Who are we?
ANADE is an Initial Training Network (ITN) project funded under the European Commission' Seventh Framework Programme (FP7) within People work programme (Marie Curie actions).
ANADE: Advances in Numerical and Analytical tools for DEtached flow prediction started on the 1st of January 2012. The project is coordinated by the Universidad Politécnica de Madrid (UPM) and consists of 10 partners from 5 different European countries brought together by the common interest in fluid dynamics research applied to aeronautical sector. The aim of the project is to provide a common training program which addresses the shortage of scientists and engineers in Europe by offering research training based on strong collaboration between industry and academia.
During the 4 years of the project 14 early stage researchers and 3 experienced researchers will be employed and trained within ANADE.
The scientific topics of the project will be focused on the prediction and control of highly detached massively separated flows, with aeroacoustic detection and propagation. A contribution to a better understanding of the underlying physics and the advancement of new numerical methods better suited for these flows is expected as a scientific outcome of the project.
The training of the fellows is focused on acquiring awareness of fluid dynamics methods that contribute to a deeper understanding of environmental fluid mechanics problems in a series of applications of key technological relevance which could be implemented within the airplane design process. It is intended to extend the range of simulation available today, both in physics understanding and in new technologies. Direct impact is expected on methods that are based on the complicated analysis of flow separation (by introducing new techniques that provide insight about the stability of a given design), noise generation (early simulation capabilities based on current technologies in use), novel simulation techniques (that will reduce the design loop cost by reduction of resources needed to perform the same simulation), solution quality increase (by improving the mesh generation quality assessment).