@Article{CiCP-30-515,
author = {Zhu , ChengxiangZhao , HuanyuZhao , NingZhu , Chunling and Liu , Yu},
title = {An Adaptive Cartesian Method for Prediction of the Unsteady Process of Aircraft Ice Accretion},
journal = {Communications in Computational Physics},
year = {2021},
volume = {30},
number = {2},
pages = {515--535},
abstract = {<p style="text-align: justify;">An adaptive Cartesian method combined with the ghost cell method is proposed to solve problems of unsteady aircraft icing simulation in this paper. In the grid
generation module, Cartesian method is used to generate the background grids around
the clean and iced geometries. Boundary self-adaptive method is developed to update
the grids as the ice accumulates and the geometry is changing over time. Besides, local
encryption is carried out around the boundary grids in order to improve the prediction accuracy. An improved ray method is used to classify the grids into four types,
named fluid grids, solid grids, boundary grids and ghost grids. The flow field is obtained by solving Euler equations, and the ghost cell method is introduced to provide
the boundary conditions due to the non-body-fitted feature of Cartesian grids. Droplet
trajectories are calculated using Lagrangian method. And a new and efficient droplet
location judgment method is proposed to determine whether the droplet impinges on
the surface. Besides, the ice accretion behaviors are predicted using Messinger model.
With the method proposed in this paper, extensive numerical tests in various icing
temperatures are simulated. And, the computational results are compared with test
results. It can be seen that the proposed new method can predict the unsteady process
of aircraft ice accretion and the compared results also show better agreements for both
glaze and rime ice.</p>},
issn = {1991-7120},
doi = {https://doi.org/10.4208/cicp.OA-2018-0228},
url = {http://global-sci.org/intro/article_detail/cicp/19123.html}
}