This paper deals with the proposal of a reliable and accurate mesh morphing based technique to efficiently handle ice accretion simulations on models of industrial interest. Such an approach is based on the mathematical framework of radial basis functions, and it can be employed together with detailed CFD analyses to dynamically mould aircraft's geometries so as to mimic the growth of ice, even when complex shapes need to be reproduced. Providing that the position of mesh nodes can be altered, the meshless characteristic of the proposed approach enables its utilization with all CFD solvers and design strategies. The main implication of the usage of radial basis is an enhanced performance and reliability in managing rough icing shapes due to, respectively, the fast application of the smoothing of volume cells and the accuracy in controlling surface mesh nodes position. To show the effectiveness of such a technique, predefined ice profiles, calculated by means of an ice accretion tool, were successfully applied on a 2d case, the NACA0012 airfoil, and on a 3d case, the HIRENASD model, using both commercial and open source CFD solvers. Those icing simulations are part of an explorative set of studies that focused on addressing the numerical strategies to be adopted in the development of the EU FP7 Project RBF4AERO.
[1]
Marco Evangelos Biancolini,et al.
Track by Track Robust Optimization of a F1 Front Wing using Adjoint Solutions and Radial Basis Functions
,
2014
.
[2]
Marco Evangelos Biancolini,et al.
Sails trim optimisation using CFD and RBF mesh morphing
,
2014
.
[3]
Marco Evangelos Biancolini,et al.
A new workflow for patient specific image-based hemodynamics
,
2012,
CompIMAGE.
[4]
Me Biancolini,et al.
An Efficient Approach to Simulating Ice Accretion on 2D and 3D Airfoil
,
2014
.
[5]
Marco Evangelos Biancolini,et al.
Shaping Up: Mesh morphing reduces time required to optimize an aircraft wing
,
2013
.
[6]
Corrado Groth,et al.
Store separation: theoretical investigation of wing aeroelastic response
,
2014
.
[7]
Me Biancolini,et al.
Track by Track Robust Optimization of a F1 Front Wing using Adjoint Solutions and Radial Basis Functions (AIAA 2014-3174)
,
2014
.
[8]
Carol D. Wieseman,et al.
Overview of the Aeroelastic Prediction Workshop
,
2013
.
[9]
Marco Evangelos Biancolini,et al.
Aeroelastic Analysis of Aircraft Wind-Tunnel Model Coupling Structural and Fluid Dynamic Codes
,
2012
.