, the robust tight-coupling method is firstly developed for aircraft thermal anti-icing simulations under icing conditions. To include the effects of the impinging water droplets on the conjugate heat transfer of thermal anti-icing systems, the Messinger thermodynamic model of runback water film is modified and added to the tightly coupled calculation of the external air flow and the internal solid skin heat conduction. Numerical simulations are carried out on an electro-thermal anti-icing system under both dry air and icing conditions, and the main conclusions below can be drawn. First, convective heat transfer coefficient changes slightly with surface temperature near the leading edge, but is obviously affected by temperature distribution in the downstream area. Second, the anti-icing temperature deviations between the predicted value and the experiment date are acceptable and comparable to the calculation results in the literature, verifying the feasibility and effectiveness of the tight-coupling method. Third, compared with the traditional decoupled loose-coupling method, the robust tight-coupling anti-icing method successfully captures the effect of surface temperature on convective heat transfer coefficient, and predicts higher temperature with lower drop rate on the downstream surfaces.