响应面法（Response Surface Methodology，RSM）是评价多个自变量对过程及结果影响程度的有效工具。基于RSM方法，试验研究了氧化石墨烯（Graphene Oxide，GO）纳米流体对脉动热管（Pulsating Heat Pipe，PHP）的传热强化作用，分析了加热功率20~105 W、充液率25%~75%及GO纳米流体质量分数0%~0.1%时对PHP传热性能的影响。结果表明：氧化石墨烯/水脉动热管传热性能受加热功率、充液率及GO纳米流体质量分数的共同影响；加热功率（Q）的影响最大，其次是充液率（FR），GO纳米流体质量分数（ω）的影响最小；Q与FR的交互作用较强时，对热阻影响显著；FR与ω的交互作用较弱时，对热阻影响则较小；Q与ω的交互作用及对热阻的影响最小；最佳运行参数为Q=96.4 W，FR=67.5%，ω=0.041%，对应的热阻值Rmin为0.463 K/W；应用RSM方法可大幅减少实验次数，有效分析GO/水PHP传热性能及影响因素，并预测最佳运行工况。

Response surface methodology (RSM) is an effective tool for evaluating the extent to which multiple independent variables affect processes and outcomes. Based on the RSM method, the heat transfer enhancement effect of graphene oxide (GO) nanofluids on pulsating heat pipes (PHP) was experimentally studied. The heating power of 20 to 105 W, the liquid filling rate of 25% to 75% and the mass fraction of GO nanofluids of 0% to 0.1% were adjusted to analyze their influence on the heat transfer performance of PHP. Results show that the heat transfer performance of GO/water PHP is affected by the heating power, liquid filling rate and mass fraction of GO nanofluid;heating power Q has the greatest effect, followed by liquid filling rate FR, and mass fraction ω has the least effect; in terms of the influence of the cross term, Q has a strong interaction with FR, which means that it has a significant effect on the thermal resistance; when the interaction between FR and ω is weak, its effect on thermal resistance is small; the interaction between Q and ω has minimal effect on thermal resistance; the predicted optimal operating parameters are as follows, Q is 96.4 W, FR is 67.5%, ω is 0.041%, and the corresponding thermal resistance value Rmin is 0.463 K/W; in conclusion, the application of RSM method can greatly reduce the number of tests, effectively analyze the heat transfer performance and influencing factors of GO/water PHP, and predict the optimal operating conditions.

TK79

国家重点研发计划（2016YFB0601404）