Numerical modeling of turbulent impinging swirling jets involve complex flow physics that make their computation still very challenging. Thus, the literature on computational modeling of these nanofluid jets is really scarce, with most works on laminar impinging nanofluid jets or turbulent swirling/non-swirling air or water-only jets. In this paper a computational analysis of different configurations in the application of ${\mathrm{A}\mathrm{l}}_2{\mathrm{O}}_3$ nanoparticles to submerged high-Reynolds turbulent jet flows for cooling purposes is developed. Six volume fractions have been investigated ($\varphi =0,2,4,6,8$ and $10\mathrm{\%}$, which correspond to a Prandtl number of the nanofluid within the range $P{r}_{nf}\in [7,14.4]$) along with two nozzle-to-plate distances ($H/D=2$ and 4) and several swirl numbers ($S=0$, $0.16$, $0.27$, $0.45$, $0.77$ and $0.83$). The jet regime is fixed at a Reynolds number $Re=\mathrm{35,000}$. The computational study shows that the application of nanoparticles enhances forced convection for all the simulations carried out. However, the influence of swirl number and nozzle-to-plate distance is not that clear. Variations cause different effects on the performance. For instance, to vary the swirl intensity at large nozzle-to-plate separation has different effect than in short separations. Also, some ranges of variation of swirl may enhance heat transfer whilst others may worsen it.

湍流冲击旋流的数值模拟涉及复杂的流动物理学，这使得它们的计算仍然非常具有挑战性。因此，关于这些纳米流体射流的计算模型的文献确实很少，大多数研究是关于层流撞击纳米流体射流，湍流涡流/非旋流空气或仅水射流。本文对不同配置的计算分析进行了应用${\mathrm{一种}\mathrm{升}}_2{\mathrm{Ø}}_3$纳米颗粒被淹没到高雷诺湍流中以冷却。已研究了六个体积分数（$\varphi =0，2，4，6，8$ 和 $10\mathrm{％}$，对应于范围内的纳米流体的普朗特数 $P{\mathrm{[R}}_{ñF}\in [7，14.4]$）以及两个喷嘴到板的距离（$H/d=2$ 和4）和几个旋流数（$\mathrm{小号}=0$， $0.16$， $0.27$， $0.45$， $0.77$ 和 $0.83$）。喷射方式固定为雷诺数$\mathrm{[R}Ë=\mathrm{35,000}$。计算研究表明，纳米颗粒的应用增强了所有进行的模拟的强制对流。但是，旋流数和喷嘴至板间距离的影响尚不清楚。变化会对性能造成不同的影响。例如，在大的喷嘴到板间距下改变旋流强度与在短间距下改变旋流强度具有不同的效果。同样，旋涡的某些变化范围可能会增强传热，而其他范围可能会使传热变差。