Project description

Advanced composite materials exhibit outstanding mechanical properties together with low density, which make them extremely desirable in such applications where the weight reduction is crucial, such as the aerospace and, more recently, the automotive industry. Nevertheless, due to the intrinsic complexity of such materials, i.e. the presence of different phases, the behaviour and damage prediction of such materials is nowadays very challenging.

In the industrial context, the design process is supported by extensive experimental campaigns together with computer simulations. Today, this process is still expensive and time consuming.

The challenge of my research is to develop a new, fast and reliable Virtual Testing methodology based on Multi-Scale modelling able to reproduce and dramatically reduce tests on coupons. Finally, the robustness of the methodology should be validated with industrial case studies from the automotive industry.

Education

Researcher at Siemens Industry Software (2017-present).

M.Sc and B.Sc, Materials Engineering and Nanotechnology, Polytechnic University of Milan, Italy (2009-2015).

Research interests

Carbon fiber composites; Model order reduction; Multi-scale modeling

Personal note

I am a keen traveller, with strong preference on backpack style trips. I have a curious and open mind, which make easy for me to meet and get close to people from different countries and with different cultures. I like to study languages and to practice them whenever I can. In my spare time I like to do sports, now I’m into rock climbing. I have also a passion for cooking as well.