The presence of dust in the Mars atmosphere can adversely affect heat shields of entry vehicles by enhancing erosion and increasing surface heat fluxes. However, the accuracy of numerical simulations investigating these effects is limited due to a lack of well-validated physical models of the particle phase. To address this issue, the sensitivities of computational predictions of dust-induced heating augmentation to different parameters and components of the disperse-phase model are evaluated. In particular, the drag correlation, the Nusselt-number correlation, various contributions to momentum and energy transfer, and particle diameter are examined. Numerical simulations are performed using an Euler–Lagrange methodology, in which the carrier gas is solved with a discontinuous Galerkin method. Very strong sensitivity to the drag correlation, moderate sensitivity to the Nusselt-number correlation, and strong sensitivity to the particle diameter are found. In addition, the quasi-steady drag force and heating rate are the most significant contributors to interphase momentum and energy transfer, respectively. These results can contribute to improving models and identifying knowledge gaps and uncertainties in the appropriate dust conditions.

火星大气中的灰尘会通过增强腐蚀和增加表面热通量而对进入车辆的隔热屏产生不利影响。但是，由于缺乏有效验证的粒子相物理模型，研究这些效应的数值模拟的准确性受到限制。为了解决这个问题，评估了粉尘诱导的热量增加对分散相模型的不同参数和组成部分的计算预测的敏感性。特别地，检查了阻力相关性，努塞尔数相关性，对动量和能量传递的各种贡献以及粒径。数值模拟使用欧拉-拉格朗日方法进行，其中载气采用不连续的Galerkin方法求解。对阻力相关性非常强的敏感性，发现对努塞尔数相关性具有中等敏感性，并且对粒径具有很强的敏感性。此外，准稳态阻力和加热速率分别是相间动量和能量传递的最重要因素。这些结果可有助于改进模型，并在适当的粉尘条件下识别知识差距和不确定性。