Abstract The most important goals of the Aviation nowadays are improving fuel efficiency and reducing emissions as well as noise. Such goals usually require designing lighter components, which are more prone to mechanical vibrations. In this regard blades are the most critical components in term of high cycle fatigue (HFC) failure occurrence. This Master Thesis work is developed in collaboration with Avio Aero and its purpose is to evaluate the flutter stability of a Low Pressure Turbine (LPT) blade. The case of study is the blade of the LPT ARiAS test article. ARiAS (Advanced Research into Aeromechanical Solutions) is a Horizon 2020 funded Research Project in the field of aeronautical engineering whose objective is to improve the predictive capability of numerical methods used to analyze aerodynamically induced blade vibrations in aircraft engines.?? The aim of this Thesis Work is to analyze the predictive capability of non-linearized flutter solvers with different turbulence closure models.