Patrick Verdin

Multistep Results in ICECREMO2

Multistep versions of the aircraft icing code ICECREM02 are investigated. Several multistep algorithms are presented and tested on a NACA0012 wing in rime and glaze ice conditions. The resulting ice layers are compared with experimental results and the efficiency of each algorithm is discussed. The step-by-step algorithm with an ice height criterion provided the most time-efficient solution in glaze ice conditions.

Explicit finite volume modeling of aircraft anti-icing and de-icing

In this paper, a runback water and ice prediction model is extended to anti-icing and thermal de-icing situations. The resulting coupled equations that govern thin-film flow, ice accretion, and heat conduction in the multilayered system substrate-ice-water are solved using an explicit finite volume approach. The procedure is implemented in the three-dimensional icing code ICECREMO2, and both structured and unstructured grids can be considered. Numerical results are presented to compare the present code simulations to some data provided by other ice prediction codes and to show the capabilities of the present numerical tool.

Multi-Stepping Ice Prediction on Cylinders and Other Relevant Geometries

Predicted ice shapes obtained with a fully automated multi-stepping procedure implemented in the ice prediction code ICECREMO2 are discussed in this paper. Several multi-step algorithms are used to generate ice layers on cylinders in rime and glaze ice conditions. Although all multi-step algorithms produce acceptable rime ice results, a multi-step approach based on an ice height criterion appears as the most efficient method for glaze ice predictions. The outcome is compared with results obtained for a NACA0012 airfoil geometry. The influence of the un-iced substrate shape is investigated, general restart criteria for multi-step height-based icing codes are presented and discussed.

Multi-Stepping and Anti-Icing / De-Icing Devices

A multi-step version of the aircraft icing code ICECREMO2 is used to simulate ice layers in cold and mild conditions. The models used are presented and results are compared with available data. The modifications necessary to introduce anti- or de-icing devices in the model are also discussed.